Do you wish to be a part of a disruptive team, passionate towards democratizing education for students across India? Then read more.
Our client is an expert in education financing and counselling related to higher studies abroad. They help students to understand about scholarships in various colleges abroad, whether they are eligible and how to apply for such esteemed institutions. Their dedicated page enlists every scholarship available across the globe, apart from other facilities required by students like visa counselling, forex, accommodation, Peer contacts etc.
They also offer the best resources for exams like IELTS, TOEFL and GRE apart from organising webinars and events to connect with industry experts, alumni and fellow students - that helps to prepare for these travels, loans and more. Partnered with the most prominent Banking and non-banking financiers, the team is led by FinTech-experienced IIT Kanpur alumni, passionate about offering sustainable financial offerings.
As a Relationship Manager, you will build and maintain a relationship with partner banks.
What you will do:
- Managing a team of Relationship Officers and customer handling.
- Resolving customer complaints quickly and effectively.
- Improving overall customers service experience.
- Generating referrals and cross-selling.
What you need to have:
- Experience of sales and client handling for at least 6 months
- Interpersonal and communication skills
- Knowledge of sales procedures and trends
- Experience with ed-tech/ fin-tech will be a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Description: Business Analyst (Capital Markets / Investment Management)
Position Summary
We are seeking an experienced Business Analyst with strong techno-functional expertise in Capital Markets, Investment Banking, Asset Management, and Risk Management. The ideal candidate will have hands-on experience across the full trade lifecycle, UAT leadership, risk frameworks, FIX protocol, and digital transformation initiatives. This role requires close collaboration with front, middle, and back-office stakeholders, IT teams, and external vendors to deliver critical business and regulatory solutions.
Key Responsibilities
Business Analysis & Requirements Management
· Lead requirements gathering, documentation (BRD, FRD, User Stories), workflow mapping, and gap analysis.
· Conduct JAD sessions with Trading Desks, Portfolio Managers, Risk, Compliance, and Technology teams.
· Translate business requirements into detailed functional specifications and acceptance criteria.
· Manage and prioritize product backlogs using Agile/Scrum methodologies.
Trade Lifecycle & Capital Markets Expertise
· Support end-to-end trade flows across Equities, Derivatives, Fixed Income, Forex, Options, ETFs, Private Equity, and Structured Products.
· Validate front-to-back trade processes including order placement, execution, allocations, settlement, reconciliation, and reporting.
· Work with OMS/EMS platforms, market connectivity, and brokerage systems.
Risk Management (Market, Model, Liquidity, Credit)
· Analyze VaR, stress testing, scenario analysis, exposure calculations, and liquidity metrics (LCR/NSFR).
· Contribute to market risk policy formulation, governance, and regulatory compliance.
· Identify risk hotspots, process gaps, and control weaknesses with actionable remediation plans.
· Support regulatory reporting including Mark-to-Market and Notional Change requirements.
UAT, QA & Testing Leadership
· Lead end-to-end UAT cycles for trading, risk, and investment applications.
· Create test plans, test cases, and defect logs; track issues through JIRA until closure.
· Perform regression, functional, and production validation testing.
· Coordinate with QA, development teams, and Front Office for seamless deployment.
FIX Protocol & System Integrations
· Gather and validate FIX requirements for OMS/EMS integration.
· Support FIX message mapping, configuration, certification, and UAT.
· Collaborate with brokers, exchanges, and internal development teams for connectivity and workflow enhancements.
Client Management & Onboarding (Buy-side/Sell-side)
· Manage onboarding for clients such as Hedge Funds, Family Offices, Asset Managers, and Prime Brokers.
· Conduct requirement workshops, product demos, trainings, and post-implementation support.
· Serve as the primary point of contact for issue resolution, escalations, and enhancement discussions.
Project & Stakeholder Management
· Drive project plans, milestones, and sprint activities (Planning, Grooming, Stand-ups, Retrospectives).
· Ensure alignment between business needs and technology delivery.
· Prepare executive-level dashboards, presentations, and risk summaries for senior stakeholders.
Skills & Competencies
Technical Skills
· Tools & Platforms: Bloomberg, Refinitiv, FactSet, BlackRock Aladdin, Robinhood, IRIS, Falcon
· Databases: SQL, Excel (advanced), data reconciliation tools
· Project Tools: JIRA, Monday.com, Confluence, MS Visio, Axure
· Risk Systems: VAR models, stress testing tools, exposure monitoring systems
Core Competencies
· Strong stakeholder management & communication
· Business rules analysis & functional documentation
· UI/UX requirement mapping
· Data migration & system integration
· Analytical thinking & problem-solving
· Cross-functional collaboration
Qualifications
·
9+ years of experience in Capital Markets, Investment Management, and Trading/Risk Systems.
·
· MBA Finance (preferred) / BBA Finance.
· Certifications:
o NISM – Equity, Derivatives, Options Strategies
o CFI – Fixed Income Fundamentals
o Microsoft – Career Essentials in Business Analysis
o FRM (GARP) – Pursuing
Preferred Experience
· Working on end-to-end trading platform implementations.
· Exposure to Hedge Funds, PMS, AIF, Private Equity, and Wealth Management workflows.
· Knowledge of regulatory frameworks (Basel II–IV, SEBI, Risk Governance).
· Experience authoring policies, SOPs, and process documentation.
Soft Skills
· Excellent verbal and written communication.
· Strong analytical and quantitative capabilities.
· Ability to translate technical concepts to business stakeholders.
· High ownership, deadline orientation, and team collaboration skills.
Java
Spring BootJava Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. Required Skills: • Exp. - 4 to 7 years. • Experience in Core Java and Spring Boot. • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should have the ability to analyze, design, develop and test complex, low-latency client facing applications. • Good development experience with RDBMS. • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. • Excellent problem solving and coding skills. • Strong interpersonal, communication and analytical skills. • Should have the ability to express their design ideas and thoughts. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider.
Job Title: ServiceNow Analyst – CMDB and Discovery Specialist
Location: Gurgaon, Hybrid
Experience Required: 5+ Years
Job Type: [Full Time]
Job Summary:
We are seeking a highly skilled and experienced ServiceNow Analyst to join our team. The ideal candidate will be proficient in managing the Configuration Management Database (CMDB) within ServiceNow, with a strong background in ServiceNow Discovery and Service Mapping. This role involves identifying and resolving Discovery errors, ensuring the accuracy and integrity of the CMDB, and contributing to the overall efficiency of our IT service management processes.
This position is part of our ServiceNow ITOM (IT Operations Management) efforts, focused on Discovery, Service Mapping, and CMDB operations.
The ServiceNow CMDB and Discovery Administrator will be responsible for helping define, implement and integrate multiple discovery sources to support the configuration management database (CMDB).
Responsibilities:
CMDB Management:
- Maintain and manage the Configuration Management Database (CMDB) within ServiceNow.
- Ensure the accuracy and integrity of CMDB data, implementing best practices and standards.
- Regularly audit and reconcile CMDB data to maintain up-to-date and accurate information.
Discovery and Service Mapping:
- Work with support teams to ensure that the Discovery tool has the appropriate access and permissions to capture configuration information.
- Perform day-to-day administration of the ServiceNow Service Mapping/Discovery tool, including mapping additional defined business services into the tool and updating discovery configurations for deeper network penetration.
- Assist the CMDB Administrator with developing and maintaining the technical design of the ServiceNow CMDB to meet the current and anticipated scope and maintain CMDB integrity to effectively support other ITSM processes such as Incident Mgt., Change Mgt., and Asset Mgt.
- Implement data governance through identification rules and configuration of multiple discovery sources that populate the CMDB.
- Strong hands-on experience in optimizing discovery, tailoring patterns and development.
- Validating discovery results and troubleshooting as required.
- Assist the CMDB Administrator team with designing, deploying, and managing ServiceNow Service Mapping solutions for both on-premise and cloud resources, including schedules, credentials, and mid-servers.
- Define, create, and manage Service Mapping infrastructure, including patterns.
- Work with support teams to identify, investigate, and resolve Service Mapping issues, ensuring that Service Mapping is performing as expected.
- Assist in creating and maintaining Service Mapping-related documentation, aligning with other methods of populating the CMDB.
General/Admin:
- Assist with tasks related to implementing the ServiceNow application.
- Document procedures for the discovery, configuration management functions.
- Assist in developing, modifying, and configuring reports, dashboards, and outputs associated with the change, configuration, discovery, and mapping functions.
Qualifications:
- Over 5+ years of working experience in ServiceNow
- 3+ years' experience implementing, administering and optimizing ServiceNow Discovery and additional discovery tools
- Solid understanding of Configuration Management practices and principles
- Experience implementing ServiceNow Service Mapping
- ITIL foundations certification preferred
- Strong ability to effectively communicate (oral and written) with multiple levels of the organization (internally and externally)
- Effectively working under accelerated deadlines and working independently to complete objectives
- Experience working in a team-oriented, collaborative environment with good interpersonal skill
- Ability to translate business requirements into technical specifications and design
- Self-starter, positive attitude, and ability to problem-solve under minimal supervision
- Intelligent, motivated, and competitive with a “roll-up-the-sleeves” and “get the job done” attitude
- Ability to manage multiple simultaneous tasks within an open and interactive environment
The Platform Data Science team works at the intersection of data science and engineering. Domain experts develop and advance platforms, including the data platforms, machine learning platform, other platforms for Forecasting, Experimentation, Anomaly Detection, Conversational AI, Underwriting of Risk, Portfolio Management, Fraud Detection & Prevention and many more. We also are the Data Science and Analytics partners for Product and provide Behavioural Science insights across Jupiter.
About the role:
We’re looking for strong Software Engineers that can combine EMR, Redshift, Hadoop, Spark, Kafka, Elastic Search, Tensorflow, Pytorch and other technologies to build the next generation Data Platform, ML Platform, Experimentation Platform. If this sounds interesting we’d love to hear from you!
This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.
Key Responsibilities:
Participate, Own & Influence in architecting & designing of systems
Collaborate with other engineers, data scientists, product managers
Build intelligent systems that drive decisions
Build systems that enable us to perform experiments and iterate quickly
Build platforms that enable scientists to train, deploy and monitor models at scale
Build analytical systems that drives better decision making
Required Skills:
Programming experience with at least one modern language such as Java, Scala including object-oriented design
Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
Bachelor’s degree in Computer Science or related field
Computer Science fundamentals in object-oriented design
Computer Science fundamentals in data structures
Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
Experience in databases, analytics, big data systems or business intelligence products:
Data lake, data warehouse, ETL, ML platform
Big data tech like: Hadoop, Apache Spark
Mandatory skills:
SAP HANA Database 1.0 & 2.0.
HANA Database Tools.
Monitoring, Tuning, and Troubleshooting of SAP HANA systems.
Job description
• Having experience on Implementation, Upgrade and Maintenance & Support Projects.
• Planning all the upcoming activities with the client and with the team and making sure it is
executed on time.
• Experience in monitoring, tuning, and troubleshooting of SAP HANA systems and performed
the system refresh activities
• Installation of SAP Hana Database 1.0 and 2.0
• Starting and stopping of SAP HANA systems
• Monitoring SAP HANA system landscape
• Create and configure connection SLT to ECC
• Initial configuration of SLT Replication Server
• Experienced in using various HANA database tools like HANA studio
• Scheduling regular backups of HANA system
• SAP Hana system Refresh and performed the Revision upgrades
• Upgrades the Hana Database from 1.0 and 2.0
• Performed the Client Copies, Movement of Transports, configured the Printers and Applied
the support packages in ABAP and Java systems using SPAM and SUM
• Having experience on Implementation, Upgrade and Maintenance & Support Projects.
• Planning all the upcoming activities with the client and with the team and making sure it is
executed on time.
• Experience in monitoring, tuning, and troubleshooting of SAP HANA systems and performed
the system refresh activities
• Installation of SAP Hana Database 1.0 and 2.0
• Starting and stopping of SAP HANA systems
• Monitoring SAP HANA system landscape
• Create and configure connection SLT to ECC
• Initial configuration of SLT Replication Server
• Experienced in using various HANA database tools like HANA studio
• Scheduling regular backups of HANA system
• SAP Hana system Refresh and performed the Revision upgrades
• Upgrades the Hana Database from 1.0 and 2.0
• Performed the Client Copies, Movement of Transports, configured the Printers and Applied
the support packages in ABAP and Java systems using SPAM and SUM
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Java
Javascript
HTML/CSS- Java / J2ee Development environments
- Eclipse or similar tooling
- Very Strong Web front end development including JavaScript, Angular, React, etc.
- Develop REST based microservices using Spring, SpringBoot, SpringCloud, SpringListener, SpringMVC, JavaScript, HTML, XML, JUNITS Cloud, container image development and container orchestration
Skills Required:
- Angular, Spring Springboot, SQL Server
Experience Preferred:
- Looking for a full stack developer with Strong Front end experience, Spring Springboot, SQL Server, GCP
Angular (2+)HTML/CSS• Angular developer (3 - 5 years of experience)
• Should have expert level knowledge to Design, Develop and test Web Apps with Angular versions 6 and above.
• Primary Skills – Angular6+, HTML, CSS3, JavaScript.
• Node JS as backend will be advantage
• Knowledge of Mongo, MySql will be advantage
• Highly skilled at front-end engineering using Object-Oriented JavaScript, TypeScript, various JavaScript,TypeScript patterns and frameworks.
• Should have experience in publishing and consuming Services using REST API
• Excellent time-management, multi-tasking, and communication skills. Capable of handling multiple projects and related complexities at the same time.
• Compensation - As per industry standards.
• Joining – at earliest.
React Native
Amazon Web Services (AWS)Software Engineer, React Native.
Intro:
Empala is an exciting new fintech launching in Singapore. Empala aims to help workers in the SEA region get access to their pay & helping them save for unexpected expenses.
Job Description:
As fullstack developer at Empala you will be building and shaping our product. Our current offerings are centered around a React Native app (iOS & Android) with a serverless backend.
Empala is a flat and young organization, meaning every hand has a lasting impact on our product and our culture. You will report directly to the CTO and will in general be working closely with the founders. The job is of course mostly focused on building and maintaining our products, but in a small team you will have to wear a lot of hats, you could get involved in sales, marketing or anything in between, ideally you will see this as a positive thing and a chance to learn more about our users/customers/new areas of work.
Benefits:
At Empala we offer a competitive package that will be a mix of salary and employee stock options. We pay ourselves on demand meaning you can get paid for the work you have done when you wish it, be it daily, weekly, monthly or a combination of above.
Requirements:
The following requirements are a guideline, if you are missing some points but you are confident that you can master them in a reasonable amount of time there might still be a place for you at Empala.
Preferred
- React Native
- Backend tools and frameworks (express or any other, non JS is OK as well)
- Cloud providers, AWS preferred
- Git
Other requirements
- Fluent in english
- Proactive approach to problem solving
- A hunger to get stuff done
Nice to have:
- Experience with Redux, GraphQL, Typescript, AWS Amplify
- Experience with SCRUM and/or TDD
Adobe Illustrator
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon