knowledai

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).

Key Responsibilities

🧪 AI/ML Research & Development

• Develop AI models to identify learning difficulty patterns based on multi-domain assessments.
• Train models to classify LD categories (e.g., dyslexia, dysgraphia) from scoring + qualitative inputs.
• Build recommendation logic for intervention strategies based on child profiles and educator feedback.

📊 Data Processing & Pipeline

• Design data pipelines to preprocess structured and semi-structured data (scores, observations, logs).
• Work with educator-generated reports and build logic to convert qualitative insights into ML-readable formats.

🔎 Model Evaluation & Iteration

• Perform evaluation using accuracy, recall, precision; but also focus on interpretability and ethical AI.
• Use techniques like SHAP, attention weights, or decision trees for explainability in recommendations.

🤝 Collaboration & Integration

• Work closely with frontend/backend teams to integrate AI insights into the assessment tool UI.
• Sync with special educators to validate model predictions and continuously improve the output quality.