Key Responsibilities
š§Ŗ 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.
š 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.
š 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.
š¤ 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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Full Stack Developer - Averlon