At InAmigos Foundation, I work on machine learning workflows using Python, from data preprocessing and feature engineering to model development, evaluation, and dataset analysis.
I built SkillSwap Arena, an AI-powered peer-learning platform that connects users by skill and offers personalized guidance through an AI Mentor. It uses RAG and semantic search, with FAISS embedding retrieval and Docker-based CI/CD through GitHub Actions.
I built RecoverX, a revenue intelligence platform that analyzes payment failures across 20+ signals to detect revenue leakage and prioritize recovery opportunities. Its FastAPI backend includes 10+ endpoints for scoring and policy evaluation.
For NeuroDebug, I built an AI-assisted debugging system combining AST-based rules with Groq LLM reasoning, plus a Docker-isolated workflow to execute and verify generated fixes. I’m studying Information Science and Engineering at CMR Institute of Technology.
