AI/ML Engineer

Sole engineer on a production agentic AI platform at a global enterprise IT services firm. Built on AWS Bedrock with Claude API. Designed end-to-end RAG pipeline with Hugging Face embeddings, FAISS vector indexing, cosine similarity retrieval with confidence thresholding, and rubric-level chunking strategy that outperformed page-level chunking by 25% on relevance metrics. Implemented multi-step agent orchestration via MCP with tool-calling for autonomous data retrieval from external enterprise systems. Built LLM evaluation framework for non-deterministic outputs: tolerance-based regression testing against 50 golden examples, structural constraint validation, and retrieval confidence monitoring with automated deployment gating. Flask REST APIs, Docker, CI/CD via GitHub Actions, 90%+ pytest coverage. Client team adopted the system for daily use without engineering support, improving assessment accuracy by 30% and cutting shortlisting time by 40%.

Independently built a HIPAA-compliant clinical risk prediction platform. XGBoost + LightGBM ensemble trained on 200K+ synthetic patients with 5 years of longitudinal adherence data in PostgreSQL. Domain-driven feature engineering with composite risk scoring from comorbidity indices, medication load, and admission history. SHAP explainability so clinicians see exactly why a patient was flagged. Groq-powered AI narratives that translate model outputs into clinical language. KNN similar-patient matching across demographics. Demographic bias auditing across patient groups with disparate impact analysis. Human-in-the-loop audit workflows for regulated clinical decision-making. Caught a data leakage bug where an earlier training run hit AUC=1.0 because labels were deterministic functions of input features. Restructured the pipeline and shipped an honest model.

Multi-user music coordination platform where the core problem is recommendation and personalization across heterogeneous content sources. FastAPI backend orchestrating specialized micro-agents for fairness reranking, taste synthesis, and cross-device sync across Spotify and YouTube. Abstracts two different music APIs into a single unified queue across 7 devices. Deployed on Railway and Vercel.