🎓 M.S. Applied Data Science @ Syracuse University (GPA: 3.92/4.0)
💼 2+ years in FinTech (Freo & Simpl) : driving data-driven decisions at scale
🤖 Building ML applications end-to-end: from research and experimentation to production deployment
🌍 Passionate about LLMs, RAG systems, and agentic AI
✈️ OPT Eligible (STEM)

• 🏗️ Building an MCP server integrating Claude AI with building simulation platforms for natural language parameter configuration
• 🧠 Training surrogate models on 1000+ parametric simulation runs ; cutting simulation time from hours to seconds

AI-powered GitHub repo analysis using LangChain ReAct agents + RAG (ChromaDB + OpenAI embeddings). Answer natural language questions about any codebase ; commits, PRs, and evolution — across 100+ commits in under 2 minutes.
LangChain RAG ChromaDB OpenAI ReAct

Full-stack Azure-deployed gym membership platform with an AI recommendation engine. 13 REST endpoints, React frontend, serverless billing, and an OpenAI-powered workout planner with 5 custom function-calling tools.
FastAPI React Azure OpenAI SQLAlchemy

Open-source contribution merged upstream into 3dfernando/pressure-osmosis — added Python bindings (OmniPython) to a GPU solver for pressure-from-PIV computation, expanding access from MATLAB-only to the Python scientific community. Validated via Taylor vortex simulations with <0.05% error. Packaged as pip-installable.
CUDA C++ PyBind11 HPC Scientific Computing Open Source