AI Software Developer Intern · CS + Data Science student New York Metropolitan Area
Building agentic systems, machine learning pipelines, and quantitative finance tooling. AI Software Developer Intern at IBM and a dual-degree candidate in Computer Science and Data Science & Statistics at Binghamton University.
- AI & Agentic Systems — LLM pipelines, MCP, RAG, and autonomous code transformation
- Machine Learning — predictive modeling, time-series analysis, and applied research
- Quantitative Finance — options pricing, risk analysis, and ML-driven trading models
- Systems & Security — low-level software, vulnerability assessment, and secure coding
- Agentic porting pipeline @ IBM — automated migration of Python packages to IBM z/OS (s390x), autonomously resolving architecture incompatibilities.
- Options Pricing & Risk Engine — Black-Scholes and Monte Carlo (GBM) pricing with implied volatility and Greeks, validated against live market data.
- ML Options Trading Model — XGBoost pipeline forecasting short-term option price movements, with a backtesting framework for strategy evaluation.
Python · C++ · C · Go · SQL · JavaScript · R
PyTorch · scikit-learn · XGBoost · Pandas · NumPy · SciPy
React · Flask · Django · Node.js · PostgreSQL
Docker · Git · Linux · pytest

