Founding Engineer · MS Computer Engineering, NYU
I'm a founding engineer with an MS in Computer Engineering from NYU, specializing in AI systems, multi-agent architectures, and applied machine learning. I build production-grade AI — from fine-tuning LLMs to deploying autonomous agent systems that handle real-world logistics and data-processing problems.
Away from the keyboard: competitive contract bridge and poker, and an interest in strategy games.
Coursework — Quantum Computing, Machine Learning, Deep Learning, Computer System Architecture, Network Security, Mathematics, Physics, Finance.
Coursework — Advanced Mathematics & Statistics, Advanced Algorithms, Parallel Programming, Formal Language & Automata Theory, Computer Networks.
Multi-agent systems with tool use that autonomously process shipment tracking, monitor carrier portals, and reconcile data across logistics platforms. Fine-tuned open-source LLMs for document parsing.
Hybrid classical–quantum neural network estimating six-year lung-cancer risk from a single low-dose CT scan.
Built and scaled backend archival systems for organizations and individuals with Python, Django, and PostgreSQL.
Built ELMS, an exposure and limit-management engine covering 35M+ customers, and resolved production issues in the core Loan Management System.
Decentralized, end-to-end encrypted Web3 messaging with token-gated communities and in-chat crypto payments.
MCP-compliant Chrome sidebar extension delivering real-time page analysis and contextual AI assistance across tabs.
Hybrid quantum-classical network predicting six-year lung-cancer risk from a single low-dose CT scan.
Three procedurally-generated polycube packing puzzles spanning 2D tiling and 3D lattice modes.
Self-contained RAG assistant over lecture notes to make professors' office hours more productive.
Enterprise exposure and limit management aggregating personal and transaction data for 35M+ customers.
Fine-tuned FinBERT and LLMs feeding a Random Forest to forecast GameStop's price direction.
A paired-contract trade on the 2026 IPL champion.
The market priced the two finalists like a coin flip (0.75 combined) while the base rate for a top-two seed winning sat at 93.3%. A paired RCB + GT position on Kalshi captured the gap — positive expected value, returning ~27.7%.
An Acorns alternative with far more control over risk appetite and investment types.
chromeControl, an MCP-compliant Chrome AI assistant (see Projects).
Squaris, a spatial packing puzzle game.
Attempted the BlueQubit problem of Peaked Circuits.
Financial modelling for max profit — algorithmic and manual trading tracks.
A RAG/LangChain chatbot helping students grasp hard-to-find topics.
Bridge Represented NYU in contract bridge — intercollege tournaments, scrimmages, and the North American Bridge Championships (Philadelphia, 2025).
Poker Represented NYU at the Intercollegiate Poker Association annual tournament, 2025.
Clubs Bridge & Spades, SASE, IEEE, soccer intramurals (5v5, 9v9).