I’m a Software Engineer at Wellington Management, engineering Model Context Protocol (MCP) data lake systems and generative AI recommendation engines across $1.3T+ in assets. Dual major graduate in Computer Science and Economics from UMass Amherst ('26).
Engineering reliable systems at scale.
Config-driven MCP server across 20+ AWS Athena data lake tables at Wellington Management.
On-demand schema discovery and sqlglot AST validation cutting ad-hoc lookup time by 90%.
Sub-500ms asynchronous trading engine identifying 1%–3% Polymarket & Kalshi price discrepancies.
I focus on the intersection of modern distributed infrastructure, enterprise generative AI protocols, and high-frequency quantitative systems.
Currently, as a Software Engineer at Wellington Management, I build Model Context Protocol (MCP) data architecture in Python, FastMCP, and Starlette. I also engineered an AI recommendation engine that matches institutional client needs to 252 investment strategies ($915B AUM) with cited evidence, cutting research time from hours to under 30 seconds.
In algorithmic trading, I built a Python trading engine utilizing aiohttp for real-time orderbook polling between Polymarket and Kalshi, achieving sub-500ms latency from signal to order.
I graduated in February 2026 from the University of Massachusetts Amherst with a double degree: Bachelor of Science in Computer Science and Bachelor of Arts in Economics. In my free time, I enjoy algorithmic trading, art history, poker, tennis, golf, weightlifting, and drumming.
Projects & Systems
Engineered a Python-based trading engine with aiohttp for asynchronous REST API polling to identify 1%–3% price discrepancies between Polymarket and Kalshi. Concurrent execution logic achieved sub-500ms latency from signal to order, generating a 7% monthly return on capital with an 86% trade success rate.
Engineered a config-driven MCP server in Python, FastMCP, and Starlette over 20+ AWS Athena data lake tables ($1.3T+ AUM). Used on-demand schema discovery and sqlglot AST validation to reduce LLM token overhead by 85% and ad-hoc lookup time by 90%. Built AI recommendation engine for 252 investment strategies ($915B AUM).
Outdoor safety and trail tracking application with offline telemetry caching, hazard reporting, and real-time emergency alert dispatch.
Algorithmic player evaluation and team balancing framework that matches multi-dimensional player scores into balanced rosters for league tournaments.
Algorithmic solver implementing graph search and heuristic pruning to solve scrambled 3x3 Rubik's Cubes in minimal move sequences with step-by-step resolution.
Speech recognition interface connecting microphone input to Spotify Web API commands for hands-free music library control and intent parsing.
Where I've Worked
Software Engineer · Boston, MA
Software Engineer Intern · Boston, MA
Software Engineer Intern · Lowell, MA
Cut customer support response time by 40% and handled 80% of common patient queries by integrating an AI-powered chatbot using Google Dialogflow.
Software Engineer Intern · Holyoke, MA
Software Engineer Intern · Lexington, MA
Quantitative Software Engineer · Amherst, MA
Engineered quantitative screening models, risk management scripts, and automated portfolio valuation pipelines for student-run global equity fund.
Tools & Languages
Let's talk.