I'm a founding engineer building AI systems for governments and Fortune 500 enterprises. I specialize in machine learning surrogate models, distributed systems, and high-performance computing applications across aerospace, semiconductor, and automotive industries.
Currently at UniversalAGI where I'm building AI agents for government officials and training ML models for race cars. Before this, I worked at Palantir on AI Platform Research and AWS on Message Gateway Service.
I'm an entrepreneur at heart. I've founded multiple startups including Hash Automation (crypto automation with $220k+ volume and $60k+ revenue) and Farm Communications (B2B VPN service with $80k revenue) and have built systems serving thousands of users.
I graduated from the University of Maryland with a B.S. in Computer Science & Statistics, and previously conducted research at Johns Hopkins on wearable sensor systems.
Outside of work, you can find me exploring San Francisco's coffee scene, working on side projects, or diving deep into distributed systems and optimization problems.
Past life
Founding Engineer,UniversalAGI
March 2025 - Present
AI for Governments and Fortune 500 Enterprises. Led a team of 4 engineers to build a metadata-enrichment AI Agent for the Crown Prince of Abu Dhabi and other high-ranking officials. Trained & Fine-Tuned ML Surrogate models for aerodynamics inference & semiconductor heat simulations for Tesla, McLaren, Volvo, LAM Research & more. Directly onboarded/mentored 2 engineers and helped grow the company from 3 to 15 employees.
Engineering Fellow,Palantir Technologies
December 2024 - February 2025
AI Platform Research. Researched replacement algorithms like Round-Robin & LRU for low-latency caches on Palantir's AI Platform.
Software Engineering Intern,Amazon Web Services
May 2024 - August 2024
AWS Message Gateway Service (Websocket Connections). Introduced a consistent hashing procedure in Python to balance daily processing of 10+ terabytes of data, reducing host outage effects by 90%. Implemented a paid feature emitting 30,000+ metrics daily to enterprise customers to track network throughput. Built a native version control system from scratch, managing over 20,000 files for over 50 external AWS teams.
Software Engineering Intern,Michelin
May 2023 - August 2023
Enterprise Database Systems. Placed 1st out of 107 teams in a hackathon, utilizing Python & PostgreSQL to model data for stakeholders. Utilized JavaScript & Redis to build a full-stack app for 1000s of drivers to send live tire-replacement requests. Contributed to an AI search on Michelin's Data Lake by optimizing data transformation for Elasticsearch schema in Java, improving the ETL speed by 8% with 2 ML engineers, used by 100+ employees daily.
Software Engineering Intern,Sellerchain Inc.
June 2022 - August 2022
Cloud and Cost Optimization. Led development on a backend Amazon shipment optimization app, gaining 140% clients in 3 months. Reduced costs by $400+/mo by transitioning a deprecated PostgreSQL database from local to AWS RDS. Achieved 3x improvement in a shipment algorithm using Java & Caching for optimal warehouse routing.
Founder,Hash Automation
August 2021 - June 2023
Crypto Transaction Validation. Built a bot with $220,000+ in volume, using distributed proxy servers & Python for real-time token data. Managed 140+ users with 0 security issues in 8 months. $60,000+ Revenue, 50+ Users, Sole Developer.
Founder,Farm Communications (Proxyfarm)
January 2021 - August 2022
B2B VPNs. Founded and developed a startup offering a scalable and high-performance proxy service for web scraping, SEO tools, and secure browsing (10,000+ IPs, serving 100+ users monthly). $80,000 revenue, 25+ Peak Monthly Clients, Sole Developer.
Research Assistant,Johns Hopkins Whiting School of Engineering
November 2020 - January 2021
Sensor Research under Dr. Ethan Nyberg. Modeled systems using engineering principles to solve biological, physiological, and medical design problems. Developed a prototype for a wearable device that monitors vital signs and alerts healthcare providers of any anomalies.