Based in San Francisco

Engineer building
things that scale.

AI and software engineer with a track record of going from zero to one at startups and turning hard technical problems into shipped products.

Nash · A16z + YC
Founding Software Engineer

I joined Nash as one of the first engineers and spent four years building its delivery orchestration platform from scratch. The core challenge was making it simple for thousands of businesses to coordinate across a fragmented landscape of third-party couriers and internal fleets — so I designed systems for automated provider selection, real-time tracking, and flexible workflow customization. Along the way I built 12 API integrations, onboarded enterprise customers like URBN and Walmart, and created a custom GPT that let a team of three integration engineers do the work of a much larger org. Products I shipped — including the Nash Shopify App and Nash Returns — grew to hundreds of customers.

Platform Engineering Python APIs GPT Shopify
Primer AI
AI Product Engineer → Senior AI Product Engineer

My first role out of school put me on the multilingual NLP frontier. As tech lead for the languages team, I led the effort to expand Primer's intelligence platform beyond English — adding Arabic, Spanish, Mandarin, and Portuguese support across 10+ microservices. That meant implementing plenty of ML features from scratch (NER, summarization, people resolution, and more for Arabic), and back-filling over 10 million historical documents into the new pipeline.

NLP Multilingual ML Python Microservices
General Motors Autonomous
Software Engineer Intern

Worked on the perception stack for autonomous vehicles, using radar data to improve simultaneous localization and mapping (SLAM) — helping the car build a more accurate, real-time model of its surroundings.

SLAM Radar Autonomous Vehicles C++
Goldman Sachs
Software Engineer Intern

Worked on performance optimization for internal pricing models, improving the speed and efficiency of financial computations used across trading workflows.

Performance Engineering Java Finance
Full Stack Developer

Built full-stack web infrastructure for a person-tracking system that used WiFi signals — translating research-stage technology into a functional, demo-ready product.

Full Stack WiFi Sensing JavaScript Python
Massachusetts Institute of Technology
M.Eng. Computer Science (AI) · B.S. Computer Science & Economics

Graduated with a 4.8/5.0 GPA. Studied everything from performance engineering and cryptocurrencies to NLP and financial markets. Executive chair of Tau Beta Pi, member of Eta Kappa Nu, co-directed MIT Arab SciTech conference, and winner of the 6.172 Leiserchess Performance Engineering Competition. Completed the Gordon-MIT Engineering Leadership Program.

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