Skills
- Full-stack software engineer and tech lead, passionate about applied AI for delivering great products
- AI-native product engineering: building and shipping LLM-powered systems (agents, retrieval, eval pipelines, feedback loops) with focus on latency, quality, and production integration
- Languages: C++, Python, JavaScript, HTML/CSS, SQL, Java, Go
- Frameworks/Tools: React, Django, GPT/Claude, OpenClaw, Vercel
Experience
| Software Engineer | Meta | 2019 – Present |
- Applied AI (Burlingame, CA)
- Improving frontier models in collaboration with Meta Superintelligence Labs in this early-stage org
- Reality Labs, AI Knowledge (Burlingame, CA)
- Built and productionized low-latency, multimodal retrieval systems (embeddings, semantic, OCR) powering real-time multimodal AI experiences such as landmark/storefront recognition across Meta’s ecosystem
- Led 0→1 development of a text→image retrieval system (ingestion, indexing, ranking, serving), now powering inline images in LLM-based AI responses across Ray-Ban Meta and Meta AI
- Improved retrieval precision/recall from ~30% to ~90% via human+AI evaluation loops and model tuning; reduced latency from seconds to hundreds of ms through parallelization and early stopping
- Instagram Growth Acquisition (Menlo Park, CA)
- Tech lead for multiple 0→1 growth products (web embeds, QR Codes (nametag), profile/link sharing)
- Owned product/technical direction across teams of 3–5 engineers; executed end-to-end to drive +15M MAU annually
| Software Engineering Intern | Airbnb | Summer 2018 |
- Trust and Safety: User Knowledge (San Francisco, CA)
- Labeled news data with NLP to save thousands of hours of manual ops work on background checks
| Software Engineering Intern | Summer 2016, 2017 |
- Data Infrastructure and Analysis (Mountain View, CA)
- Developed automation tools for Evenflow, the distributed system for AdWords log aggregation
- DoubleClick Bid Manager (New York, NY)
- Used millions of Google Maps business chains to grow ad campaign geotargeting coverage by 500%
Education
| University of Toronto | 2015 – 2019 |
- Honors B.Sc., with high distinction (GPA: 3.87)
- Double majors in computer science and statistics; with a specialist focus in AI
Miscellany
- I have a competitive programming background: USACO (Gold Division), Canadian Computing Olympiad (Bronze Medalist), ACM ICPC
- Problem setter for Meta Hacker Cup since 2020, and previously for Google Code Jam
Updated Apr 20, 2026.
