Alex Li

San Francisco Bay Area  •  me@alexli.ca  •  +1 (650) 709-5727

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 Google 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.