Andrew Mao
San Francisco, California, United States
Summary
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SeniorAndrew Mao is a machine learning engineer based in San Francisco with nine years of experience building production-grade ML and distributed systems across industry and academia. He specializes in generative AI and NLP, with a strong track record deploying billion-scale training pipelines, data-quality/search infrastructure, and high-performance model serving using PyTorch DDP/FSDP, FAISS, and vLLM. His background spans fintech quant systems, large-scale backend services, and research publications in QA and human-AI collaboration, enabling him to bridge research and production reliably. At Leidos he built red‑teaming environments and automated attack/defense tooling for LLMs and agents, and at Apple he focuses on GenAI data infrastructure for images and video. He brings hands-on experience with fine-tuning methods (LoRA, DPO), retrieval-augmented systems, agent harnesses, and adaptive attacks—skills that make him equally comfortable optimizing model training and probing model vulnerabilities. Notably, his career combines live trading-critical system engineering with academic NLP research, giving him a rare mix of performance-driven engineering and rigorous evaluation skills.
9 years of coding experience
Github Skills (68)
python8
algorithms8
gpu7
grovepi7
deep-learning7
object-detection7
machine-learning7
neural-network6
matlab6
management6
triangular6
pytorch6
numpy5
ruler5
instance-segmentation5
Programming languages (11)
Github contributions (5)
Maosef/cheaters_quizbowl
May 2020 - Mar 2022
An interface for question answering with a search engine.
Contributions:8 PRs, 32 pushes, 2 branches in 1 year 9 months
question-answeringsearch-engine
Maosef/Maosef.github.io
Jan 2020 - May 2025
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Contributions:6 pushes in 5 years 4 months
blog-siterulerblog-projectjekylljekyll-theme
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