Alex Chang
Machine Learning Engineer at Meta
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Chang is a Machine Learning Engineer with nine years of experience building production-grade NLP and RAG systems, currently advancing ML at Meta after recent roles at TikTok and Georgian. He blends deep research roots from a University of Toronto MSc and Vector Institute work with hands-on production skills—containerized training/inference, Airflow/Kubernetes orchestration, and CI/CD pipelines. At TikTok he optimized retrieval, generation, and latency to approach GPT-4–level performance using techniques like hybrid retrievers, structured chain-of-thought, Mistral-7B SFT, quantization, and LLM reranking. His background in healthcare and biomedical ML (pediatric MRI anomaly detection, RNA-seq and proteomics) gives him an unusual strength for applying foundation-model techniques to scientific and clinical domains. Known for pragmatic evaluation loops—automated issue classification, hallucination detection, and fact-scoring—he frequently closes the loop from research to robust production. Based in San Francisco, he focuses on scaling trustworthy, latency-sensitive ML systems that bridge research and real-world impact.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MSc Computer Science, Master of Science - MSc Computer Science at University of Toronto
English, French, ChineseProgramming languages (1)
Github contributions (5)
LeChangAlex/mri_gan_cancer
Sep 2019 - Jan 2020
Contributions:115 commits, 139 pushes, 1 branch in 4 months
LeChangAlex/wbmri
Sep 2020 - Sep 2021
Contributions:33 pushes, 1 branch in 1 year
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