Riaz Munshi
Sr Machine Learning Engineer at Apple
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRiaz Munshi is a senior machine learning engineer in San Francisco with 14 years building web-scale applications and production ML systems across Apple, Roku, Yahoo, and other tech teams. He specializes in multilingual NLU, knowledge-graph-backed RAG systems, robust ASR-tolerant pipelines, and scalable model training workflows that prioritize interpretability and data-efficient sampling. At Roku and Yahoo he led services that combine LLMs, graph queries, and active sampling to reduce hallucination and handle code-switching in real user data. Riaz blends deep research experience (MS in CS) and applied engineering—shipping tools for billion-item knowledge graphs and end-to-end feature engineering platforms—while valuing empathy, creativity, and thoughtful problem solving. Quietly motivated by "Stay Hungry. Stay Foolish," he often focuses on tooling and tooling ergonomics that make complex ML accessible and debuggable for product teams.
14 years of coding experience
6 years of employment as a software developer
Jawaharlal Nehru Technological University HyderabadMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at University at BuffaloSecondary Education EnglishScienceMathematics, Secondary Education EnglishScienceMathematics at St.Martin's High School
English, Hindi, Bengali
Stackoverflow
317reputation
39kreached
13answers
10questions
Github Skills (73)
image-processing7
bash6
computer-vision6
python6
javascript6
jupyter-notebook6
json6
algorithm6
svn6
phpstorm6
nodejs6
dgl5
python-bindings5
keras5
machine-learning5
Programming languages (9)
Github contributions (5)
riaz/CloudJudge
Jun 2013 - Jan 2014
Contributions:25 commits in 6 months
riaz/rust-learn
Aug 2019 - Nov 2023
Contributions:3 pushes, 1 branch in 4 years 4 months
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