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 (56)
computer-vision9
opencv8
deep-learning8
machine-learning8
image-processing8
visualization7
python7
jupyter-notebook7
python-bindings6
phpstorm6
keras6
nodejs6
bash6
json6
algorithm6
Programming languages (8)
Github contributions (5)
riaz/GenerativeMusic
Aug 2023 - Dec 2025
This repository is to explore the realms of Generative Music
Contributions:2 PRs, 13 pushes, 2 branches in 2 years 5 months
riaz/Zen-Text-Editor
Oct 2014 - Nov 2015
Contributions:23 commits, 5 pushes in 1 year
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