Mohammed Anees is a Senior AI Engineer with 12 years of experience building and scaling production ML systems across startups and large enterprises. He has led ML platform initiatives—founding Careem’s Yoda platform that served millions of daily predictions and hosted thousands of models—and recently drove low-latency, LLM-powered typeahead infrastructure at Expedia that cut p99 latency 5x and improved availability to five 9s. His expertise spans MLOps, large-scale applied ML, and real-time ranking systems using Ray, Flyte, PyTorch, Java, and feature stores like Feast. Now building AI agents to improve workplace performance at Perceptyx, he combines platform-level thinking with hands-on model engineering and optimization. Based in Toronto, he also develops ML products like QuestMD.ai and maintains an active GitHub presence focused on ML platform tooling. Colleagues rely on him for turning experimental models into reliable, highly available services that scale.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (BTech) Computer Science, Bachelor of Technology (BTech) Computer Science at International Institute of Information Technology Hyderabad (IIITH)
High School - The Millennium School Dubai, High School - The Millennium School Dubai at GEMS Education
A cloud-agnostic ML Platform that will enable Data Scientists to run multiple experiments, perform hyper parameter optimization, evaluate results and serve models (batch/realtime) while still maintaining a uniform development UX across cloud environments
Contributions:12 releases, 10 reviews, 70 commits in 8 months
Contributions:2 PRs, 19 pushes, 1 branch in 1 year 1 month
reactfindingfull-stackfood-trucksdocker
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