Summary
Mubin Tirsaiwala is a Senior Machine Learning Infrastructure Engineer with 5+ years building end-to-end ML systems that prioritize speed, scalability, and operational robustness. He has led data science teams and shipped award-winning products from POC to acquisition at Statlogic, and recently improved recommendation quality and training throughput in production roles by optimizing distributed training and ETL. Comfortable across the stack, he designs database schemas, orchestration pipelines (Airflow, Kafka), model lifecycle tooling (MLFlow/Kubeflow), and deploys services with Docker/Kubernetes on AWS/Azure. His work blends applied research—embedding subspaces for search, vision, speech and recommender systems—with pragmatic engineering to cut inference and training costs. Currently focused on ML infrastructure at Brigit, he’s learning Go, Generative AI, Responsible AI and uncertainty quantification to broaden model reliability and trust. Off the clock he’s an open-source admirer who enjoys hiking, global cuisines and deep tech conversations over coffee or on a hike.
5 years of coding experience
6 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at University at Buffalo
Bachelor of Technology Major in Electrical and Electronics Engineering, Bachelor of Technology Major in Electrical and Electronics Engineering at Shiv Nadar University
Hindi, Gujarati, English, Urdu