Summary
Ali Jahani is a Senior Software Engineer specializing in ML infrastructure and computer vision with nine years of experience building production-grade inference platforms and optimizing GPU performance for generative AI. He has led end-to-end ML lifecycles—from data collection and semi-supervised training to deployment, monitoring, and privacy-aware pipelines—at robotics and autonomy companies and co-founded an agentic RAG startup for legal research. At Avidbots he shipped the company’s first production ML model and achieved up to 90% inference speedups via pruning and quantization, and he now focuses on scaling genAI inference at Autodesk. Comfortable in both research and product contexts, he blends academic rigor from an MS in Computer Science with hands-on MLOps, ROS, and simulation experience. A practical tinkerer, he has built data lakes, auto-annotation and active-learning tooling, and a 3D simulator for synthetic dataset collection, showing a consistent knack for turning prototypes into reliable systems.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Alberta
B.Sc. in Electrical Engineering Control Systems, B.Sc. in Electrical Engineering Control Systems at University of Tehran