Summary
Kanis Patel is a founder and AI systems builder with 8 years of experience turning complex physical problems into production-ready multimodal intelligence. Trained in computational fluid dynamics and numerical solvers at IIT and the University of Alberta, he migrated from physics-driven simulation into ML at PwC and industry startups, then served as CTO/co-founder at BinoLoop where he engineered end-to-end perception stacks combining computer vision, speech recognition, and LLMs. Now at Founsi he leads the full technical stack to create an ambient “memory layer” for the physical world—automatic inventory and object understanding triggered by a camera. He’s fluent across research and production: from CFD and time-series signal processing to cloud deployment, AutoML, and real-time ML pipelines. Colleagues describe him as a zero-to-one engineer who pairs deep domain knowledge of physical systems with pragmatic product-grade ML engineering.
8 years of coding experience
6 years of employment as a software developer
Master of Applied Sciences Mechanical Engineering, Master of Applied Sciences Mechanical Engineering at University of Alberta
Bachelor of Technology in Mechanical Engineering Mechanical Engineering, Bachelor of Technology in Mechanical Engineering Mechanical Engineering at Indian Institute of Technology (Indian School of Mines), Dhanbad
Senior High School Physics Maths Chemistry, Senior High School Physics Maths Chemistry at Nalanda Academy
English, Hindi, Gujarati, Russian, French, English