Summary
Isaac Patole is a Machine Learning Researcher with eight years of experience building production-ready AI systems across computer vision, deep learning, and LLM-driven products. He has moved from hands-on R&D—developing video analytics with detection, tracking, and streaming—to architecting multi-agent and LLM solutions at Quantiphi and now driving ML research at Arkose Labs. Isaac combines prototype-driven freelancing experience with product-focused engineering, routinely taking ideas from requirement gathering through execution and optimization. Based in India, he pairs formal computer science training and a Deep Learning Specialization with a track record of shipping applied models for fraud, recommendation, and media analytics. Notably, his background spans both lightweight startup experimentation and enterprise-grade ML architecture, making him adept at bridging research and production constraints.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Fergusson College
Deep Learning Specialization, Deep Learning, Deep Learning Specialization, Deep Learning at Coursera
English, Hindi, Marathi