Rumit Pathare — Software Engineer

I build real-world AI systems that solve industrial problems. I’m a Machine Learning Engineer working at the intersection of Computer Vision, Reinforcement Learning, and production-grade ML architecture for manufacturing and engineering use cases. At WonderBiz (Schneider Electric client projects), I’ve architected reusable AutoML platforms, CNN-based vision systems for interpreting engineering diagrams, and a reinforcement learning simulator that became the foundation of an international AI patent for water optimisation filed across 6 countries. What makes my work different is my background. Before ML, I worked in production engineering, managed shop-floor operations, and even worked as a 3D visualisation artist. This gives me a systems-level understanding of how real processes, visuals, and constraints work — which directly translates into how I design ML solutions today. Key highlights: • Built AutoML infrastructure reused across 3 enterprise POCs that converted into paid projects • Designed a U-Net + MobileNetV2 system achieving 93% accuracy for industrial diagram segmentation • Engineered an OpenAI Gym RL simulator for water optimisation (International patent co-inventor) • Mentor to engineers and contributor to open-source CV and OCR projects I’m particularly interested in CNN research, computer vision, and reinforcement learning applied to real-world systems.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Computer Vision and Reinforcement Learning for manufacturing solutions.

Location: Mumbai, India

Experience: 4 yrs 11 mos