Summary
Chirag Shetty is an SDE-2 and Machine Learning Engineer with six years of hands-on experience building and deploying production-grade computer vision and generative AI systems. He has delivered high-throughput, hardware-optimized real-time inference (e.g., 225 FPS YOLO pipelines on T4 and edge deployments on Jetson) as well as scalable cloud-hosted generative image services for e-commerce and fashion. His work spans the full ML lifecycle—from training and TensorRT optimization to building reliable, accessible APIs and agentic design workflows—bridging research rigor with product delivery. Based in Mumbai, he combines C++ and Python expertise with practical ML ops instincts, and has a track record of shipping solutions used by Fortune 500 retailers and city-scale traffic enforcement projects. Notably, he moved early into integrating diffusion models and LLMs for automated fashion design and trend forecasting, demonstrating a knack for applying cutting-edge models to real business problems.
6 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Mechanical Engineering, 8.33/10, Bachelor of Technology, Mechanical Engineering, 8.33/10 at Vellore Institute of Technology