Summary
Shubham Bindal is a Senior Machine Learning Engineer with 8 years of hands-on experience building computer vision and deep learning systems for product-scale applications, currently at Apollo.io after leading CV efforts at Mercer Mettl. He has improved real-world models via active learning, domain-shift mitigation, and data-cleaning pipelines—boosting recall from 54% to 96% in a retail detection task and raising fashion-tag recall by 14% for a client at ViSenze. His background blends research (visual explanations for CNNs) with productionizing models (Detectron2, Faster/Mask/Cascade R-CNN, YOLO) and practical image-processing techniques like morphological operations and grabcut. An Omdena alum, he has led collaborative AI4Good subtasks—such as sustainable-product classification for recycling—demonstrating both leadership in distributed teams and a taste for socially impactful projects. Trained at IIIT Vadodara, he pairs solid academic foundations with a track record of turning research ideas into measurable product improvements.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Indian Institute of Information Technology Vadodara