Himank Goel is a Machine Learning Engineer II with nine years of experience building production vision systems, currently based in Surrey, BC and pursuing advanced visual computing studies at Simon Fraser University. He has a strong track record designing and deploying industrial-grade ML pipelines—ranging from a patented damage-detection system and 99%+ truck recognition in production to real-time instance segmentation that cut inference time by ~70%. Himank blends research experience in 3D/4D facial and point-cloud analysis with practical software engineering, having implemented end-to-end architectures, cloud-hosted ML services, and payment/notification systems. He is comfortable across the stack: model development, custom imaging algorithms (autoexposure), stitching multi-modal data for accurate PSD calculations, and production deployment. His work shows a pattern of combining novel model architectures (e.g., MaskRCNN, DAMO-YOLO, LightGlue, visual transformers) to solve domain-specific problems effectively. Known for turning research ideas into scalable products, he brings both academic rigor and hands-on delivery to applied computer vision projects.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Information Technology, Bachelor of Technology, Information Technology at Indian Institute Of Information Technology Allahabad
Senior Secondary Education, Science, Senior Secondary Education, Science at O.P. Jindal Modern School
Professional Master of Science in Computer Science, Visual Computing, Professional Master of Science in Computer Science, Visual Computing at Simon Fraser University
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