Shashank Vasisht is a Data Scientist-II with a decade of experience applying deep learning and computer vision across ADAS, retail, medical imaging, and generative AI. He has delivered production-ready systems—from real-time monocular 3D object detection and 60+ FPS pedestrian detection for automotive platforms to anomaly segmentation in wireless capsule endoscopy and background/transparent-window removal for e-commerce images. At Fynd he shipped award-winning consumer-facing tools (watermarkremover.io) and advanced image restoration and virtual try-on features, demonstrating a knack for turning research into polished products. Skilled across object detection, semantic segmentation, tracking, image generation, and classical CV, he balances state-of-the-art research with engineering constraints on edge and GPU hardware. Based in Delhi, he combines hands-on model development with large-scale data pipeline experience and GT strategy for annotated datasets. An under-the-radar strength is his ability to adapt generative techniques to practical tasks like car-window color recovery and realistic virtual try-on.
10 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Electronics and Communications Engineering, Bachelor of Technology - BTech Electronics and Communications Engineering at Bharati Vidyapeeth's College of Engineering
A CNN model to classify different plant diseases. Vgg16 net is fine tuned to the kaggle dataset.
Contributions:3 commits, 1 PR, 2 pushes in 4 years 2 months
kaggletunedimage-classificationtensorflowvgg16
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