Deep Wilson is a Senior Developer and machine learning engineer with 8 years of experience building and deploying computer vision and NLP systems across startups, research labs, and enterprise teams. He has driven measurable improvements in object detection and facial recognition at Siemens and Orbo.ai, and routinely ports fine-tuned CNN, 3D vision and transformer models to edge and embedded devices using C++/CUDA and Python. His work spans stereo vision, camera calibration, satellite imagery, broadcast media, and environmental compliance, and he has reinvented CV fundamentals during an MSc at the University of Surrey—developing a sketch-conditioned DETR for image analysis. Comfortable moving between low-level algorithmics and high-level model tuning (LoRA, instruction fine-tuning, metric learning), he combines hands-on implementation with strong cross-team communication and a track record of shipping production-ready systems.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at University of Mumbai
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Surrey
My personal blog detailing my experiences with Machine Learning and Computer Vision. This was created using fastpages and based on Oriol Abril Pla's Jekyll Massively integration.
Contributions:1 PR, 72 pushes, 2 branches in 3 days
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