Arshad Kazi is a Data Scientist based in Mumbai with nine years of industry experience and over five years focused on computer vision and machine learning. He has designed and shipped end-to-end vision systems in fast-paced startup and product environments, including a 3D human pose recognition pipeline for baseball swing analysis and a deployed spam video filtering service. Comfortable across the ML stack, he builds models (transformer-based temporal-spatial architectures), productionizes them with Docker, FastAPI and AWS, and collaborates closely with engineering and stakeholder teams to align performance with product needs. His background spans classical and Bayesian methods to deep learning, with hands-on expertise in PyTorch, Python, SQL and R. Notably, he combines research-grade model design with pragmatic deployment skills, rapidly iterating models into scalable services.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Ramrao Adik Institute of Technology
Contributions:43 pushes, 1 branch in 4 years 11 months
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