Aditya Jyoti Paul is a founder and technical leader with 10 years of experience building AI-driven products and leading cross-functional programs across startups and enterprise clients. He combines hands-on research (20+ publications and a track record in CV/NLP/ML) with program-level delivery—driving measurable business impact such as a 30% lift in email performance and deploying computer-vision warehouse solutions for a multi-billion-dollar client. As Head of Research at Cognitive Applications Research Lab he trained and mentored research interns to publish their first papers, and he was among the first 50 global facilitators in Google’s Explore ML pilot, reaching 1,000+ students and faculty. His roles span hands-on engineering, product ownership, data pipelines, and technical assessment, making him effective at translating research into production. He also contributes to open-source mentoring (Google Code-in/TensorFlow) and has experience building conversational apps for Google Assistant, reflecting a knack for practical, user-facing AI. Based in Karnataka, India, he blends entrepreneurial energy with academic rigor and a strong focus on people development.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at SRM University
Facebook Scholar for Secure and Private AI, Federated Learning and Advanced ML Scholarship in 2019 and Hybrid Cloud Scholarship in 2020., Facebook Scholar for Secure and Private AI, Federated Learning and Advanced ML Scholarship in 2019 and Hybrid Cloud Scholarship in 2020. at Udacity
This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please :star2: the repo if you like it :point_up: Create an Issue or preferably a PR for any improvement. :rocket:
Contributions:56 commits, 56 pushes, 1 branch in 1 month
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