Computer Vision and ML Researcher

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Description

Computer Vision FastAPI Django OpenCV scikit-learn Pandas Kubernetes TensorRT Argo MLOps DeepStream Machine Learning Numpy NLTK HuggingFace Python OpenVino ONNX PyTorch Lightning Docker Image Processing Deep Learning DL Streamer SQL MongoDB Seldon PyTorch Triton Server ML Server

My primary focus is on production ML and applied research, with a special interest in computer vision and video analytics. Currently, I am part of the video analytics team at Jio Artificial Intelligence Center of Excellence. Previously, I have worked as a Machine Learning Research Assistant at skit.ai, where I developed text-to-speech systems, and before that as a Machine Learning Intern at Hike Messenger, where I worked on generation of 3D avatars of human head in real-time. Additionally, I have interned at three other startups, where I trained deep learning models for quick PoCs and put some into production. I was a Google Summer of Code student, where I worked on creating an open-source version of AWS’ Rekognition system and continued to mentor the project for the next two years. I also served as an Open Source Fellow with Major League Hacking, where I contributed to Facebook’s Pysa library. I have had the honor of winning several hackathons, including the Smart India Hackathon, where I led a team in building solutions for the Government of Goa. Looking forward to working on cool and challenging problems in ML (preferably on the generative side but open to others). I would love to work on things end-to-end, including model training, deployment, and ML infra/mlops.