Machine Learning Engineer
ML Engineer with 3+ years of experience building deep learning systems across computer vision, NLP, and Generative AI. Specialized in training and optimizing large-scale neural networks, low-precision inference, and end-to-end MLOps pipelines. Currently at Autodesk Research working on LLM-powered and 3D computer vision applications. Previously led CV and deep learning work at Vehant Technologies for smart city surveillance, and applied explainable AI to Graph Neural Networks at The Jackson Laboratory.
Experience
Autodesk Research: Generative AI and 3D Computer Vision.
Researched and applied Explainable AI methods for Graph Neural Networks.
Intelligent Video Analytics for Smart City: object detection, tracking, reidentification, ANPR OCR, action recognition, pose & depth estimation. MLOps: distributed training and optimization of multi-GPU pipelines.
Computer Vision R&D Intern · Jun 2019 – Jul 2020
Researched deep-learning-based monocular depth estimation for under-vehicle object detection.
Applied NLP algorithms on resumes for automatic information extraction and processing.
Education
Graduate Teaching Assistant for Data Mining, Data Science, and Programming with Python.
Projects
Check the complete list on the PROJECTS page.