Machine Learning Engineer - Autodesk

Boston, MA, US, Oct 2024 - Present

Autodesk Research: Generative AI and 3D Computer Vision

Deep Learning Research Co-op - The Jackson Laboratory

Boston, MA, US, Jul 2023 – Dec 2023

Researched and applied Explainable AI methods for Graph Neural Networks.

Technologies used: PyTorch Geometric, PyTorch Captum

Machine Learning Engineer - Vehant Technologies

Delhi, India, Jun 2019 – Aug 2022

Intelligent Video Analytics for Smart City: 2D/3D computer vision, object detection, tracking, reidentification, license plate recognition (ANPR OCR), action recognition, pose estimation, depth estimation.

MLOps: Distributed Training, Deployment, ETL, and Optimization of multi-GPU end-to-end ML pipelines (PyTorch, TensorFlow, Nvidia TensorRT, CUDA, DeepStream, MLFlow, ONNX, AWS SageMaker).

Accelerated Data Science: Low precision, Quantization, Pruning, Nvidia RAPIDS.

Mentoring: 2 fellow teammates Edge AI topics.

Computer Vision R&D Intern (continued)

Jun 2019 - Jul 2020

Researched on deep-learning-based monocular depth estimation methods for under-vehicle object detection.

Technologies used: PyTorch, TensorFlow, NVIDIA DeepStream, OpenCV, MLOps

NLP Intern - Arbunize Digital Pvt. Ltd.

Delhi, India, Jun 2018 - Aug 2018

Applied Natural Language Processing algorithms on resumes for automatic information extraction and processing.

Technologies used: Python, NLTK, Keras, scikit-learn