An enthusiastic software engineer working with the Robotics Research team at Autodesk. I completed my Masters in Robotics at Carnegie Mellon University. I'm skilled in Software Engineering & Architecture, Machine Learning, Deep learning, Computer Vision, NLP, Python, C++, Shell Scripting and OS concepts.

2024 — NowAutodeskSoftware Engineer (ML + Robotics)

2024 — Now

San Francisco Bay Area

Building robotics software and perception for autonomous assembly and other manufacturing applications.

2023 — 2024Path RoboticsComputer Vision Engineer

2023 — 2024

Columbus, Ohio Metropolitan Area

Improved the pose estimation models that enable seamless bin picking, and explored SOTA zero-shot pose-estimation methods to enable the picking of an unseen part.

Built Bayesian Neural Networks to allow probabilistic predictions that can give a sense of the confidence of the neural network output, thus enabling the robot to pick the part with the most confident pose prediction, and improving bin picking success rate.

Explored different grasping algorithms.

2022 — 2022Carnegie Mellon UniversityTeaching Assistant

2022 — 2022

Pittsburgh, Pennsylvania, United States

Teaching Assistant for Visual Learning and Recognition (16-824) in Fall 2022.

2022 — 2022Path RoboticsComputer Vision Intern

2022 — 2022

Columbus, Ohio, United States

Built an end-to-end learning based unified calibration pipeline using a differentiable robot model and minimized calibration errors in the robot cell.

2021 — 2021Minus ZeroResearch Engineer - Perception

2021 — 2021

Founding engineer at Minus Zero, helped build the camera-based perception stack to perform object detection, tracking and vehicle velocity detection.

Education

Carnegie Mellon University

Master of Science - MS

PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH

Experience+

Education

Master of Science - MS

Bachelor’s Degree