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Master of Science in Robotics

University of Minnesota

• Implemented traditional and deep learning computer vision methods such as, camera pose estimation, multi-view camera calibration, bundle adjustment, stereo vision, key-point detection, segmentation, and more.
• Acquired hands-on experience in applying common robotics algorithms such as SLAM, wall detection, visual servoing, forward kinematics, inverse kinematics, quaternions, etc.

Bachelor of Science in Computer Science

University of Minnesota

• Acquired a solid understanding of essential data structures like arrays, linked lists, stacks, queues, trees, and graphs.
• Manipulated and searched the aformentioned datastructures with algorithms such as sorting algorithms, search algorithms, greedy algorithms, etc.

Research Engineer

Samsung AI Center NYC

• Worked on both integrating computer vision algorithms onto real robots/devices as well as developing novel contributions to the field of computer vision.
• Worked on projects such as
  • Fine-grained Control for Pose Conditioned Image Generation
  • 6D Object Pose Estimation for Robotic Grasping
  • Generalizable 3D Scene Reconstruction
  • Tracking/Following Humans with Mobile Robots
  • LiDAR from Mobile Robot to Floorplan Generation

Research Intern

Samsung AI Center NYC

• Worked on implementing real-time practical computer vision algorithms for a physical robot arm grasping challenge.
  • Focused in estimating 3D locations of glass objects for grasping.
  • Retraining a 6D pose/shape estimation network on in-house data.
• Created a realistic synthetic dataset using PyBullet and PyRender distributed across multiple computers/gpus using Ray.

Research Assistant

University of Minnesota

• Worked under Professor Hyun Soo Park in collaboration with Toyota Research Institute to better understand driver attention.
  • Collected a large multi-camera dataset of real drivers on real roads.
  • Learned about camera calibration as well as synchronization.
  • Implemented a self-supervised learning approach to estimate both driver gaze and road scene saliency.
  • Published paper in European Conference for Computer Vision 2022 and publicly released dataset.

Software Engineer

Cirrus Aircraft

• Developed strong coding/communication skills while learning about software requirements for aircraft avionics components.

Software Intern

Cirrus Aircraft

• Worked on developing algorithms for experimental sensors on the SF50 Jet.

• Selected to present in front of 200 people for Oral Presentation ECCV 2022

• Dean's List at University of Minnesota