Passionate about machine learning, data science, business, and entrepreneurship, with expertise spanning software development, time-series forecasting, computer vision, robotics, and technical program management. Over four years of combined experience in industry, research, and academia, specializing in programming, machine learning, robotics, and project management. Proven leader and collaborator with a track record of driving innovation in technology and interdisciplinary fields.
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Machine Learning Engineer InternTeslaSan Jose, Ca, Us -
Student Research Assistant - Nasa UsrcNasa - National Aeronautics And Space Administration Feb 2024 - PresentIthaca, New York, United States• Developing an AI-enabled traffic management system for advanced air mobility, creating multi-agent coordination models for adaptive drone cooperation in shared airspace; sponsored by a NASA USRC grant• Built and evaluated foundational baselines with decision transformer and multi-agent transformer architectures, establishing robust training pipelines for multi-agent environments to benchmark future advanced architectures• Optimized large foundational model training on NVIDIA DGX-H100 GPUs for multi-agent cooperative robotics during the NASA and NVIDIA OpenHackathon; leveraged CrossFormer transformer-based architecture to develop specialized navigation models, providing insights into efficient GPU-based multi-agent training -
Undergraduate ResearcherEmprise Lab Jan 2023 - PresentIthaca, New York, United States• Developed assistive robotics implementations in a full-stack robotics lab dedicated to improving the quality of daily activities for mobility-impaired individuals through collaborating on open source research projects• Adapted and implemented the BodyPressure model for processing multi-modal data to detect and infer real-time human pose estimation despite occlusions for improving informed human-robot interaction• Designed physical and Unity simulated robotics toy environments integrated with static and dynamic collisions for teleoperated data collection and for training heuristic policies of robot arm tactile skin sensor configurations -
Technical Program Management InternApplied Materials May 2024 - Aug 2024Santa Clara, California, United States -
Software EngineerCornell Cup Robotics Oct 2022 - Feb 2024• Developed Autonomous Lab Assistant (C1CO) robot with added features including facial recognition, object detection, and two robotic arms purposed to perform high force operations and small precise movements • Trained and evaluated custom real-time object detection models using Tensorflow and Tensorflow Lite APIs using self-collected and annotated dataset of various lab equipment tools while balancing speed and accuracy • Designed a real-time kmeans image segmentation algorithm from RGB and depth frames, paired with object detection to distinguish between target objects and obstacles, facilitating seamless input for inverse kinematics -
Teaching AssistantCornell Ann S. Bowers College Of Computing And Information Science Jun 2023 - Aug 2023Ithaca, New York, United StatesSoNIC Assistive Robotics Workshop
Marcus Lee Education Details
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Computer Science -
High School/Secondary Diplomas And Certificates
Frequently Asked Questions about Marcus Lee
What company does Marcus Lee work for?
Marcus Lee works for Tesla
What is Marcus Lee's role at the current company?
Marcus Lee's current role is Machine Learning Engineer Intern.
What schools did Marcus Lee attend?
Marcus Lee attended Cornell University, Valley Christian Schools (San Jose), Ucla Summer Sessions.
Who are Marcus Lee's colleagues?
Marcus Lee's colleagues are Michael Clark, Debra Mcneill, Latoyia Tourcess, Buford Cooper, Erika Carlton, Terri Hill Counce, Toby B.
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Marcus Lee
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Marcus Lee
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