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About
Robotics software engineering intern at Bell Labs who overhauled indoor mobile robot localization in a ROS 2 stack, combining EKF + particle filtering with a neural network to handle BLE multipath disturbances. Delivered a major accuracy gain (~50 cm to sub-20 cm), earned a company Innovation award, published a paper, and saw the approach adopted across the company’s robot fleet.
Experience
Lead Teaching Assistant - Probabilistic RoboticsColumbia University
Robotics Research Intern - Nokia-Bell LabsNokia Bell Labs
Research Assistant - James Anderson Research GroupJames Anderson Research Group
Entrepreneurship and Venture Society - PresidentEntrepreneurship and Venture Society
Education
Columbia Universitymaster, Mechanical Engineering (Robotics and Control) (2025)
Arizona State Universitybachelor, Mechanical Engineering (2024)
Key Strengths
Redesigned indoor robot localization system (IMU/odometry/BLE fusion) in ROS 2
Improved localization error from ~50 cm to consistently sub-20 cm
Developed hybrid EKF + Particle Filter approach with neural network to mitigate BLE multipath disturbances
Deep ROS/ROS2 implementation experience (nodes, topics, performance analysis tooling)
Strong debugging of subtle estimation issues (identified and fixed frame transformation math errors)
Validated changes on real hardware with sanity checks
Innovation award recipient; published paper; algorithm adopted company-wide
Reference Highlights
Strongly Recommended
Technical ability well above typical graduate level
Comparable to a senior engineer despite being a recent graduate
Strong ownership and autonomy on implementation
Understands project objectives quickly
High code quality
Well-organized pull requests
Takes feedback well and applies revisions quickly and correctly
Strong command of Python
Strong understanding of ROS/ROS2 framework
Quickly learns processes and systems
Effective debugging in complex, production-like environments
Good grasp of distributed system architecture
Good command of synchronization/concurrency concepts
Communicates well
Adapts well to changing plans
Produces high-quality deliverables
Strong fit for hardware-software boundary work
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