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Harsha Kotta
Intern Robotics Researcher specializing in state estimation, SLAM, and sensor fusion
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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.
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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
- 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
Harsha's references speak for themselves. Let us connect you.
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