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Jayanti Lahoti
Junior Software Engineer specializing in full-stack systems, ML, and robotics perception
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About
Robotics software engineer with autonomous driving lab experience at UCSD, building and optimizing ROS2 perception and control pipelines (camera-based real-time object detection) with a strong focus on low-latency performance and robust message interfaces. Also brings production deployment experience from Hewlett Packard Enterprise, using Docker and Kubernetes for containerized environments and deployment pipelines.
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Key Strengths
- Built end-to-end ROS perception node integrating camera input, real-time detection inference, and structured outputs for downstream modules
- Low-latency optimization for real-time inference (minimized frame copies, efficient cv_bridge usage, lightweight preprocessing, disabled batching, GPU execution)
- Systematic pipeline profiling and bottleneck isolation using rosbag/logging across capture, preprocessing, inference, and publishing
- ROS interface/message design for distributed multi-machine systems with QoS tuning and timestamp/TF frame synchronization
- Experience deploying/containerizing software with Docker and Kubernetes (HPE)
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Experience
Education
Awards
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Publications
3 publications
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