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Siddhartha Geddam
Junior Robotics/ML Engineer specializing in autonomous UAVs and perception
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Machine learning robotics engineer with internship experience deploying object detection and semantic segmentation models to an autonomous vehicle fleet operating in airports and naval docking stations, optimizing with ONNX/TensorRT for NVIDIA Jetson edge deployment. Also built ROS/ROS2-based decentralized multi-drone coordination (TF trees, shared telemetry) validated in Gazebo and networked via Nimbro with sub-10ms latency messaging.
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Key Strengths
- End-to-end ML model pipeline for robotics (train, optimize, deploy) on edge hardware
- Cross-functional robotics integration across hardware/firmware/software (Jetson + PLC controllers)
- Performance optimization for deployment using ONNX and TensorRT
- ROS-based decentralized multi-drone coordination using TF trees and shared telemetry nodes
- Simulation-driven validation in Gazebo prior to real-world deployment
- Distributed robot communication setup with low-latency pub/sub messaging via Nimbro network
- MLOps-style workflow using Docker/Kubernetes, Jira, GitHub, and CI/CD for continuous model improvement
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Experience
Education
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Publications
1 publication
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