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Satya Srinivas Bokka
Entry AI Engineer specializing in LLM agents, RAG, and computer vision
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Robotics/AV-focused candidate who contributed to an F1TENTH autonomous vehicle college project, building key autonomy components from raw sensor data to driving commands. Strong in perception and state estimation (visual odometry, particle-filter localization), plus mapping (occupancy grids) and planning/control (RRT, Gap Follow, PID), with hands-on ROS tooling and simulation validation in Gazebo/RViz and ROS environment containerization using Docker.
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Key Strengths
- End-to-end autonomy stack experience (mapping, perception, planning/control) on F1TENTH
- Perception + state estimation focus using visual odometry and particle-filter localization under sensor noise
- Debugging robotics integration issues via frame/transform verification (resolving pose/path/LiDAR misalignment in RViz)
- Practical ROS development and tooling (RViz, rosbag) with common autonomy algorithms (RRT, Gap Follow, occupancy grid)
- Uses simulation (Gazebo/RViz) to validate behavior before real-world deployment
- Environment reproducibility via containerizing ROS setup with Docker
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