Vetted Reinforcement Learning Professionals

“Founding Robotics Research Engineer at Streamline Robotics building precision-agriculture automation: integrated FANUC + PLC harvesting with a Farm-ng Amiga (Jetson) platform using ROS2 Visual SLAM for GPS-free greenhouse navigation. Developed real-time YOLOv8 tomato detection/ripeness estimation for selective harvest and configured Cognex D900 3D inspection, plus redesigned FarmBot Genesis XL and built an automated imaging/labeling pipeline for growth tracking and adaptive watering.”

“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.”

Meghana Chowdary Borra

Screened

Junior Machine Learning Engineer specializing in predictive modeling and GenAI RAG systems

Buffalo, New York2y exp

“LLM engineer who built and deployed an emotionally intelligent AAC communication system using an emotion-aware RAG pipeline (Empathetic Dialogues + GoEmotions) and a PEFT-adapted model. Experienced with LangChain/LangGraph and custom Python orchestration, focusing on reliability (guards, schema validation, fallbacks), latency optimization, and rigorous evaluation (automatic metrics + human-in-the-loop), with a reported 18% user satisfaction improvement.”

Prithvi Jai Ramesh

Screened

Junior Robotics Engineer specializing in AI, perception, and autonomous navigation

Tempe, AZ1y exp

“Robotics software engineer with 2+ years of ROS/ROS2 experience who built a mobile robot stack from scratch (Fusion 360 → URDF → ROS) and integrated teleop, SLAM, and navigation. Worked in an ASU lab applying deep learning for person tracking on a TurtleBot setup, and solved real deployment issues like Raspberry Pi video-stream latency via compression and on-board processing. Also reports experience with CI/CD tooling (Jenkins) and Kubernetes.”

Shiyan Tang

Screened

Mid-level Software Developer specializing in indie game development and full-stack apps

San Jose, CA3y exp

“Robotics software engineer who built the perception-to-planning pipeline for an autonomous bipedal robot: synchronized and fused 3D LiDAR + multiple depth cameras in ROS1 (tf2/message_filters) to produce combined point clouds and 2.5D maps, then implemented and benchmarked A*/D*/RRT plus hybrid A* footstep planning in simulation. Also founded a software company and personally owned CI/CD, security checks (CodeQL), and release automation (custom release bot + Slack notifications).”

“Built and shipped a personal LLM-powered news aggregation platform (Clear Brief) that scrapes ~200 articles per cycle, clusters them into ~15–30 consolidated stories, and supports on-demand deep dives via a Next.js API route. Emphasizes production-minded reliability (token/cost controls, timeouts, graceful frontend degradation) and database-backed orchestration using SQLite with retry + exponential backoff for burst processing.”