Vetted Robotics Professionals

“Game designer currently leading design on a Mario Party-like party game, owning mode design, economy, and meta-progression. Uses playtests and A/B tests to tune fairness-focused systems (e.g., dynamic power-ups accounting for player standing and turn order) and prototypes quickly in UE5 Blueprints. Previously shipped a mixed-reality version of Knockout League’s Knockout Alley mode for a Quest 3-aligned release.”

“Robotics software engineer (PhD background) who owned an end-to-end autonomy stack for a 2025 GTC demo, integrating ROS2/MoveIt2 with a high-fidelity NVIDIA Isaac Sim environment for regression testing and sim-to-real validation. Has hands-on experience optimizing MoveIt2 planning (parallel pipelines + evaluation metrics) and building outdoor Nav2 localization using dual EKF with GNSS and LiDAR/IMU sensor fusion; currently building simulation environments at Richtech Robotics.”

“Robotics software engineer focused on ROS 2 localization/SLAM: built a particle-filter (Monte Carlo) localization system in Python with likelihood-field modeling to handle noisy LiDAR and dynamic environments. Strong in debugging ROS 2 integration issues (tf2 frame sync, DDS/QoS message reliability) and in profiling/optimizing pipelines to reach real-time performance (~10 Hz) using precomputation and KD-trees.”

“Robotics engineer with Honeywell and Tata Motors experience deploying ROS/ROS2 autonomous mobile robot fleets into live factory environments, integrating sensors, safety PLCs, and on-prem services. Known for solving end-to-end latency and stability issues (including network spikes under load) using gRPC, Docker, and improved diagnostics—cutting diagnosis time from hours to minutes and achieving sub-150 ms control response.”

“MS thesis work in the University of Washington Autonomous Controls Lab building a full quadrotor guidance/navigation/control stack, including high-fidelity dynamics modeling and an SCP trajectory optimizer made robust to wind via trust regions and MPC-style replanning. Also built an autonomous RC car using ROS on Jetson Xavier with ZED stereo/VIO, implementing perception (point cloud filtering/clustering) and state estimation while addressing real-time synchronization and latency challenges.”

“ML/NLP practitioner focused on knowledge-graph-based retrieval for LLM question answering, including an urban/autonomous-vehicle decision-making use case. Built a hierarchical GraphRAG + vector database system and an entity-resolution pipeline that blends spatial and semantic similarity, validated using LLM-generated synthetic datasets; uses Python tooling like RDFLib, GraphDB, OpenAI APIs, and LangChain.”

“Early-stage/first sales hire profile with strong outbound motion and process-building experience. Self-sourced and closed a $2.8M Yahoo deal (8-month cycle) using a shared mutual plan to manage stakeholders and timelines, and has recent mid-market ACV wins selling Mapistry to environmental compliance managers by enabling champions to secure internal budget. Has also implemented MEDDICC and built foundational GTM assets (e.g., Quantcast’s first sales deck used in $2B+ of closed business).”

“Master’s robotics candidate at Northeastern (Silicon Synapse Lab) who built and tuned an NMPC for the M4 multi-modal morphobot to achieve high-speed (>10 m/s) aggressive flight maneuvers and even hover under a full rotor failure, using MATLAB/CasADi/Simulink/Simscape with IPOPT. Also has ROS/ROS 2 experience spanning SLAM/navigation on a UGV and GPS/IMU sensor-fusion + dead-reckoning with custom ROS 2 nodes/messages, with a strong simulation-first and real-time debugging approach.”

“Embodied AI / robotics-focused ML engineer with experience at JPMorgan and EY building language-to-robot control systems that connect transformer/LLM intent to safe real-world robotic actions. Designed production-grade, low-latency architectures (Kafka/Redis, monitoring, CI/CD) and applied sim-to-real and model distillation to make research ideas deployable on physical systems.”

“Robotics-focused engineer with co-op experience building and debugging embedded C++/Python drivers for time-of-flight sensing on a Flex Stacker product, plus automation of large-scale test data collection via Google Drive/Sheets APIs to enable parallel robot testing. Also has ROS2 sensor-driver experience (GPS/RTK/IMU with custom messages/ROSbags) and is building a side project integrating Whisper-based live transcription with chunked abstractive summarization in a latency-aware pipeline.”

“Robotics software candidate with experience spanning simulation (MuJoCo, Gazebo, Webots) and ROS1/ROS2 development, including hardware-oriented work on a hexapod and a Mecademic Meca500 R3 arm. Built a visually guided interactive indoor robot system using a CV pipeline plus POMDP + imitation learning with PPO-based residual RL, and has practical debugging experience improving LiDAR SLAM stability and migrating sensor interfaces from ROS1 to ROS2.”

“Product/UX designer with academic HCI experience (CMU HCII) and Tufts coursework who has built research-driven products ranging from a fiber-focused community wellness app to a VR emotion-inducing gamified experience. Also completed a product design internship at a stealth consumer robotics startup in the beauty industry, conducting in-salon field research and prototyping human touchpoints, and has led a website team bridging UX and engineering with hands-on coding knowledge.”

“Robotics software developer with hands-on ROS experience building a timer-driven closed-loop controller for a differential-drive robot in Gazebo, including square/figure-8 trajectory planning and RViz/rqt_graph-based debugging. Currently extending the system with LiDAR-based obstacle detection, safety overrides, and reactive velocity arbitration for collision-free motion.”

“Robotics software lead from Texas A&M Aggie Robotics who built WoopLib, a SLAM-based vision/navigation library using PID pure pursuit. Has hands-on ROS/ROS2 and Jetson Nano experience integrating Intel RealSense (T265/D435i) with wheel odometry for accurate state estimation, including compiling deprecated sensor support from source and optimizing by moving to Python with C++ bindings and serial streaming to a microcontroller.”

“Robotics/AV engineer with strong ROS2 and autonomy stack integration experience, including bringing Autoware Universe up on a real Lexus autonomous vehicle platform. Also built a hierarchical reinforcement learning proof-of-concept for Boston Dynamics Spot (navigation + manipulation) and tackled sim-to-real challenges by implementing PD torque conversion for Jetson-based hardware; improved localization accuracy via GNSS+EKF fusion with a reported 28% drift reduction.”

“Robotics software engineer who worked on NYU’s Medi Assist robot, owning navigation sensor bring-up (LiDAR/radar/IMU) and SLAM stability, plus delivering a safety-critical braking system. Built a YOLOv8 perception pipeline on Jetson Nano and wrote STM32 firmware to actuate brakes, achieving ~50ms reaction time, and implemented diagnostics/health checks and reliable inter-board comms (ROS2 + UART with checksums/heartbeats).”

“Robotics software engineer focused on ROS2 autonomy, with hands-on work building a monocular visual odometry system on KITTI (including GPS-based scale correction and RViz trajectory visualization) and an end-to-end Gazebo simulation integrating URDF, slam_toolbox, and Nav2. Demonstrates strong practical debugging skills around TF frames, lifecycle nodes, and Gazebo plugin/version compatibility.”