Vetted Robotics Professionals

“Hands-on engineer who has taken an LSTM Bitcoin forecasting model from notebook to a production-grade, monitored API (Docker/Gunicorn/Nginx, Prometheus/Grafana, blue-green rollback) delivering 99.9% availability and ~110–120ms p95 latency. Also built an RFID self-checkout prototype spanning Raspberry Pi + firmware + networking, using deep instrumentation to eliminate double-charges/timeouts (<0.1%) and reduce checkout time ~20% through idempotency, debounce logic, and hardware fixes.”

“Industrial robotics/automation lead engineer who integrated a FANUC 6-axis arm with a KEYENCE CV-X vision system on a high-speed assembly line, coordinated by a master PLC over EtherNet/IP. Known for improving throughput by parallelizing vision acquisition in background robot programs and for rigorous factory-floor validation (PLC timing analysis, vibration mitigation, offline simulation, and custom HIL test jigs). Also built Python automation to deploy configuration updates across multiple robotic cells.”

“Robotics engineer who built a real, mostly self-assembled autonomous robot (WRAITH) as a final-year project, implementing ROS2-based 2D SLAM (Cartographer/SLAM Toolbox) and Nav2 on a Raspberry Pi 5 under tight CPU/RAM and OS compatibility constraints. Also delivered a full Flutter mobile control app backed by a Flask REST API (manual control, live camera streaming, mapping/navigation) and introduced an image-based verification method to improve localization.”

“Robotics lead engineer (PhD/agriculture research context) who built and iterated a three-unit, wirelessly coordinated greenhouse data-collection robot—solving real-world alignment and comms reliability issues by redesigning the rail/gear system and moving from RF to ESP Wi-Fi with MAC-addressed control. Strong embedded C/C++ background with full-stack robot control implemented from scratch; beginning exposure to ROS 2 via an upcoming field deployment.”

“Robotics engineer who built an educational/research robotic arm end-to-end, including IK/FK math, simulation-based validation, and ROS2 Humble integration with multiple teleoperation inputs (DualSense and Leap Motion). Also optimized a resource-constrained ESP32-S3 wireless maze robot to stream real-time video and sensor data over WiFi using TCP/HTTP with RTOS-based concurrency and binary struct packing.”

“Undergraduate Research Assistant at Virginia Commonwealth University with exposure to autonomous vehicle and UAV platforms in the Open Cyber City lab, assembling and setting up Duckiebots/Duckiedrones. Built introductory ROS 2 Python projects (ping-pong pub/sub and services) and has some experience setting up Docker for Duckietown-based robotics environments.”

“Engineering student with hands-on robotics and simulation experience: led an Arduino line-following “Batmobile” robot project used as a K–12 teaching tool and won best design in a 100+ student section. Also implemented SARSA reinforcement learning for a 16-DOF robotic hand in MuJoCo, optimizing the state representation to train efficiently on a CPU, and brings strong cloud/container skills (Docker, Kubernetes, AWS certs).”

“Robotics software/embedded engineer who helped build an end-to-end perception sensor platform in a two-person team, owning PCB design, ROS architecture (sensor/processing/diagnostic nodes), and documentation. Experienced integrating heterogeneous sensors over CAN with Arduino and optimizing real-time performance bottlenecks (camera and high-frequency streams) using compression, grayscale pipelines, and reduced inference frequency; also containerized the system with Docker.”

“Currently working at CBS Lab in Austria, where they implemented/replicated the "Open World Grasping" research pipeline end-to-end. Built a ROS-based RGB-D perception-to-action system using SAM 2.1 segmentation and MoveIt motion planning to generate grasp poses and execute pick-and-place/sorting with a robotic arm.”

“Perfil junior enfocado en robótica que participó en un macroproyecto de cuadrúpedo teleoperado ("Centauro") y un robot teleoperado sumergible, contribuyendo tanto en manufactura como en software con ROS 2 sobre Linux. Implementó nodos para interpretar comandos desde una interfaz y convertir coordenadas para mover el efector final, y trabajó en comunicaciones distribuidas con ESP32 + módulos CAN; además tiene experiencia en embebidos y simulación con Gazebo/SolidWorks.”