Vetted Education Professionals in Massachusetts

“Built and productionized a recommendation system from notebook prototype into a low-latency, scalable Cloud Run service using Docker, FastAPI, Terraform, CI/CD (GitHub Actions), and MLOps tooling (Vertex AI, MLflow). Experienced diagnosing real-time workflow issues using structured logging/ELK and GCP metrics, including resolving intermittent 504s by fixing unbounded SQL and adding caching. Also partners with sales/customer teams (Wasabi) to deliver tailored demos, troubleshoot, and drive onboarding/adoption.”

“Full-stack engineer who owned an end-to-end production feature for a Piraeus Bank stock exchange module, spanning React/TypeScript, backend services, and cloud operations with Docker + CI/CD, delivering reported 90% faster API responses and improved uptime. Also built a Smartwound research MVP on AWS, creating a Python image-processing/scoring pipeline to ship despite unclear image-analysis specs.”

“Robotics engineer who built an autonomous driving mobile robot software stack at Boston University using ROS on an NVIDIA Jetson Nano, integrating LiDAR + stereo vision with YOLOv5 and a probabilistic occupancy grid for planning. Demonstrated real-time systems rigor (multi-rate ROS nodes, 50ms sync, profiling/instrumentation) and optimized YOLOv5 with TensorRT, citing ~30% accuracy improvement; also taught ROS workshops to 50+ students.”

“Robotics software engineer with hands-on ROS 2 experience across drones, mobile robots, and manipulators. Built an end-to-end visual SLAM + navigation stack on a real robot using RTAB-Map, and implemented ROS 2-based coordination between a mobile robot and manipulator for camera-triggered object pickup. Optimizes real-time behavior by moving performance-critical code to C++ and deploying TensorRT-compressed models.”

“Robotics software engineer with deep ROS2 experience who built a modular autonomous robotics stack (perception/sensor fusion, localization+mapping, and planning). Led development of a LiDAR+camera fusion and multi-object tracking pipeline (PCL + YOLO + Kalman filtering) and debugged real-time SLAM/localization issues via QoS/timestamp synchronization, EKF tuning, and SLAM Toolbox parameter optimization using Gazebo/RViz and rosbag replay.”

“Video production assistant at Harvard University supporting live game-day broadcasts, including video board shows, online streams, and TV programming across multiple sports. Also created and uploaded short films to a personal YouTube channel while at Boston University, serving as director/cinematographer and producing with an iPhone under COVID-era constraints. Based in Greater Boston, available immediately, and flexible for travel and non-traditional hours.”

“Software engineer who built and owned an internal workflow automation + analytics platform end-to-end (TypeScript/React/Node) with a microservices, RabbitMQ-based async architecture. Drove adoption by shipping iterative prototypes and prioritizing reliability/performance (Redis caching, query optimization), delivering ~30–35% latency improvements and ~30–40% reduction in manual operational work.”

“Robotics software engineer with hands-on experience building Visual-Inertial SLAM and ROS2 sensor-fusion pipelines for autonomous warehouse forklifts (ArcBest), including rigorous calibration (AprilTags, Allan variance, temporal sync) and recovery features like pose injection. Also implemented RL-based local planning at RollNDrive using Isaac Sim with domain randomization to bridge sim-to-real, improving real-world navigation success back to ~90% after initial deployment.”