Vetted Education Professionals in Pennsylvania

“Robotics software engineer/research lead building an off-road mobile base, owning system integration across mechanical/electrical/embedded and developing controls + motion planning deployed from simulation to hardware with ROS 2/ROS 2 Control. Has deep ROS 2 experience (NAV2, MoveIt) and built a GridMap-based off-road elevation-to-traversability mapping stack using nonlinear optimization; also tuned real robots using Vicon and developed a quadcopter geometric/PID controller.”

“Python backend engineer focused on high-throughput document/PDF processing systems, building end-to-end pipelines that extract structured content for downstream NLP use cases. Demonstrates strong practical MLOps-adjacent infrastructure skills: Kubernetes deployments, GitLab CI, GitOps workflows, and an incremental migration to AWS using EC2/Lambda tradeoffs. Deep hands-on optimization experience (selective OCR, layout-aware extraction, parallelism, caching, idempotency, and backpressure/autoscaling).”

“Robotics software engineer focused on simulation-first autonomy and learning: implemented TD3 and CLIP-guided pretraining for physics-based humanoid skill learning in Isaac Gym/DeepMimic. Also built a ROS2 + dual-Docker closed-loop stack for an autonomous wheel loader in Isaac Sim, combining global planning, B-spline smoothing, and real-time NMPC control.”

“Robotics software engineer who built and tuned a contact-implicit MPC controller for a full planar pushing manipulation pipeline (“Push Anything”), including a key fix for complementarity violations that eliminated “ghost pushes” and cut time-to-goal from 40s to 25s. Hands-on with ROS/MoveIt on real robot pick-and-place, improving hardware grasp reliability through TF/frame debugging, and uses Drake/URDF for simulation, contact detection, and MPC development.”

“CMU IoT coursework project builder who implemented an end-to-end TinyML gesture recognition system on a Particle Photon + ADXL345, streaming data via MQTT/Node-RED to a real-time Node.js frontend and deploying a quantized logistic regression model on-device. Also explored multi-drone coordination, implementing leader-follower offset control and a pivot/arc turning strategy to avoid collisions, and brings practical Docker/Kubernetes plus CI/CD workflow experience from internships.”

“Robotics software engineer with extensive ROS2 experience building and integrating full autonomous navigation stacks (sensor fusion, ICP/occupancy-grid mapping, planning). Hands-on computer vision work for drones, including monocular depth-from-RGB pipelines (Open3D/OpenCV) and model swaps to improve low-light performance. Also experienced in multi-drone coordination with Crazyswarm2 and Vicon-based state estimation, plus Gazebo simulation for TurtleBot, Franka Emika, and a Lunabotics-style excavation rover.”

“Built ToolDreamer, a framework for selecting relevant tools for LLM agents by training a retriever on LLM-generated reasoning traces, and has hands-on experience building multi-agent systems in AutoGen (MAG-V) focused on question generation and tool-trajectory verification. Currently works as an AI-guides supervisor at Penn State, regularly communicating AI concepts to non-technical stakeholders.”

“At Pitt, built and productionized a deep-learning (LSTM) surrogate thermal solver integrated into the ExaCA simulation pipeline for NASA partner teams, enabling same-day parametric studies (16x speedup, ~5% error) with guardrails and FEM-based validation. Presents this work at major conferences (SFF 2023, TMS 2024) and emphasizes practical, end-to-end workflows and reliability over paper accuracy.”