Vetted MATLAB Professionals

Shao Rong Su

Screened

Senior AI Research Engineer specializing in LLM agents and predictive maintenance

5y exp

“At Delta Electronics, partnered with automotive firmware teams to productionize an LLM-based coding assistant for identifying safety standard violations and generating bug-fix guidance. Built an agentic workflow with stepwise context extraction, similarity search, and a separate judge model for scoring reasoning/retrieval, and drove internal adoption through pain-point discovery and tailored technical demos using real firmware code.”

Rifat Khan

Screened

Mid-level Mechanical/Aerospace Engineer specializing in scientific computing, CFD, and ML systems

Santa Fe, New Mexico6y exp

“Robotics/control-focused engineer who built and validated a series elastic actuator control stack end-to-end (dynamic modeling, torque/position control, simulation, and experimental real-time debugging on hardware). Deep simulation background (OpenFOAM/COMSOL/Abaqus) and practical reproducibility tooling (Docker/CI), with conceptual ROS/ROS2 knowledge and confidence ramping into ROS-based stacks.”

Utkarsh Mittal

Screened

Intern Data Scientist specializing in computer vision and LLM agents

Sunnyvale, CA0y exp

“Software engineering candidate with hands-on experience building and shipping LLM agents: created a production AI enrichment/coding agent at Covalent Metrology using Apollo.io + OpenAI, and built a Mistral hackathon router that dynamically selects among models to reduce token cost while maintaining quality. Also developed a real-time financial margin analysis agent that emails actionable insights and iterated on reliability issues (e.g., fixing misrouted emails, improving news relevance filtering).”

“HVAC services sales professional with hands-on outbound prospecting experience, including cold calling and in-person client meetings. Stands out for rebuilding trust in a school district where the company had a poor reputation and ultimately winning a three-school HVAC service deal through persistence and tailored solution selling.”

“Electrical design engineer with hands-on experience leading industrial and commercial building power systems, including a 4.16kV redundant distribution design for a 24/7 automotive supplier facility that was installed without shutting production down. Brings a strong mix of NEC-driven design rigor, analysis tools like AutoCAD Electrical/Revit/MATLAB, and field-oriented collaboration across controls, mechanical, commissioning, and contractor teams.”

“Candidate is pursuing a CTO role and has helped multiple startups turn early technology concepts into concrete, real-world technical requirements. They cite a systems science and mathematics background, along with experience at JPMorgan Chase, and appear strongest in technical strategy, concept fleshing, and identifying strong people to help teams succeed.”

“AI/ML engineer who has built a production text-to-image generation system in PyTorch with an AWS-backed inference setup, focusing on GPU-efficient training and embedding-space architectural choices inspired by recent research (e.g., Meta VL-JEPA). Uses both metric-based evaluation (FID) and human testing to validate real-world visual quality, and can translate technical concepts for non-technical stakeholders.”

“Robotics software engineer with hands-on experience across reinforcement learning and ROS/ROS2, including a project teaching Boston Dynamics Spot to open a door by combining vision-based pose estimation with SAC-trained IK and a walking policy in MuJoCo. Previously built ROS Noetic control for surgical robots using RCM with MoveIt IK and achieved sub-0.02s latency via threading; also participated in a NASA ROS2 space simulation building rover teleop and sensor-driven mapping.”

“Robotics software candidate who built a full MPC-based locomotion controller for the Unitree Go2 quadruped, outputting low-level torque commands. Demonstrated strong real-time optimization skills by profiling the control pipeline and cutting compute time to <5ms per tick, and is integrating the stack with ROS 2 plus MuJoCo/Pinocchio for closed-loop simulation and model linearization.”

“Early-career robotics engineer who has integrated LLM/NLP command interfaces (OpenAI/LLaMA) into ROS-controlled industrial manipulators and built data-driven controls for underwater soft robotic actuators. Combines hands-on fabrication (balloon actuator with embedded copper traces) with sensor debugging (IMU/Aurora) and simulation work in Gazebo, with practical exposure to edge deployment constraints on Jetson Nano and model quantization.”

“Robotics software engineer with UC Irvine capstone experience building an autonomous rover end-to-end: ROS 2 navigation (slam_toolbox + Nav2) on Jetson Xavier, depth point-cloud integration for obstacle avoidance, and an on-device speech-to-action interface that converts natural language into Nav2 goals. Also has prior full-time experience integrating a safety assurance decision engine into distributed autonomous drones over secured mesh networks, emphasizing reliable communication under real-world network constraints.”

“Robotics software engineer who owned the end-to-end navigation stack for a mobile manipulation robot (Cone-E), integrating ZED-2i SLAM into a real-time occupancy grid with live obstacle avoidance, A* planning, and lookahead control. Strong in real-time debugging and stability improvements (goal snapping/locking, obstacle persistence, rate-limited replanning) and validates changes on hardware, supported by simulation (Gazebo/Webots) and Docker/CI-based testing.”

“Robotics software engineer with hands-on ROS2 autonomy experience across F1TENTH and Turtlebot platforms, building planning/control behaviors (Pure Pursuit, Follow-the-Gap, emergency braking, PID wall following) and validating in Gazebo/RViz. Also integrated a custom curvature-based speed planning node into Autoware (with AWSIM), demonstrating practical autonomy stack integration and strong debugging of LiDAR pipelines.”

“Computer-vision-focused candidate with internship experience at ASML (Silicon Valley) building object detection models (YOLO, RT-DETR) for SEM defect inspection. Worked end-to-end on preparing multi-resolution datasets and tuning/training strategies, noting improved performance on low-quality images when training jointly on higher-resolution data.”

“Real-time 3D/C++ developer with hands-on engine-level systems work, including a 3D positional audio/Doppler pipeline stabilized against frame-rate jitter via fixed-timestep + interpolation architecture. Built a runnable 3D engine project featuring custom collision detection/response (AABB, SAT, sphere) with unit and edge-case testing, and has UE5 multiplayer movement experience implementing a custom sprint mode using Character Movement (SavedMove, intent prediction).”

“Head of Robotics at Orbital Composites who built the full ROS-based software stack ("OrbOS") for multi-robot KUKA-arm 3D printing of carbon-fiber composite geometries. Deep in motion planning and real-time control—created a pipeline to turn underconstrained toolpaths into optimal joint trajectories at massive command scale, plus redundant safety gatekeeping and a 250Hz synchronized robot+extruder controller. Has operated in a technical-founder capacity for ~6 years and values an engineering culture of openness, honesty, accountability, and high ownership.”

Krishna Kodur

Screened

Mid-level Robotics & AI Researcher specializing in human-robot interaction and reinforcement learning

Santa Clara, CA8y exp

“Robotics software engineer who built an end-to-end mobile manipulation platform (Franka Panda on a Clearpath Ridgeback) for a simulated-kitchen human-robot interaction study with natural speech commands, implemented in Python/ROS. Has hands-on experience integrating diverse sensors (RealSense, LiDAR, biosignals) with deep learning frameworks (PyTorch, Hugging Face) and fine-tuning GPT-Neo, plus simulation (Gazebo) and modern deployment practices (Docker/Kubernetes, CI/CD).”

jiayu Zhao

Screened

Junior Quantitative Analyst and Full-Stack Engineer specializing in FinTech and web platforms

Chicago, IL6y exp

“Backend/distributed-systems engineer with AI infrastructure experience who built an AI-driven video generation platform, focusing on an asynchronous FastAPI-based orchestration layer between user APIs and heavy inference services. Strong in production instrumentation and latency/concurrency optimization; actively learning ROS 2 but has not yet worked on physical robotics or ROS-based deployments.”

Ahmed Atallah

Screened

Senior Controls & Localization Engineer specializing in autonomy, sensor fusion, and MPC

Troy, Michigan12y exp

“Robotics software engineer focused on state estimation and localization reliability, with deep hands-on EKF tuning/validation using DGPS ground truth and integrity-risk-based uncertainty calibration. Built middleware-agnostic interfaces with ROS wrappers to enable repeatable ROS bag playback testing, and implemented CI at Caterpillar to automatically build the localization stack and run unit tests plus bag-based regressions before merge.”

Kunal Siddhawar

Screened

Mid-level Robotics & Embedded Systems Engineer specializing in perception and autonomy

Pune, India3y exp

“University of Michigan MDP / Atombots lab robotics engineer leading perception and sensor integration for multi-agent quadruped wheel-legged robots. Implemented and optimized RTAB-Map SLAM on Jetson Nano using Unitree L2 LiDAR + Intel RealSense D435i, including custom ROS 2 synchronization and TF2 calibration work; now building Apriltag-based tracking for multiple micro-robots to support decentralized swarm behavior research.”

Zhiwen Zhao

Screened

Junior Data Engineer specializing in cloud ETL and big data platforms

New York, NY3y exp

“Data engineer focused on transit/transportation datasets, building Spark-based pipelines that ingest from Oracle/APIs, apply PySpark data-quality fixes, and publish star-schema fact tables to Azure Data Lake. Experienced troubleshooting complex Spark failures (using checkpointing to manage long lineage) and operating Airflow-driven backfills and GitLab CI deployments for production DAGs.”