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Vetted MATLAB Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in production ML, NLP, and computer vision
Intern Machine Learning Engineer specializing in NLP and LLM/RAG systems
Principal Systems Engineer specializing in digital health cloud platforms and UX
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Executive Solutions Architect & HealthTech CTO specializing in telehealth and Epic integrations
Principal AI Engineering Leader specializing in ML, computer vision, and signal processing
Junior Software Engineer specializing in AI, distributed systems, and recommendation systems
Intern Robotics Engineer specializing in autonomous navigation and robot integration
Intern AI/ML Engineer specializing in generative AI and multimodal agentic systems
Senior Business Analyst specializing in data analytics and business intelligence
Mid-level analytics professional specializing in pricing and survey analytics
Senior Data Scientist/Statistician specializing in SAS automation and data quality
Director of Architecture specializing in AdTech, AI/ML, and large-scale cloud platforms
Ishaan Kandamuri
Intern Aerospace/Robotics Engineer specializing in GNC, autonomy, and sensor fusion
“University robotics researcher graduating May 2026 who integrated an Intel RealSense D435i onto a TurtleBot3 (Jetson Nano) and built a ROS 2 node + OpenCV pipeline to feed color-based cues into navigation/path planning for RL grid-world experiments. Has hands-on ROS 2 experience spanning Gazebo simulation, Nav2, ros2_control, multi-robot namespacing, and ROS1-to-ROS2 bridging, plus CI/CD exposure (GitLab CI, Jenkins) from internships including aircraft navigation work.”
Karan Shah
Mid-level Software & Robotics Engineer specializing in autonomous systems and ROS 2
“Robotics software engineer focused on production-grade autonomy in GPS-denied environments, building full navigation stacks (perception, EKF/UKF sensor fusion, planning, control) in ROS2. Integrated YOLOv8/semantic segmentation/RL policies into real-time NAV2 pipelines via a custom perception-aware costmap layer, with emphasis on deterministic control loops, embedded GPU performance, and robust system observability/fault tolerance.”
kunj Golwala
Junior Robotics Perception Engineer specializing in autonomous navigation and robot learning
“Robotics software/perception engineer with production AMR experience at Symbotic, building a real-time SKU case re-identification pipeline used in high-volume Walmart/Target warehouse operations. Strong in ROS2 + Docker deployments on Jetson (TensorRT quantization) and system-level performance debugging, including cutting inference latency from ~13s to ~2s through architecture changes. Also has lab experience integrating SLAM/MPPI/behavior trees for rule-compliant navigation and distributed perception-to-UR5e manipulation systems (MoveIt/ros_control) with multi-camera sensing and 3D reconstruction.”
Thirumalaesh Ashokkumar
Mid-level Robotics Engineer specializing in SLAM, perception, and state estimation
“Robotics software lead with 4+ years of ROS/ROS2 experience spanning a startup (Inductive Robotics) and General Motors, building autonomous mobile manipulation and AMR material-handling stacks. Has hands-on depth in SLAM/navigation (Cartographer/Nav2), perception, and simulation, and has directly modified Cartographer to handle real-world sensor dropouts. Currently working on fleet-scale mapping capabilities (map merging/editing, trajectory pruning) for multi-robot deployments.”