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Vetted MATLAB Professionals
Pre-screened and vetted.
Junior Mechatronics/Robotics Engineer specializing in computer vision and automation
Mid-level Product Designer specializing in human-centered digital experiences
Mid-level Robotics Engineer specializing in autonomous navigation and SLAM
Mid-level Machine Learning Engineer specializing in LLM/VLM inference and RAG systems
Junior Software Developer specializing in AI agents and full-stack development
Junior Robotics Engineer specializing in industrial automation and robot programming
Mid-level Data Scientist / AI/ML Engineer specializing in financial services and GenAI
Intern Software Engineer specializing in data pipelines, security tooling, and ML for equities
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in risk modeling, NLP, and Generative AI
Mid-level Data Scientist specializing in GenAI, NLP, and cloud MLOps
Entry-Level Robotics Engineer specializing in automation, control systems, and autonomy
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
William Armstrong
Junior Product Engineer specializing in AI and SaaS
“Product intern at an AI startup (AdvisorGPT) who helped turn an LLM-based prototype into a production SEO blog-generation workflow that matched a firm’s tone/voice and targeted specific search phrases. Strong at bridging technical and non-technical teams, rapidly learning new AI tooling, and driving adoption through customer calls, UX improvements, and customer-facing demos/workshops.”
Sesha SaiSrikar Gaddam
Intern Mechanical Engineer specializing in robotics design and CAD
“Robotics engineer focused on MATLAB-based simulation and system-level/mechanical aspects of robot safety and coordination. Built an obstacle detection/collision-avoidance approach for a SCARA robot in shared human workspaces and optimized a swarm robotics simulation via priority-based task allocation and congestion-aware routing; currently ramping up on ROS concepts and interested in Gazebo + Docker/CI/CD for end-to-end robotics workflows.”
Mid-Level Full-Stack Software Developer specializing in enterprise web applications
Mid-level Data Scientist / AI/ML Engineer specializing in Generative AI and healthcare analytics
Srikanth Natarajan
Junior Robotics Engineer specializing in perception, SLAM, and reinforcement learning
“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.”
Meet Jain
Mid-level Autonomous Robotics Engineer specializing in ROS2, SLAM, and perception
“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.”
Ajay Rajakumar
Mid-level Full-Stack Developer specializing in Angular, Java, and MERN
“Full-stack developer with 4 years of experience and an MS in Computer Science who led frontend delivery for a large airline platform (booking, check-in, and payment flows) using Angular/TypeScript with a Java backend. Emphasizes quality at scale via SonarQube monitoring, E2E/regression testing, and iterative Agile collaboration with clients using Figma.”