Robotics Engineer | M.Eng. in Robotics, University of Maryland, College Park

Welcome! I'm Sai Jagadeesh, a passionate robotics engineer who has recently graduated with a Master's in Robotics from the University of Maryland, College Park. I come with a solid background in Mechatronics from REC, Chennai, and hands-on experience working in startups focused on vehicular systems and automation.

"It's not who I am underneath, but what I do that defines me." – Batman 🦇

• Expertise: Robotics, Machine Learning, Computer Vision
• Programming Languages: Python, C++, MATLAB
• Tools and Frameworks: ROS 2, Gazebo, Docker, SolidWorks, YOLOv8, PyTorch
• Awards: Best Paper Award (3rd place) at the International Conference on Data Science, Machine Learning & Applications 2021
• Currently Learning: Reinforcement Learning, Advanced Control Systems

• University of Maryland, College Park
  Master of Engineering in Robotics (Graduated May 2025)
  GPA: 3.80

• Rajalakshmi Engineering College (Affiliated to Anna University), Chennai
  Bachelor of Engineering in Mechatronics (Aug 2018 – Jul 2022)
  GPA: 3.76

Graduate Research Assistant
Maryland Robotics Center (Aug 2024 – May 2025)

• Working on the DARPA Triage Challenge, focusing on developing novel physiological features for medical triage in challenging environments.
• Integrating Large Language Models (LLMs) for real-time processing and analysis of sensor data.
• Goal: Enhance early casualty prioritization in pre-hospital settings, improving interventions for life-threatening conditions.

Graduate Teaching Assistant
College of Computer, Mathematical, and Natural Sciences, University of Maryland (Aug 2024 – May 2025)

• Assisted with a Robotics course in the Applied Machine Learning program, guiding students through concepts and techniques related to UAVs and machine learning.

Perception Engineer Intern
KICK Robotics (May 2024 – Aug 2024)

• Developed navigation and object detection systems for warehouse and agricultural robots.
• Worked with advanced computer vision algorithms to optimize perception modules.

Embedded Systems Engineer
TuTr Hyperloop, IIT-Madras Startup (Oct 2022 – Jul 2023)

• Programmed Vehicle Control Units using C++ and CAN communication, central to the control architecture of advanced vehicular systems.

• Technologies: Python, ROS 2, Gazebo, OpenAI Gym
• Enhanced ground robot navigation by integrating Double DQN and Dueling Architectures, achieving a 75% improvement in navigation success.

• Developed a navigation system using optical flow, lane following, and stop sign detection with OpenCV, ROS 2, and YOLOv8.

• Designed control mechanisms in ROS 2, including forward and inverse kinematics for a mobile manipulator robot. Currently implementing reinforcement learning.

• Created a hand that mimics human gestures using Arduino, enabling wireless control for demonstration and experimentation.

1. RL & ROS 2 - Autonomous Navigation Using Reinforcement Learning for seamless robot navigation in complex environments.

2. RL & ROS 2 - Manipulator Arm Tasks Implementing RL to control a robotic arm for precise manipulations.

3. ROS 2 & SLAM - Exploration Robot Developing an exploration robot that performs real-time mapping in unknown territories.

4. Motion Planning & ROS 2 - Path Planning Crafting algorithms for navigating dynamic environments.

5. Multi-Robot Coordination Focusing on collaborative tasks where multiple robots work together.

• Call of Duty: Warzone – Immersive and intense battle royale experience.
• Valorant – Combines strategy and quick reflexes.
• Crysis Trilogy – Dystopian and exosuit experience
• Cyberpunk 2077 – Exploring the dystopian world of Night City.

• LinkedIn: linkedin.com/in/sai-jagadeesh-m/
• Email: jagkrish@umd.edu
• GitHub: github.com/cravotics

Feel free to explore my repositories and reach out for collaborations or just to say hi!