Sai Jagadeesh Muralikrishnan | Portfolio Website
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
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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.
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RL & ROS 2 - Autonomous Navigation Using Reinforcement Learning for seamless robot navigation in complex environments.
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RL & ROS 2 - Manipulator Arm Tasks Implementing RL to control a robotic arm for precise manipulations.
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ROS 2 & SLAM - Exploration Robot Developing an exploration robot that performs real-time mapping in unknown territories.
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Motion Planning & ROS 2 - Path Planning Crafting algorithms for navigating dynamic environments.
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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!