Hi,
I'm Sai Jagadeesh
Robotics Engineer
Download CV 📄✨
About
I'm Sai Jagadeesh
I'm currently pursuing a Master of Engineering in Robotics at the
University of Maryland, focusing on advanced computer vision,
discrete optimization, reinforcement learning, and resource
allocation for robotic systems. My main goal is to innovate in the
field of autonomous manipulation and planning algorithms, especially
for dynamic warehouse environments.
Objective: To secure the Entry-level full-time Robotics (Summer 2025) and apply my academic
research experience in software, computer vision, planning, and ML to develop
cutting-edge robotic solutions that transform fulfillment processes.
Education
University of Maryland, College Park
Master of Engineering in RoboticsExpected May 2025 | GPA: 3.78
Relevant Coursework: Computer Vision, Machine Learning, Reinforcement Learning, Robot Dynamics, Optimization.
Rajalakshmi Engineering College, Chennai
Bachelor of Engineering in MechatronicsMay 2022 | GPA: 3.76
Relevant Coursework: Control Systems, Embedded Systems, Robotics, AI & Machine Learning, Industrial Automation.
Professional Experience
Research Assistant
University of Maryland, College ParkAug 2024 – Present
- Developing and calibrating advanced computer vision algorithms for Blaze Time-of-Flight cameras to enhance depth perception on Boston Dynamics Spot robots.
- Implemented novel multi-sensor extrinsic calibration strategy between RGB and intensity images, boosting depth accuracy by 15%.
- Integrating Large Language Models (LLMs) to improve real-time sensor data analysis for medical triage (DARPA Triage Challenge).
Perception Engineer Intern
KICK Robotics, College Park, MDMay 2024 – Aug 2024
- Designed and integrated YOLOv8-based pipelines for real-time object detection in dynamic warehouse/agricultural environments.
- Optimized ROS2-based navigation algorithms, reducing navigation error by 10%.
- Collaborated with cross-functional teams to deploy improved perception solutions in production-ready robotic systems.
Graduate Teaching Assistant
University of Maryland, College ParkAug 2024 – Present
- Assisted in Robotics course for the Applied Machine Learning program, guiding students through UAV robotics and ML concepts.
- Provided feedback on student projects, ensuring robust implementations of deep learning pipelines.
Embedded Systems Engineer
TuTr Hyperloop (IIT-Madras Startup), ChennaiJul 2022 – Dec 2022
- Programmed real-time communication protocols using C++ and CAN for high-speed transport modules, reducing system latency by 20%.
- Deployed embedded software solutions for next-gen Hyperloop prototypes, ensuring reliable and efficient performance.
Featured Project
MULTI⦿VIZ: Advanced Multi-Robot GUI
A ROS2-based, user-friendly GUI designed for seamless **multi-robot monitoring, control, and experimentation**. This powerful tool integrates real-time **visualization, teleoperation, voice commands, and custom experimentation displays**, making it a superior alternative to traditional RViz solutions.
- 📡 Real-time odometry, LiDAR, and camera feeds
- 🎮 Teleoperation & Waypoint Navigation (x, y, yaw)
- 🗣️ Voice Command Interface with TTS Feedback
- 🛠️ Custom Experimentation Display (Depth maps, Heat maps, etc.)
- 🚨 Emergency Kill Switch for instant shutdown
- 🔋 Battery monitoring for real-world applications
Projects
Multi-Agent Robotic Exploration Using Monte Carlo Tree Search
Designed AI-driven search algorithms using Python and C++ for robot path planning. Integrated AWS RoboMaker and optimized path planning speed by 30%.
Autonomous Navigation Using Double DQN and Dueling Architecture
Implemented AI-based navigation with Double DQN, increasing path planning efficiency by 75% in simulated multi-obstacle environments.
Adaptive Text-to-Command Translation for Robot Navigation (NLP)
Developed a transformer-based model (T5-Small with LoRA) to convert natural language commands into robot navigation sequences.
Versa-BOT V1.0 – A Shop-Floor Mobile Manipulator
Designed a 7-DOF mobile manipulator in ROS 2 with trajectory planning and LIDAR-based obstacle detection.
Implementation of MoveIt Motion Planning on the Panda Robotic Arm
Developed a MoveIt-based pick-and-place operation in ROS 2 Humble with trajectory execution in RViz2.
Autonomous Gate Detection for Drone Navigation
Developed a ROS-based gate detection pipeline for real-time navigation of a drone using MAVROS and PX4.
Wireless Animatronic Hand Using Infrared Sensor
Designed a wireless animatronic hand using infrared sensors, published in ICDSMLA 2021, achieving Best Paper (Third Place).
Mobile Robot Hardware Challenge
Created a perception pipeline using ROS 2 and OpenCV for dynamic obstacle detection and lane-following.
Skills
Programming Languages & Tools
I develop robust applications using a variety of languages and development tools.
Python
MATLAB
C
C++
Bash
CUDASoftware & Systems
I build scalable solutions using modern DevOps practices, cloud services, and containerization.
AWS
Docker
GitRobotics & Machine Learning
I integrate advanced robotics frameworks and machine learning libraries to deliver intelligent solutions.
ROS
PyTorch
TensorFlow
OpenCVPublications & Awards
Wireless Animatronic Hand Using Infrared Sensor (2023)
ICDSMLA 2021: 3rd International Conference on Data Science,
Machine Learning and Applications
Authors: M Balakarthikeyan, D Rajesh,
M Sai Jagadeesh, G Santhosh Kumar
Abstract: Designed a wireless animatronic hand
using an infrared sensor for data transmission, enabling pick-and-
place operations and reducing human risk. Published by Springer
Nature Singapore.
Best Paper Award (Third Place)
2021 | International Conference on Data Science, Machine Learning & Applications
Get in Touch
I'd love to hear from you! Fill out the form below and I'll get back to you soon.