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The Explorer's Log:

Engineering the Future: Seeking Full-Time Opportunities in Robotics, Mechanical, and Mechatronics Engineering

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Sai Madhavan Surabathula - MSE Mechanical Engineering (Robotics Concentration), Whiting School of Engineering, Johns Hopkins University, Class of 2024.

As an aspiring engineer deeply immersed in the robotics and mechatronics fields, I bring a robust foundation in systems engineering, cross-functional leadership, and bunch of advanced technical skills. My journey at Johns Hopkins University, enriched by hands-on project involvement in underwater robotics and autonomous vehicles, underscores my commitment to pushing the boundaries of robotics engineering.

I specialize in programming (MATLAB, Python, C++), robotics software (ROS, Gazebo, Rviz), control systems, aerodynamics, state estimation techniques, and device development.

My professional experience, including significant roles at Mahindra and Mahindra and as a Graduate Research Assistant at Johns Hopkins, showcases my ability to lead complex projects from conception to deployment, innovate within interdisciplinary teams, and drive technological advancements in challenging environments.

Seeking full-time opportunities that leverage my expertise in robotics, mechatronics, or mechanical engineering, I am eager to contribute to innovative projects that solve real-world problems.

I can be contacted at!

Let's engineer the future together.

Sai Madhavan S | Robotics: About
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My "Not so Secret" Arsenal

My Personal Toolkit for Engineering Adventures: Navigating Complex Challenges with Innovation and Expertise

  • Programming Languages and Software Development: Advanced proficiency in MATLAB and Python; Beginner-Intermediate in C++. Demonstrated experience in developing software for real-time sensor data processing, simulation model development, and dynamic system analysis using MATLAB and Simulink.

  • Robotics Software, Control Systems, and Aerodynamics: Extensive experience with ROS, Gazebo, Rviz, and MoveIt! for robot simulation, control, and visualization. Strong foundation in control systems, including the design and implementation of PID and PIR controllers, manual gain tuning, and autopilot control algorithms.

  • Advanced State Estimation Techniques: Proficiency in implementing Extended Kalman Filters for attitude estimation, GPS smoothing, and full inertial navigation systems, enhancing UAV state estimation accuracy. Specialized in sensor data fusion, aiding in robust state estimation in complex environments, including underwater scenarios.

  • Sensor Modeling and Numerical Methods: Developed models for common UAV sensors including gyros, accelerometers, and pressure sensors. Applied numerical methods for system trimming, linearization, and dynamic response analysis, facilitating the development of efficient control systems.

  • Project Management and System Integration: Proven track record in managing complex projects from conception to real-world application, demonstrating exceptional capability in system integration and prioritization to meet engineering and program timelines..

  • Machine Learning and Data Analysis: Skilled in supervised learning techniques such as neural networks and support vector machines.

  • Simulation, Testing, and CAD Tools: Experienced in developing and testing systems in simulated environments and real-world deployments. Well-versed in SolidWorks, CATIA, and AutoDesk Inventor for mechanical design, with extensive use of Gazebo for robotic simulation.

  • Electromechanical Systems: Extensive hands-on experience in designing, testing, and validating electromechanical systems, focusing on actuators like DC brushed motors, BLDC motors, and sensors such as Hall-effect sensors, Quartz Depth Sensors, Echosounders, and Cameras.

Sai Madhavan S | Robotics: Welcome

The Inspirational Ignition:

Why I do, What I do?

Drawing inspiration from the depths of the ocean to the expanse of outer space, my fascination with robotics is fueled by a desire to unlock the unknown and harness technology to revolutionize our world.

This journey, influenced by childhood heroes like Kiteretsu (Yes! The cartoon) and Tony Stark (Pure Amazement) , has evolved into a dedicated pursuit of advanced robotics and mechanical engineering at Johns Hopkins University.

Here, my academic and professional endeavors have not only expanded my technical expertise but also reinforced my commitment to innovation and problem-solving.

At the heart of my exploration lies a deep-seated passion for creating robots that do more than just function in controlled environments—they adapt, learn, and thrive in the most challenging conditions. My work, ranging from the precise kinematics modeling and simulation of UR5 robots to the development of advanced navigation systems for mobile robots, embodies this vision. Each project, whether it’s enhancing the localization of a Jackal robot in rugged terrain or developing high fidelity simulation models for UAVs, is a step towards bridging the gap between theoretical concepts and real-world applications.

My professional journey has also been marked by significant achievements in the automotive industry, where I led the integration of novel electric vehicle technologies at Mahindra and Mahindra. This experience was enriched by my initiative in developing MATLAB algorithms to predict vehicle performance, showcasing my ability to innovate within the constraints of the commercial automotive sector.

Driven by curiosity and a zeal for overcoming challenges, my journey so far has been a testament to my belief in the power of technology to create a better future. As I look forward to contributing my skills and experiences to the field of robotics and mechanical engineering, I am excited about the opportunities to push technological boundaries further, exploring new horizons and making meaningful impacts along the way.

This is who I am — an engineer ready to take on the world's most daunting challenges with a toolbox filled with innovation, expertise, and an unwavering passion for robotics.

Sai Madhavan S | Robotics: About
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