Systems Integration Engineer
August 2025 — Present
OTTO by Rockwell Automation
Location: Fort Wayne, Indiana
Systems integration and automation solutions for industrial robotics and autonomous mobile robots
Hi! I'm Vishnu Mandala, a Systems Integration Engineer at OTTO by Rockwell Automation in Fort Wayne, Indiana. I hold a Master's in Robotics Engineering from the University of Maryland, College Park. My expertise lies at the intersection of robotics, artificial intelligence, and autonomous systems, focusing on perception, planning, and control.
I have developed intelligent robotic systems using ROS/ROS2, designed deep learning-based AI solutions, and implemented reinforcement learning algorithms for navigation and decision-making. My experience spans mobile robotics, manipulators, autonomous navigation, and industrial automation, with a strong foundation in robot modeling, simulation, and embedded systems.
My work has been instrumental in projects such as autonomous robot navigation, industrial automation, AI-driven perception systems, and adaptive control algorithms, leveraging tools like PyTorch, TensorFlow, OpenCV, and SLAM frameworks. I am passionate about building efficient, scalable, and intelligent robotic solutions that push the boundaries of automation and real-world deployment.
Python
95%
Jupyter Notebook
80%
C++
70%
CMake
65%
Shell
50%
MATLAB
60%
CSS
40%
HTML
40%
JavaScript
40%
Ruby
30%
LIDAR
65%
ROS/ROS2
85%
SolidWorks
70%
OpenCV
80%
TensorFlow/Keras
70%
PyTorch
65%
SLAM
80%
Gazebo
75%
PID Control
70%
Kalman Filtering
70%
CARLA Simulator
50%
Raspberry Pi
65%
My core languages for software development, robotics, and AI applications.
My preferred tools for machine learning, deep learning, and data analysis.
Essential frameworks for robotics development, simulation, and computer vision.
Essential tools for documentation, collaboration, and content creation.
Essential tools for version control, development environments, and build systems.
Tools for mechanical design, FEA analysis, and 3D modeling.
OTTO by Rockwell Automation
Location: Fort Wayne, Indiana
Systems integration and automation solutions for industrial robotics and autonomous mobile robots
RoBuildX Inc. (Remote)
Developed parametric URDF/XACRO models for the Roofie wall-panel placer, integrated MoveIt2 pipelines, and achieved sub-10 mm placement accuracy in Gazebo simulations
Ported Gazebo sensor and actuator plugins to ROS2 and built automated test frameworks to validate trajectories, safety interlocks, and refine control parameters — cutting commissioning time by 30%
Designed an upper-rail–mounted gripper control and payload attachment kit for a purchased 500,kg AMR; integrated CANbus I/O, e-stop circuitry, and HIL tests, then fused LiDAR + IMU + AprilTag data with Nav2 planners for reliable dynamic navigation
Liaised with clients, project managers, and AMR vendors to scope deployments, customize platforms, and author quick-start and troubleshooting guides for Tier-3 support
Department of Mechanical Engineering, University of Maryland
Delivered hands-on instruction in SolidWorks and Autodesk Inventor to over 600 students, improving design accuracy by 25% through advanced CAD lectures, targeted feedback, and collaboration with faculty on grading and assessments
Conferences and Visitor Services, University of Maryland
Directed linen operations across 120+ programs, implementing a custom database to maintain 100% inventory tracking accuracy, achieve a 50% cost reduction, boost efficiency by 30%, and supervise a team of 25 members
University of Maryland, College Park, MD
GPA: 3.91/4.0
Coursework: Perception and Planning for Autonomous Robots, Robot Modeling and Controls, AI and Deep Learning, Reinforcement Learning, Manufacturing Robotic Systems, Rehabilitation Robotics
Mahatma Gandhi Institute of Technology, India
GPA: 7.84/10
Coursework: Kinematics and Dynamics of Machinery, Robotics and Automation, CAD/CAM, Finite Element Methods, Motion Control Design, Switching Theory and Logic Design, Microprocessors and Microcontrollers, Fundamentals of IoT, MEMS, Material Science, Automotive and Manufacturing Processes, Automobile Engineering, Operations Research