Yash Srivastava
Robotics Engineer @ PYRRHUS
About
I build autonomous robotic systems end to end, from data-driven perception and planning to simulation, systems integration, and real-world deployment. My work spans UAVs, AMRs, and multi-robot systems, with hands-on experience using ROS2, PX4/ArduPilot, and modern computer vision and machine learning techniques.Recently, I’ve worked as a Robotics Engineer (GROWTTH) at Freudenberg NOK Sealing Technologies, a Robotics AI R&D Intern with the UPS Advanced Technology Group, and a Systems Engineering Intern at DroneUp. At Georgia Tech, I contributed to building a remotely accessible quadrotor swarm testbed in the Robotarium.I’m currently exploring early-career roles in robotics, autonomy, and applied AI, and I enjoy collaborating on problems that bridge machine learning and real-world robotic systems. If you’d like to connect or chat, feel free to reach out.Personal Website: https://yash14s.github.io/
United States
Atlanta Metropolitan Area
Information Technology & Services
Pixhawk, Deep Learning, Systems Modeling, Motion Control, Linear Algebra, UWB, Embedded Software Programming, MATLAB, Project Management, PX4 Autopilot, Technical Documentation, ArduPilot, Dronekit, Swarm Intelligence, Git, Control Theory, Communication Protocols, Machine Learning, Sensor Fusion, Computer Vision
Experience

Robotics Engineer (GROWTTH)
Cleveland, GA
• Designed and deployed an automated conveyor monitoring system using through-beam sensors and pilot LED alerts, reducing idle time and improving throughput by 25%. • Led development of a Kanban-based inventory monitoring system, owning software development and sensor interfacing, and coordinating hardware integration; reducing the risk of production stoppages.

Graduate Teaching Assistant
Atlanta, Georgia, United States
GTA for the course - Introduction to Robotics Research (AE/BMED/CS/ECE/ME 7785). • Guided students on advanced topics, including ROS2, State Estimation, Object Detection, Sensor Fusion, Path Planning, PID control, Machine Learning, Mobile Robot Kinematics, and Behavior Composition. • Responsible for software framework installation, hardware maintenance for a 45+ Turtlebot fleet, and ensuring continuous operational functionality

Systems Engineer Intern
Virginia Beach, Virginia, United States
• Designed and Implemented a Safe Navigation algorithm (PoC) using PX4-SITL and C++ for UAV autonomy. • Comms Optimization: Led specialist coordination, project streamlining, and successful delivery of custom LTE antennas • Compiled the Requirements Document for DroneUp's V2 platform.

Research Intern
• Developed an Artificial Potential Fields-based algorithm for Collision-Free Autonomous Navigation for Multirotor UAVs. • Achieved successful flights on self-built Hexacopter with Raspberry Pi for compute, Arduino Uno for sensor interface, and ROS for RPi-Arduino communication. • Secured First place in IEEE Photonics Society Project Expo 2021
Education

Robotics
Specialization in Artificial Intelligence, Control Systems, and Perception for Autonomous Robots. Relevant Coursework: Artificial Intelligence Computer Vision Deep Learning Linear Systems and Controls Networked Control Systems Mobile Manipulation Mobile Computing and IoT

Electronics and Computer Engineering
Relevant Coursework: Data Structures and Algorithms, Cloud Computing, Cyber Physical Systems, Machine Learning, Data Communication Networks, Circuit Theory, Digital Logic Design, Embedded System Design, Signals and Systems, Data Analytics and Visualization, Discrete Mathematics, Database Management Systems, Calculus, Statistics
Yash Srivastava's Contact Information
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