Education

Aug '22 - May '24
M.S. in Robotic and Autonomous Systems | Arizona State University, Tempe, AZ — I have completed my M.S. in Robotics and Autonomous Systems, specializing in AI. During this time, I had the privilege of volunteering at the Logos Robotics Lab under the mentorship of Professor Nakul Gopalan. This journey deepened my expertise in robotics, automation, and AI-driven solutions, equipping me with the skills to tackle real-world challenges in autonomous systems.

Jul '18 - Mar '22
B.Tech in electronic and communication engineering | KLU Guntur, India — Recognized for Technical Excellence in the Department of Electronic and Communication Engineering with a specialization in Robotics and Automation at KLU, I graduated with an impressive 86.6% and secured a prestigious silver medal in the National Level Mobile Robotics Competition organized by NSDC.
Work

Oct '24 - Present
Software Development Engineer | Blueflite, Detroit, MI
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Develop and implement firmware for UAV systems, focusing on STM32 microprocessors and UAVCAN communication protocols. Contribute to machine learning models for health monitoring and autonomous navigation. Lead the optimization of path-planning algorithms, enhancing decision-making efficiency. Collaborate with cross-functional teams to integrate sensors and hardware for seamless UAV operations in dynamic environments.

Aug '22 - May '24
Graduate Research Volunteer (Logos Lab) | Arizona State University, Tempe, AZ
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Collaborated on human-robot interaction research, focusing on mobile robotics. Designed frameworks where robots assist humans in repetitive or physically demanding tasks while enhancing overall system productivity. My contributions helped develop adaptive solutions for safe and efficient human-robot collaboration, advancing their application in industrial environments.

May '23 - Aug '23
R&D UAV Intern | Hylio, Richmond, TX
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Developed a robust software tool managing over 2,000 parameters across various drone models, streamlining workflows and enhancing drone performance. Optimized Ground Control Station functionalities, resolving critical issues, and improving efficiency by 20%. Advanced firmware development by implementing the Dijkstra Path-Planner, achieving 95% optimization and significantly enhancing navigation in complex terrains. Conducted rigorous testing to ensure seamless UAV operations at scale.

May '20 - Jun '20
UAV Intern | Magnum Wings, Guntur, India
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Enhanced UAV software for forest monitoring by developing precise flight maneuvers and data collection routines. Debugged critical issues in the Pixhawk flight controller and optimized ArduPilot configurations. This hands-on experience solidified my technical expertise and teamwork skills, bridging the gap between design and real-world deployment.
Certification

ROS1 | Udemy
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Certified in ROS 1 Basics, Motion Control, and OpenCV on Udemy , Acquired essential skills in the Robot Operating System (ROS) framework, including foundational concepts, motion control techniques, and computer vision integration using OpenCV. Proficient in developing and programming robots for diverse applications.

Python Data Structures | coursera
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Certified in Python Data Structures on Coursera , Mastery of essential data structures and algorithms in Python, gained through a comprehensive online course. Proficient in implementing and utilizing arrays, lists, stacks, queues, trees, and graphs to solve complex problems and optimize code.

Python | coursera
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Certified in Python on Coursera, Acquired foundational knowledge of Python programming, including syntax, data types, control structures, and basic problem-solving skills. Proficient in writing and executing Python code for various programming tasks and applications.

PCB design with Eagle | Udemy
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Certified in PCB Design with Eagle on Udemy, Mastery of the Eagle PCB design software through comprehensive online courses, covering schematic capture, component placement, routing, and manufacturing considerations. Proficient in creating professional-grade printed circuit boards for various electronic applications.

Computer Vision and Image Processing in LabVIEW | Udemy
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Certified in Computer Vision and Image Processing with LabVIEW on Udemy, Acquired expertise in harnessing LabVIEW’s powerful tools and techniques to process and analyze images and videos. Proficient in designing and implementing computer vision applications for real-world scenarios, enhancing skills in image processing, object detection, and machine vision.

Certified LabVIEW Developer (CLD) | National Instruments
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Certified LabVIEW Developer (CLD) by NI, Achieved proficiency in National Instruments’ LabVIEW programming environment, demonstrating expertise in developing and optimizing advanced automation and measurement solutions. Skilled in creating efficient, reliable, and scalable software applications for diverse engineering and scientific applications.

Certified LabVIEW Associate Developer (CLAD) | National Instruments
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Certified LabVIEW Associate Developer (CLAD) by National Instruments (NI), Demonstrates proficiency in using LabVIEW software for creating, testing, and deploying measurement and automation applications. Skilled in developing custom solutions to streamline data acquisition and analysis processes.