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The journey so far

Industrial and Academic Experience

ELTRA Electric Trailers (March 2024 – January 2025)
Founding Project Engineer - Mechatronics | San Francisco, CA, USA

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  • Designed and built the first full-scale prototype of the Electric Pusher Trailer Unit, enabling extended EV range and alleviating range anxiety.

  • Led the design and FEA analysis of the vehicle frame in Onshape, procuring and integrating components such as Ford F-150 axles, UQM motors, BorgWarner differentials, and custom CODA EV parts.

  • Engineered a custom cooling system and low-voltage system to power peripherals, including VCU, BMS, cooling, sensing, and signaling systems.

  • Developed a CAN sniffer to monitor VCU-inverter communication, spoofed throttle signals for testing, and enabled remote control via SSH.

  • Conducted MATLAB simulations and sensitivity analyses to guide the selection and validation of motors, inverters, and BMS components.

  • Achieved a road-tested prototype, resolving system integration challenges and conducting ongoing refinements.

 

Mahindra & Mahindra (March 2021 – June 2022)
Assistant Manager - Vehicle Integration and Prototyping | Pune, India

Electric Vehicle (EV) Pick-Up Truck Development

  • Performed subsystem packaging for the EV Pick-Up Truck [1.5–2.10 Tonne], focusing on manufacturability, platform part interchangeability, and assembly efficiency using CATIA.

  • Overcame supply chain challenges by integrating standardized IC vehicle components into the EV platform, optimizing battery placement, thermal management, and powertrain integration.

  • Conducted benchmarking and teardowns to recalibrate performance metrics, while developing MATLAB algorithms for cargo weight estimation and fuel efficiency prediction.

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P112/P113 Pick-Up Truck Prototype Build

  • Reduced build time by over 70% for mule builds, addressing brake line fouling, engine mounting misalignments, and fit-and-flush inconsistencies.

  • Directed manual assembly and documented critical build issues, streamlining subsequent build cycles.

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XUV700 SUV Production Ramp-Up

  • Enhanced NVH performance by optimizing robotic mastic sealant applications, reducing drumming noise, and improving vibration characteristics.

  • Resolved door closure issues by optimizing hinge stiffness, manufacturing processes, and riveting angles for reproducibility.

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Johns Hopkins University - Whiting School of Engineering (March 2023 – May 2024)
Graduate Research Assistant : Dynamical Systems and Controls Laboratory | Baltimore, USA

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  • Integrated sensors and actuators into the ROS framework for JHU ROV2, a deep-sea navigation vehicle.

  • Implemented Extended Kalman Filters to fuse data from Quartz Depth Sensors and Phins INS Systems for precise navigation and control.

  • Played a pivotal role in preparing JHU ROV2 for its first water tests.

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Mahindra University (Nov 2020 – Feb 2021)
Project Assistant | Hyderabad, India

 

  • Designed and developed a vanadium-based Redox Flow Battery stack, reducing costs by 60% for energy storage research.

  • Secured a patent [Patent No. 202041048937] for the modular, low-cost battery design.

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Mahindra University (Aug 2019 – Sep 2020)

Team Lead, Autonomous Underwater Vehicle (AUV-MEC)

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  • Spearheaded the design of Telangana’s first AUV, achieving a 60% cost reduction and completing development in 8 months.

  • Presented research at OCEANS 2021: San Diego - Porto, detailing the V-cycle model for mechanical design and system integration.

 

Specialized Projects


Control, Estimation, and Actuation

  • Developed mathematical models for UR5 robot kinematics and implemented simulations using C++ and RViz.

  • Designed and validated a Probabilistic Roadmap (PRM) path planner for UR5 robots, integrating advanced algorithms for vertex generation and graph optimization.

  • Created particle filters for mobile robot localization and implemented EKF for rugged terrain navigation with Clearpath Jackal robots.


High-Fidelity UAV Modeling

  • Built 6DOF simulation models for fixed-wing aircraft and UAVs using MATLAB and Simulink.

  • Designed PID controllers and rate feedback systems for autopilot optimization.

  • Implemented sensor models and Extended Kalman Filters to refine UAV navigation and state estimation.

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