Shrishgovind Revankar

Embedded Systems & Electronics Engineer

Passionate and driven engineer with a strong background in embedded systems, electronics, and automotive technology. Proven ability to develop innovative solutions and improve efficiency.

Shrishgovind Revankar

Education

Master of Science, Computer Engineering

Stevens Institute of Technology | Hoboken, NJ

Expected May 2026

Concentration: Embedded Systems

Bachelor of Engineering, Electronics Engineering

Fr. Conceicao Rodrigues College of Engineering | Mumbai, India

May 2022

Experience

Research & Development Engineer

Tork Motors Pvt. Ltd. | Pune, India

June 2022 - May 2024

At Tork Motors, an electric motorcycle company, I worked as part of the R&D team on projects spanning vehicle control systems, cluster development, testing automation, and compliance certification. My work contributed to improving efficiency, reliability, and scalability of production-ready EV systems.

Key contributions included:

  • Hardware-in-Loop System: Designed and deployed a HIL system, using a Renesas-based automotive-grade controller for the Vehicle Control Unit, cutting testing time in Quality Control and improving production efficiency by 20%, while adding encryption for better data security and traceability.
  • Automotive Clusters: Built an automotive cluster prototype on Raspberry Pi with a TFT display (Python-based), relaying real-time CAN data for vehicle monitoring.
  • Fleet-Adaptable Software: Developed production cluster firmware on a Renesas-based automotive-grade controller, which is adaptable to multiple 3-wheeler variants, improving system efficiency by 10%.
  • Testing Automation: Initiated a .NET Framework based proprietary CAN test automation tool, boosting testing efficiency by 30% and enabling broader test case coverage.
  • Compliance & Reliability: Assisted with EMI/EMC compliance testing at ARAI, diagnosing interference issues and implementing design improvements to ensure certification readiness.

This role strengthened my expertise in embedded systems, automotive electronics, compliance testing, and production optimization, while giving me hands-on exposure to scaling innovations for the electric mobility industry.

Intern

Kalyani Powertrain Pvt. Ltd. | Pune, India

January 2022 – February 2022

During my internship with the E-Mobility division at Kalyani Powertrain, I worked on the research and evaluation of battery thermal management systems, a critical component in electric vehicle performance and safety. I gained firsthand exposure to the design and development process of an electric vehicle project, learning how different engineering disciplines integrate to bring a concept to life. This experience deepened my understanding of the end-to-end EV development cycle, from component-level research to system-level integration, and strengthened my knowledge of the thermal and electrical challenges in e-mobility solutions.

Electronics Head

CRCE Formula Racing | Mumbai, India

March 2019 - September 2021

As part of CRCE Formula Racing, a Formula Student team, I led the electronics and powertrain development for our racecar that competed at Formula Bharat, a national-level engineering design and racing event. My work spanned across vehicle wiring, data acquisition, safety systems, and transmission automation.

Key contributions included:

  • Engine & Electrical Systems: Wired and integrated the new engine, designed the air intake system, and optimized the electrical system for performance and reliability.
  • Data Acquisition & CAN Integration: Developed a real-time data acquisition system using CAN tools to monitor engine and vehicle performance.
  • Semi-Automatic Transmission: Engineered a DC motor–based actuation system that converted the manual sequential gearbox into a semi-automatic transmission, reducing lap times.
  • Safety Innovations: Built an analog safety device using comparators and a timer IC to shut down the engine if both brakes and accelerator were pressed together, automatically resetting after 10 seconds for driver protection.

This experience sharpened my skills in embedded systems, automotive electronics, control systems, and motorsport engineering, while also teaching me the value of teamwork and innovation under competitive conditions.

Projects

Conversion of a Sequential Gearbox into a Semi-Automatic Transmission

December 2019

I engineered a system to convert a racecar’s sequential manual gearbox into a semi-automatic transmission. By integrating a DC motor with the gearbox, the system automated gear shifts while retaining driver control. This modification reduced the time lost during manual shifting, resulting in improved lap times and more consistent race performance. The project highlights my expertise in mechatronics, control systems, and motorsport engineering, showcasing how embedded actuation and smart automation can directly translate into competitive performance gains.

IoT-Based Data Acquisition System

April 2020

I developed an IoT-enabled data acquisition system for a racecar that collects data from onboard sensors and the CAN network. The system broadcasts this data wirelessly, enabling engineers to monitor performance in real time during races and testing. By integrating IoT communication with automotive -grade sensors, it provided actionable insights into vehicle dynamics, engine performance, and driver behavior. This project showcases how IoT and embedded systems can be applied to motorsports engineering, bridging the gap between high-performance hardware and real-time analytics for improved decision-making and competitive advantage.

Sign Language Detection Using Machine Learning

May 2021

I built a real-time sign language detection system using a Raspberry Pi and camera module to improve accessibility for the hearing-impaired community. The system uses computer vision and machine learning models trained on image datasets to recognize hand gestures and classify them into corresponding sign language characters or words. By running the models directly on the Raspberry Pi, it provides a low-cost, portable, and real-time solution that can bridge communication gaps without the need for expensive hardware. This project highlights my skills in machine learning, computer vision, and embedded systems, while demonstrating how technology can be applied to create inclusive solutions with real-world social impact.

Adaptive Noise Cancellation Using LMS Filter Algorithm

October 2021

I built an adaptive noise cancellation system that uses the Least Mean Square (LMS) algorithm to filter out unwanted background noise from audio signals. The system adapts in real time, learning from the input signal to minimize interference while preserving the quality of the original music. This project demonstrates how digital signal processing (DSP) techniques can be applied to enhance audio clarity in noisy environments, with applications in headphones, hearing aids, and communication systems.

Robotic Nurse

April 2022

I designed and built a robotics solution that acts as a “nurse assistant” to safely deliver food, medicine, and essentials to patients in quarantine zones or hospitals. The robot is equipped with IoT connectivity, enabling healthcare staff to dispatch tasks remotely and monitor real-time status updates. This project highlights how IoT and robotics can minimize human-to-human contact, protect healthcare workers, and improve patient care efficiency. It demonstrates not only my technical expertise in embedded systems, IoT communication, and robotics control but also my ability to design solutions that solve real-world healthcare challenges.

Real-Time Virtual Apparel Simulator

May 2022

I developed a real-time virtual apparel simulator using a Kinect sensor to create an interactive dressing room experience. The system captures a user’s body movements and overlays 3D-rendered clothing onto their live image, allowing them to virtually try on different outfits without physically changing. By leveraging depth sensing, motion tracking, and computer vision, the simulator provides a seamless and engaging shopping experience. This project demonstrates my ability to integrate human-computer interaction, 3D simulation, and sensor technologies to build innovative solutions with applications in retail, fashion tech, and immersive customer experiences.

Ploonty - Smart Plant

April 2025

Ploonty – Smart Plant was developed during an NJIT Hackathon, where our team designed a system that takes the stress out of plant care. Equipped with soil moisture sensors and a rainwater reservoir, Ploonty doesn’t just tell you when your plant is thirsty — it waters it automatically using stored rainwater. With IoT-based remote monitoring, it provides peace of mind and sustainability by reducing water waste. This project reflects my ability to ideate, prototype, and deliver functional IoT solutions under time constraints, while combining automation, sustainability, and user experience into one cohesive product.

Smart Home & Security Projects

May 2025

As part of the CPE‑556 course, I developed multiple embedded systems applications using the B‑U585I‑IOT02A development board. Projects included a smart home monitoring system with IoT-enabled sensors for temperature, humidity; and a home security system using an ultrasonic sensor and a 4×4 matrix keypad. These projects demonstrate my ability to design, program, and integrate embedded hardware with software, handle sensor data acquisition, and implement real-time system control while showcasing practical IoT applications.

Skills

Programming & Software Development

  • Embedded C
  • C++
  • Python
  • .NET Framework

Embedded Systems & Firmware:

  • Firmware Development
  • Bare-Metal Programming
  • .NET Desktop Application
  • CAN-Based Diagnostics
  • Production Code Development
  • Internet of Things

Microcontrollers & Platform

  • Renesas Microcontrollers
  • STM32
  • Raspberry Pi
  • Arduino
  • ESP
  • Xilinx

Communication Protocols:

  • CAN (Controller Area Network)
  • SPI
  • I2C
  • UART
  • Wi-Fi
  • Bluetooth

Tools & Development Environment

  • Arduino IDE
  • Renesas CS+
  • Proteus
  • KiCAD
  • CAN Busmaster
  • Peak CAN
  • Cadence
  • Visual Studio
  • SolidWorks
  • Keil uVision5
  • LTSpice
  • Vitis & Vivado (FPGA)
  • Logic Analyzer
  • OBD2 Scanner

Hardware Skills

  • Wire & PCB Soldering
  • Signal Debugging
  • PCB Designing
  • Waveform Generator
  • Oscilloscope
  • EMI/EMC Testing

Contact

Feel free to get in touch regarding opportunities or collaborations.

Resume