My Work Experience

August 2024 - Present

Embedded Systems Lead - Ontario Tech Racing

  • Led a team of 6; organized meetings, built Notion workspaces, defined documentation structure, coding standards, and naming conventions.
  • Developed the ECU in Simulink for Dana TM4 Neuro 200; processed throttle and brake analog signals using linear mapping and sent control commands via CAN bus.
  • Created CAN DBC files with prioritized structured messages; implemented stateflow logic for critical safety checks to initiate emergency shutdown.
  • Debugged and tested ECU and AMS software; AMS monitors cell voltages, current, and temperature using NXP and triggers shutdown/balancing based on thresholds.
  • Built dashboard using Nextion display and ESP32; fetched CAN data from ECU, displayed it locally and over Wi-Fi using Async Web Server, REST API, and AJAX.
  • Verified analog and CAN signals using oscilloscope; used Kvaser Leaf Light and BusMaster to monitor, debug, and validate CAN communication.

November 2024 - Present

Software Engineer - Ontario Tech Space and Rocketry

  • Designed and built a camera mount tracking system using GPS and altitude data from the avionics bay, received via RFD900ux transceiver.
  • Parsed live telemetry data to calculate vector from mount to rocket in real-time; adjusted mount orientation accordingly using two 3D printer stepper motors.
  • Controlled the tracking system with an Arduino Nano and used a Hall effect sensor for initial camera position calibration and feedback.
  • Enabled automated launch tracking and video capture by synchronizing mount motion with rocket trajectory.
  • Contributed to design improvements for Flare ground station software; implemented GPS plotting and enhanced live telemetry visualization.

July 2024 - Present

Software Team Lead - Aerecon

  • Developed an object and face detection system using TensorFlow and YOLO; processed live footage from ESP32-Wrover-CAM and recorded video via Raspberry Pi.
  • Integrated Neo M9N GPS module and parsed NMEA format data for real-time position tracking.
  • Calibrated and used MPU6050 IMU for orientation; transmitted data via nRF24 and visualized drone orientation and acceleration using custom Python scripts.
  • Controlled brushless motors using PWM signals with ESCs; implemented PID control loop for flight stabilization.
  • Prototyped control and communication systems using STM32 F446RE and ESP32 for modular drone system development.

My Projects

Computer Vision

    Made with:

  • Built a 2-axis camera gimbal system using ESP32 and servo motors to track and center a user in the video frame.
  • Developed a Python script with a PID control loop to calculate positional error and send servo commands to ESP32 via UART.
  • Implemented real-time face and object detection using YOLO, TensorFlow, and OpenCV through a globally running Python process.
  • Created a GUI application using Python and Tkinter for visualization and manual override of gimbal controls.
  • Enabled automatic camera orientation adjustment based on real-time object positioning, achieving smooth and responsive tracking.

    • Code

    Reflow Oven Project

      Made with:

  • Developed HMI using Nextion Editor to display live sensor and thermistor values.
  • Programmed PID control system for accurate temperature sensing and calibration.
  • Implemented UART, SPI, and I2C protocols for communication between STM32 and peripheral components.
  • Controlled reflow oven temperature using relay modules driven by PID output.
  • Built web interface using Async Web Server and REST API for remote control and monitoring via ESP32.
  • Utilized AJAX and Fetch API for real-time, asynchronous data retrieval and display.

    • Code

    FSAE Car Dashboard

      Made with:

  • Developed HMI using Nextion Editor to display speed, torque, battery temperature, voltage, gyroscope, and GPS coordinates.
  • Designed an ESP32-based dashboard that receives real-time sensor data from the car’s ECU via CAN bus.
  • Built a web interface using Async Web Server and REST API to monitor vehicle data remotely.
  • Implemented AJAX and Fetch API for real-time, asynchronous data updates from the ESP32.

    • Code

    Pan Tilt Mount

  • Built GPS-based tracking mount to follow rocket trajectory using real-time data from avionics bay via RFD900ux.
  • Parsed telemetry data and calculated vector from mount to rocket based on GPS and altitude.
  • Controlled 2-axis movement using stepper motors and Arduino Nano; used Hall effect sensor for position calibration.
  • Enabled autonomous tracking and video capture of full rocket launch.

    • Code

    ECU

  • Developed ECU model in Simulink for Dana TM4 Neuro 200.
  • Mapped throttle and brake analog inputs using linear equations (y = mx + b) to output percentage values.
  • Sent control commands to the inverter via CAN bus; created structured DBC files to prioritize messages.
  • Implemented safety checks using Stateflow to trigger emergency shutdowns under fault conditions.
  • Verified analog and CAN signals using an oscilloscope; debugged CAN communication using Kvaser Leaf Light and BusMaster.

    • Buzz Me In

  • Programmed ESP32 to control a servo motor, rotating from 90° to 32° to physically press a button in response to a buzzer sound or remote command.
  • Integrated analog sound sensor to detect buzzer activation and trigger servo movement automatically.
  • Connected system to Blynk IoT platform for global remote access and manual control via mobile app.
  • Enabled real-time control and monitoring of physical access using both sound-based automation and internet-based interaction.
  • Demonstrated skills in embedded system development, sensor integration, and IoT-based automation.

    • Technical Skills

    My Education

    2022

    Ontario Tech University - Bachelor of Science

    • Major in computer science

    Contact Me

    Email

    info@jaspartapgoomer.com

    GitHub

    Jaspartap Goomer

    LinkedIn

    Jaspartap Goomer

    Contact Me!