Experience

My Top Skills

Always nice to hone existing skills and develop new ones!

  • Languages: Python, C/C++, Java, VHDL, Verilog, SystemVerilog, BASH, HTML
  •  Libraries/Frameworks: LangChain, LangGraph, PyTorch, Tensorflow, NumPy, Pandas, Matplotlib, Jupyter, SQLAlchemy
  • Developer Tools: GCP, Docker, Kubernetes, Postman, Swagger, MySQL, MongoDB, Grafana, Redis, Git, GitHub
  • Hardware Design Tools: Altium Designer, Xilinx, Intel Quartus Prime, ModelSim, MATLAB, Simulink, LTSpice
  • Hardware Skills: Embedded Systems, Circuit Design, PCB Design, FPGA Design, Digital Logic, Microcontrollers
    (Arduino, ESP32, STM32), Motor Control (O-Drive), Serial Communication (UART, SPI, I2C, CAN, USB), Soldering

Work Experience

09/2023 - Present

McGill Robotics

System Manager

  • Lead a 10-member team managing frame and power systems, improving task completion efficiency by 30%.
  • Assigned and tracked 15+ tasks per month, ensuring balanced workloads and timely project delivery.

Electrical Engineering Member

  • Developed STM32 firmware in C for CAN-based communication, reducing signal delay from 10ms to 3ms.
  • Engineered a custom remote kill switch using ESP32 microcontrollers in C++, reducing emergency response time from 5 seconds to under 1 second.
  • Designed custom PCBs for the RX kill switch and TX controller using Altium Designer, ensuring consistent voltage cutoff under high-power loads.
  • Assembled 20+ high-precision PCBs, achieving a 95% first-pass success rate in functional testing.
  • Designed custom Python scripts on an NVIDIA Jetson GPU to coordinate real-time communication with 20+ hardware components, enhancing system synchronization and responsiveness.
  • Created custom Python, C, and C++ debugging libraries to assist 50+ robotics members in software-hardware integration, reducing troubleshooting time by 40% through automated error detection.
09/2024 - Present

McGill AI Labs

Machine Learning Member

  • Built and mathematically derived logistic and softmax regression models for MNIST digit classification using a dataset of 60,000+ training images, achieving a 98%+ accuracy on test data.
  • Developed and fine-tuned neural networks and convolutional neural networks in PyTorch and Tensorflow, enhancing performance through dropout and batch normalization techniques.
  • Identified key performance bottlenecks using Matplotlib visualizations, improving model convergence rates.
05/2024 - 08/2024

Biomomentum Inc.

Embedded Systems Intern

  • Developed Python firmware for the MACH-1 Medical Tester and Arthro-Probe, reducing signal processing time from 100ms to 30ms, enabling faster orthopedic diagnostics.
  • Wrote and optimized custom VHDL code for Spartan FPGAs in Xilinx, enhancing real-time data acquisition reliability, reducing processing errors, and increasing acquisition speed by 15%.
  • Programmed FPGA interfaces in VHDL for ADS1298 ADCs and LSM9DS1 IMU, creating custom SPI, I2C, and UART modules that allowed data transmission for real-time electrical signals and motion tracking.
  • Designed and optimized real-time data acquisition pipelines to process high-frequency sensor inputs, improving system responsiveness and diagnostic accuracy by 67%.
  • Verified 20+ medical PCBs, identifying and resolving critical signal integrity issues before deployment.
01/2024 – 12/2024

Marianopolis College

Teacher Assistant

[Fall 2024]:
• Graded Professor Baharak Fatholahzadeh’s Waves, Light, and Modern Physics College class.
• Topics include: Oscillatory Motion, Wave motion, Sound Waves, Superposition and standing waves, Ray Optics, Image Formation, Interference of waves, Diffraction, Relativity, Quantum Physics, Nuclear Decay, The Optics of the Compound Microscope

[Winter 2024] :
• Graded Professor Baharak Fatholahzadeh’s Electricity and Magnetism College class.
• Topics included: Electric Fields, Electric Potential, Capacitance and dielectrics, Direct current circuits, Magnetic Fields and Sources, Faraday’s Law and Inductance, Continuous Distribution of Charge

Education

09/2023 - Present

McGill University

Bachelor of Electrical Engineering

  • GPA: 3.8/4.0
2021 - 2023

Marianopolis College

Health sciences

  • Dean’s List both years enrolled.

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