A passionate about building intelligent hardware–software systems; from embedded microcontrollers and FPGAs to AI/ML pipelines running on edge devices, cubesats, and drones.

• 🛰 FPGA Development @ Space Concordia
  Designing and implementing hardware pipelines for real-time processing and onboard autonomy.

• 🚀 Software/Hardware Lead — SC-FRYER Cubesat Competition Project
  Leading AI/ML-based wildfire recognition using RGB/NIR imaging for low-power, on-orbit inference.
  Focused on sensor fusion, image pipelines, neural-network quantization, and hardware deployment.

• 🤖 Robotics, Control Systems & Embedded Intelligence
  Building systems that bridge electronics, firmware, and control from motor controllers and sensors
  to high-level autonomy and perception.

• 🔍 Applied AI/ML + Image Processing Research (Concordia University)
  Recently contributed to a research project on rotation-aware object detection in aerial imagery,
  including multi-dataset evaluation (HRSC2016, DOTA, NWPU) and PyTorch implementation
  — as described in my uploaded paper. :contentReference[oaicite:1]{index=1}

• 🧠 Research areas I'm involved/interested in:

  • Aerial & satellite image analysis
  • Oriented object detection
  • Deep learning for onboard systems
  • Signal & sensor processing
  • Applied computer vision
  • Intelligent embedded systems
  • AI for resource-constrained environments (space, robotics, edge devices)

I work across the full stack of intelligent hardware–software systems:

• Embedded Systems & Firmware (C, C++, ARM Cortex, ESP32, STM32, FreeRTOS)
• FPGA Development (Verilog/VHDL, hardware pipelines, DSP, image-processing accelerators)
• Electronics & PCB Design (KiCad, Altium; digital/analog interfaces, sensor boards)
• Robotics & Mechatronics (control systems, actuation, state estimation)
• AI/ML for Edge Devices (quantization, optimization, deployment)
• Computer Vision + Image Processing (OpenCV, PyTorch, RGB/NIR pipelines)
• Aerospace Systems Engineering (embedded autonomy, reduced-power computation)

• Languages: C, C++, Python, Verilog/VHDL, MATLAB, HDL-based tooling
• Frameworks: PyTorch, OpenCV, ROS/ROS2
• Hardware: FPGAs, microcontrollers, SBCs (Raspberry Pi, Jetson), sensors, NIR cameras
• Dev Tools: Git, Linux, Docker, Vivado, MATLAB/Simulink, KiCad
• Other Interests: control theory, competitive programming, spacecraft electronics

• Building robots and real-time systems
• Designing electronics and debugging on the oscilloscope
• Writing clean embedded firmware
• Implementing FPGA accelerators for heavy vision workloads
• Doing AI/ML research on real datasets with real constraints
• Working on anything related to space or aerospace autonomy
• Exploring new ideas at the intersection of hardware, software, and intelligence