I'm a recent Mechatronics Engineering graduate from McMaster University with a passion for robotics, embedded systems, and applied machine learning.

I enjoy building projects that connect hardware, software, and data — from embedded controllers and robotic systems to machine learning pipelines and factory automation tools, all with one focus functionality and purpose.

• Languages: C, C++, Python, Bash, JavaScript (Google Apps Script)
• Embedded & Robotics: STM32 / ARM Cortex-M, ESP32-S2, UR robots, real-time systems
• ML & Data: PyTorch / TensorFlow, NumPy, Pandas, computer vision, audio classification, image classification
• Tools: Git, Linux, MATLAB, Simulink, Power BI, Smartsheet, Autodesk Inventor

Infant wellness monitoring prototype combining a wearable sensing node, ESP32-based dock, analytics backend, cry classification pipeline, and caregiver-facing dashboard.

• Built a two-stage audio classification pipeline for cry/not-cry detection and cry reason classification
• Integrated embedded system design concepts including BLE, Wi-Fi, sensors, and REST API communication
• Developed project documentation covering system requirements, hazard analysis, system design, and prototype workflow

Tech: Python, PyTorch, FastAPI, ESP32, nRF SoC, BLE, REST API

Computer vision project that classifies fish freshness from fish eye images using the Freshness of Fish Eyes dataset.

• Trained and evaluated custom CNN and ResNet18 transfer learning models
• Improved test accuracy from a custom CNN baseline to a final ResNet18 model
• Used Grad-CAM visualizations to confirm model attention on biologically relevant eye regions

Tech: Python, PyTorch, Torchvision, Pandas, Scikit-learn, Grad-CAM

Embedded systems project implementing a multi-mode cardiac pacemaker and external Device Controller-Monitor.

• Developed pacemaker control logic in MATLAB Simulink/Stateflow
• Implemented programmable pacing modes including AOO, VOO, AAI, VVI, rate-adaptive modes, and DDDR
• Built a Python DCM with GUI, SQL-backed parameter storage, and UART-based communication

Tech: MATLAB, Simulink, Stateflow, Python, UART, SQLite, FRDM-K64F

I'm currently strengthening my skills in:

• Robotics software development and design
• ROS 2 and Linux-based robotics workflows
• Embedded systems and sensor integration
• Applied machine learning for real-world systems

• LinkedIn: www.linkedin.com/in/faraazahmed2003