Electrical
Engineer

Where there's current, there's creation—and I's the one drawing the path

About Me

Currently working on

Medical AI Systems

I'm a passionate Electrical Engineering undergraduate with expertise in embedded systems, medical AI, and computer vision. My work focuses on creating innovative solutions that bridge hardware and artificial intelligence for healthcare applications.

Medical AI

Computer Vision & Deep Learning

Embedded Systems

FPGA, Microcontrollers

PCB Design

Hardware Prototyping

Control Systems

Automation

Skills & Competencies

Medical AI & Computer Vision

  • Deep Learning for Medical Imaging
  • 3D Image Segmentation
  • ResNet Architectures
  • Medical Data Processing

Embedded Systems

  • Microcontrollers: STM32
  • FPGA Development
  • C, C++, Verilog
  • Embedded System Design
  • Real-Time Integration

Tools & Platforms

  • MATLAB & Simulink
  • Python (PyTorch, TensorFlow)
  • Xilinx, Proteus, ORCAD
  • Visual Studio, LabVIEW
  • Git, Docker
Medical AI Computer Vision Embedded Systems FPGA STM32 C/C++ Python PyTorch

Education

Intermediate (Pre-Engineering)

Scienta Vision System, Islamabad

Mar 2019 – Jun 2021

Grade: A+

Bachelor of Science

Electrical and Electronics Engineering

COMSATS University Islamabad, Pakistan

Aug 2021 – Aug 2025

CGPA: 3.43/4.0

Thesis

Deep Learning-Based Stroke Detection for CT Scans

Research Advisor: Dr. Ghufran Shafiq

Medical AI Computer Vision

Professional Experience

R&D Intern

EME (NUST)

July 2023 – August 2023

Contributed to the design and fabrication of a PCB for a mine detector, enhancing detection accuracy and field safety through innovative embedded systems solutions.

PCB Design Embedded Systems Hardware Prototyping

Simulation Intern

EVSIM

October 2024 – November 2024

Designed and implemented a MATLAB/Simulink-based simulation for Electric Vehicles (Car, Bike, Rickshaw) and delivered an interactive app for calculating EV performance under diverse conditions.

MATLAB Simulink EV Simulation

Featured Projects

Deep Learning-Based Stroke Detection

A final-year research project leveraging ResNet for 3D classification and segmentation of strokes. Collaborated with PIMS and IDC for real clinical data.

Medical AI Computer Vision Deep Learning
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Digital System for Image Convolution on FPGA

Designed a parallel-processing hardware system for real-time image convolution using Verilog on Nexys 2 FPGA board. Demonstrated application of embedded hardware in computer vision.

FPGA Verilog Image Processing

Motorbike Monitoring System Using ESP32

Developed a smart keyless bike system featuring real-time fuel monitoring and safety checks. Combined mobile app integration (MIT App Inventor and Blynk) with embedded systems.

IoT ESP32 Blynk

EV Simulation Project

Developed comprehensive MATLAB/Simulink models for electric vehicles (cars, bikes, rickshaws) during my internship at EVSIM. Created interactive simulations for performance analysis under various conditions.

MATLAB Simulink EV Simulation
Learn more

Get In Touch

Location

Islamabad, Pakistan

Email

maab.khattak31@gmail.com

Phone

+92 333 5032075

Connect With Me