Computer Science & Engineering Student @ BRAC University

Abdullah Al Fahad

Bridging the gap between high-level machine intelligence and low-level system performance. Specializing in hardware-software co-design and scalable AI frameworks.

Focus: █

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Focus

AI/ML + Systems + IoT

Location

Dhaka, Bangladesh

abdullah.al.fahad2@g.bracu.ac.bd

~/engine/profile

> cat profile.json

{ "role": "Systems & AI Engineer", "location": "Dhaka, BD", "focus": ["Kernel Dev", "Computer Vision", "IoT Architecture"], "status": "Available for Research/Internship" }

> run diagnostics

System state: Operational

Professional Summary

"I build at the intersection of machine intelligence and system-level performance. My goal is to optimize the software-to-hardware pipeline for the next generation of intelligent systems."

I'm a Computer Science & Engineering student at BRAC University passionate about building practical, real-world systems using AI/ML, embedded IoT, and software engineering. I enjoy working across the stack, from training deep learning models for healthcare applications to designing sensor-driven safety systems with microcontrollers. Whether I'm implementing OS-level concepts in xv6, developing full-stack solutions, or building OpenGL-based projects, my focus is always the same: write clean, reliable code and turn ideas into working products.

Domain Competencies

Categorized expertise across the technical stack.

Intelligence & Vision

Architecting and training neural networks for complex classification and segmentation.

PyTorch TensorFlow OpenCV CNNs/U-Net Scikit-learn

Systems Programming

Kernel-level development, memory management, and filesystem architecture.

C / C++ xv6 RISC-V Journaling FS Assembly POSIX API

Embedded IoT

Hardware-software co-design and low-latency sensor integration.

ESP32 STM32F446RE Arduino I2C/SPI/UART Sensor Fusion

Project Showcase

High-impact projects across AI/ML, systems programming, embedded IoT, and computer graphics.

Systems Programming

Kernel Dev

xv6 Lottery Scheduler

Modified the xv6-RISC-V kernel to support proportional-share scheduling. Redesigned context-switching logic to ensure statistical fairness and process prioritization.

View Implementation

File Systems

VSFS Metadata Journaling

Architected a block-based filesystem in C with Write-Ahead Logging (WAL). Developed a comprehensive consistency checker to prevent data corruption during crashes.

Core Logic

Assembly

Low-Level Inventory Engine

A management system built in 8086 Assembly. Implemented data structures and transaction logic by direct manipulation of CPU registers and memory addresses in emu8086.

View Code

Artificial Intelligence & ML

Image Processing

NeuroSeg: Medical Vision

Implemented Attention U-Net and Joint Learning for brain tumor segmentation on the BRISC dataset. Balanced Dice-coefficient accuracy with inference speed.

View Model

Deep Learning

Deep CNN (CIFAR-10)

High-performance CNN with VGG-style architecture using PyTorch. Implemented advanced data augmentation and automated evaluation pipelines for image classification.

View Model

AI / ML

Predictive Health Analytics

Machine learning models for disease classification using clinical patient data. Optimized for recall and precision to support early diagnostic decision-making.

View Model

Embedded Systems & IoT

IoT / Arduino

SafeCycle

Smart safety system for two-wheelers using Arduino. Features crash monitoring, GPS tracking, and collision warnings via sensor fusion.

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IoT / ESP32

Vehicle Accident Prevention

ESP32-based safety system detecting alcohol and smoke. Automatically disables ignition and sends SOS alerts with GPS location via Telegram.

View Project

Computer Graphics

OpenGL

StarWay Survivor

3D space shooter built with Python and PyOpenGL. Features complex particle systems, boss AI, explosions, and fuel management.

Source Code

OpenGL

3D Interactive Chess

3D chess environment using Python and PyOpenGL. Implemented move validation algorithms and responsive interactive board rendering.

Source Code

Connect With Me

Open to collaborations in AI research, systems engineering, and embedded development.

Contact Information

Reach out via professional networks or copy my email address for inquiries regarding internships or technical projects.

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