WEB DEVELOPER · EEE STUDENT · AI & ROBOTICS

Driven by Curiosity, Building Intelligent Systems

I'm an Electrical and Electronic Engineering student at CUET with approximately six years of experience in web development. Having spent years building for the web, I'm now expanding into artificial intelligence, reinforcement learning, robotics, and intelligent control systems — combining software development with engineering fundamentals to build systems that solve meaningful real-world problems.

Currently exploring: Reinforcement Learning, Robotics, Deep Learning & Embedded Systems

Md. Shahdath Hussain photographed on a hilltop above a sea of clouds

IDENTITY

Degree
Electrical & Electronic Engineering
Institution
Chittagong University of Engineering and Technology, Bangladesh
Experience
Web Dev, ML, RL, Embedded Systems, Electronics
Focus
AI, Robotics & Intelligent Control

// ABOUT ME

How I Think & What Drives Me

I'm naturally curious, enjoy solving challenging problems, and believe in learning through experimentation. I like understanding the logic behind things, testing ideas, and continuously improving through practice.

My mindset — Analytical, hands-on, and always learning. I value creative problem-solving, strategic thinking, and sharing knowledge with others.

Beyond technology — I'm passionate about competitive gaming, where strategy and quick decisions matter, and adventure, which gives me opportunities to explore, embrace challenges, and step outside my comfort zone.

What drives me — The satisfaction of overcoming difficult challenges, discovering something new, and turning ideas into something meaningful.

My Passion and Goals

Web Development

Approximately six years of building for the web — websites, applications, and practical software problems solved end to end.

Engineering Foundations

Electrical and electronic engineering fundamentals: control systems, automation, and the physical principles behind engineered systems.

Intelligent Systems

Machine learning, neural networks, reinforcement learning, robotics, and autonomous decision-making.

Research Mindset

Studying research papers, reproducing existing approaches, testing hypotheses, and gradually developing independent research questions.

// RESEARCH INTERESTS

Where Engineering Meets Intelligence

DIRECTION A

Reinforcement Learning & Autonomous Robotics

How agents learn effective behavior through interaction with their environments.

  • Deep Q-Networks (DQN)
  • Policy optimization & actor-critic methods
  • Reward design & exploration strategies
  • Autonomous navigation & obstacle avoidance
  • Learning-based control
DIRECTION B

Intelligent Control Systems

How machine learning can complement classical control theory and engineering knowledge.

  • Learning-based control
  • Adaptive & intelligent control
  • Optimization of control decisions
  • Model-based + learning-based hybrids
DIRECTION C

Computer Vision & Industrial AI

Machine learning and visual perception applied to engineering and manufacturing problems.

  • Image classification & visual inspection
  • Industrial defect detection
  • Sensor-based decision-making
  • AI-assisted quality control
  • Vision + automation integration
DIRECTION D

AI-Driven Industrial Automation

Intelligent software working with PLCs, sensors, actuators, and industrial processes.

  • Vision-guided inspection & rejection
  • PLC-based automation
  • Embedded AI systems
  • Intelligent monitoring & control

// TECHNICAL SKILLS

Tools of the trade, honestly labeled

CURRENTLY PRACTICING

Web Development & Software Engineering

  • HTML, CSS & JavaScript
  • Frontend development
  • Responsive web design
  • API integration
  • Deployment & hosting
  • Debugging & maintenance workflows
  • Git & GitHub

CURRENTLY PRACTICING

Machine Learning & Deep Learning

  • PyTorch
  • Neural network fundamentals
  • Supervised learning
  • Tensor manipulation & model training
  • Model evaluation & experimental analysis

CURRENTLY PRACTICING

Reinforcement Learning

  • Q-learning fundamentals
  • Deep Q-Networks (DQN)
  • Bellman targets
  • Experience replay
  • Target networks
  • Epsilon-greedy exploration

WORKING KNOWLEDGE

Programming & Development

  • Python
  • OOP fundamentals
  • C/C++ basics
  • Linux & Ubuntu
  • Git & GitHub

WORKING KNOWLEDGE

Robotics & Simulation

  • ROS 2 fundamentals
  • Robot navigation concepts
  • Gazebo simulation workflows
  • Sensor-to-action pipelines
  • Obstacle avoidance
  • Raspberry Pi
  • ESP32
  • Arduino

ENGINEERING FOUNDATIONS

Electrical & Electronic Engineering

  • Circuit analysis & network theorems
  • Analog & digital electronics
  • Electrical machines & transformers
  • Power systems & power electronics
  • Signals & systems
  • Control systems
  • Microprocessors & microcontrollers
  • Measurement & instrumentation
  • Digital logic design

ENGINEERING FOUNDATIONS

Industrial Automation

  • PLC programming
  • Siemens TIA Portal
  • Ladder logic
  • HMI fundamentals
  • Industrial sensors & automation
  • Motor controls & drives
  • SCADA & industrial communication

WORKING KNOWLEDGE

Additional Tools

  • MATLAB/Simulink
  • OpenCV & computer vision
  • LaTeX & technical writing
  • Circuit simulation
  • Office software

// FEATURED PROJECTS

Work in progress, work in production

All project details and source codes are available in my GitHub:Visit my GitHub

Illustration for AI-Assisted Industrial Bottle Inspection & RejectionPLANNED

INDUSTRIAL AUTOMATION · MACHINE VISION · PLC

AI-Assisted Industrial Bottle Inspection & Rejection

Integrating visual inspection with an automated rejection mechanism — where electrical engineering, industrial automation, and AI meet.

  • Defect detection from images
  • Communication between an AI-processing unit and a PLC
  • Sensor-triggered inspection & conveyor control
  • Automated rejection of defective products
  • Raspberry Pi
  • PLC
  • Machine Vision
  • Sensors & Actuators
Illustration for DQN-Based Robot Navigation & Obstacle Avoidance ResearchIN PROGRESS

REINFORCEMENT LEARNING · ROBOTICS · ROS 2

DQN-Based Robot Navigation & Obstacle Avoidance Research

A robot navigation system where a deep reinforcement learning agent selects movement actions from environmental observations.

  • DQN-based action selection from sensor inputs
  • Reward-function design for navigation & obstacle avoidance
  • Experience replay and target networks
  • ROS 2 communication and simulation integration
  • Python
  • PyTorch
  • DQN
  • ROS 2
  • Gazebo
View source on GitHub
Illustration for Real-Time RFID Access Logging SystemCOMPLETED

EMBEDDED SYSTEMS · ESP32 · NEXT.JS

Real-Time RFID Access Logging System

An RFID-based access logger: an ESP32 reads tags while a full-stack Next.js dashboard records and displays access events in real time.

  • RFID tag reading on an ESP32
  • Real-time logging of access events
  • Full-stack Next.js dashboard
  • Embedded firmware meeting full-stack web development
  • ESP32
  • C++
  • Next.js
  • JavaScript
View source on GitHub
Illustration for Next Restaurant AppCOMPLETED

WEB DEVELOPMENT · NEXT.JS · FULL STACK

Next Restaurant App

A complete full-stack restaurant and food-ordering web application, from authentication and ordering through to deployment.

  • Next.js and React frontend
  • Node.js backend with MongoDB
  • User authentication and ordering flow
  • Deployed on Vercel
  • Next.js
  • React
  • Node.js
  • MongoDB
  • Vercel
View source on GitHub
Illustration for Bistro92 — Smart Food Ordering SystemCOMPLETED

EMBEDDED SYSTEMS · ESP32 · FIREBASE

Bistro92 — Smart Food Ordering System

A smart food-ordering system built around an ESP32 with an OLED display and a Firebase backend.

  • ESP32 firmware written in C++
  • OLED display for order feedback
  • Firebase backend for order data
  • Physical interface for placing orders
  • ESP32
  • C++
  • OLED
  • Firebase
View source on GitHub

4 MORE

// EXPERIENCE

Experience & engineering exposure

DEVELOPMENT EXPERIENCE

~6 Years

Independent Web Development

A sustained technical background building websites and web applications — frontend and backend implementation, deployment, debugging, and maintenance across personal and collaborative projects.

TEACHING EXPERIENCE

2021 – 2023

MERN Stack Mentorship

Tutored over thousands of students live in mastering MERN-stack web development at an educational platform.

FREELANCE EXPERIENCE

4+ Years

Freelancing

Worked as a full-stack web developer on Freelancer, Upwork and Fiverr for over four years, delivering client websites and web applications end to end.

TECHNICAL TRAINING

Completed

Industrial Automation Training

Hands-on training with Siemens TIA Portal, PLC programming and simulation, ladder logic, HMI systems, sensors and pneumatic systems, and conveyor automation — including a conveyor bottle-separation design exercise.

INDUSTRIAL EXPOSURE

Completed

Industrial Visits

Observed AI-assisted bottle rejection, HMI and conveyor systems, servo motors and sensors, PLC-based industrial control, boiler and turbine protection concepts, and control-room workflows at manufacturing and power-generation facilities.

Chittagong University of Engineering and Technology (CUET)

B.Sc. in Electrical and Electronic Engineering (EEE) · Undergraduate student · Expected graduation: 2028

// CERTIFICATIONS

Recognition, Training & Competition

1st Prize — CUET ML Contest 2.0 — Beginner Track1st Prize

CUET ML Contest 2.0 — Beginner Track

IEEE Computer Society CUET Student Branch Chapter

Secured first prize in the Beginner Track of the CUET ML Contest 2.0, organized by the IEEE Computer Society CUET Student Branch Chapter.

View certificate
Certificate of Excellence — PyTorch BootcampCertificate of Excellence

PyTorch Bootcamp

OpenCV University · OpenCV.org

October 19, 2026

Completed the PyTorch Bootcamp with a 100% grade, issued by OpenCV.org and signed by Dr. Satya Malick (CEO) and Dr. Gary Bradski (President).

View certificate
Training Completion — Industrial Automation TrainingTraining Completion

Industrial Automation Training

IICT, CUET · EDGE Project, Bangladesh Computer Council (ICT Division)

Apr – May 2026 · 80 hours

Completed the 80-hour "Industrial Automation" training under the Digital Skills 4 Students initiative, conducted by the Institute of Information and Communication Technology (IICT), CUET.

View certificate
Certificate of Appreciation — 3 Minute Thesis (3MT) — SciBlitz 1.0Certificate of Appreciation

3 Minute Thesis (3MT) — SciBlitz 1.0

IEEE CUET Student Branch

Recognised for presenting scholarly work in the 3 Minute Thesis segment of SciBlitz 1.0, communicating research concisely and effectively.

View certificate
Certificate of Participation — Techathon — MIE ROBOLUTION 1.0Certificate of Participation

Techathon — MIE ROBOLUTION 1.0

Department of Mechatronics & Industrial Engineering, CUET

May 8 – 10, 2025

Took part in the Techathon at MIE ROBOLUTION 1.0 as a member of team Quantum Flex.

View certificate
Certificate of Participation — Datathon — CUET CSE Fest 2025Certificate of Participation

Datathon — CUET CSE Fest 2025

Department of CSE, CUET · Delineate

2025

Participated in the Datathon as a member of team Al-Wakeel, working on data analysis, problem-solving, and solution development.

View certificate

// LEARNING JOURNEY

From Engineering Fundamentals to Intelligent Systems

  1. 01

    Start of Programming

    Started learning C programming in junior high in 2017.

  2. 02

    Web Development

    Began teaching myself web development in 2020, and have been building and learning with it ever since.

  3. 03

    Python & ML

    Picked up Python basics and machine-learning fundamentals in 2024.

  4. 04

    EEE Foundations

    Electrical & electronic engineering fundamentals at CUET.

  5. 05

    PyTorch & Neural Networks

    Implementing and training neural networks.

  6. 06

    Reinforcement Learning

    Q-learning and Deep Q-Networks.

  7. 07

    ROS 2 & Navigation

    Robot-navigation systems and simulation.

  8. 08

    Building & Implementing RL Projects

    AHEAD

    Building and implementing further reinforcement-learning projects.

  9. 09

    Paper Reproduction

    AHEAD

    Reproducing research and running experiments.

  10. 10

    Advanced RL & Control

    AHEAD

    Future exploration of intelligent control.

CURRENTLY EXPLORING

Reinforcement LearningAutonomous RoboticsAI-Assisted Engineering

// CONTACT

Interested in Web Development, Robotics, AI, or Engineering Research?

I bring a background in web development and an expanding interest in intelligent engineering systems. I'm interested in connecting with developers, researchers, engineers, and collaborators working on web technologies, reinforcement learning, robotics, industrial AI, and related problems. Feel free to reach out to discuss a project or exchange ideas.