Khandoker Wahiduzzaman Anik

Khandoker Wahiduzzaman Anik

Full Stack Developer & ML Researcher

I build scalable web applications and intelligent systems with 3+ years of experience in full-stack development, machine learning, and IoT security.

Currently: Web Developer at TechKnight Solution | B.Sc. Computer Science at BRAC University

PHPLaravelNode.jsPythonReactMongoDBMySQLMachine LearningXGBoostTensorFlowIoT Security

About Me

Khandoker Wahiduzzaman Anik

Hello! I'm Anik, a passionate Full Stack Developer and Machine Learning Researcher based in Dhaka, Bangladesh. With over 2 years of hands-on experience, I specialize in building end-to-end web applications that solve real-world problems while implementing cutting-edge AI solutions.

My journey in tech began with a fascination for how code can transform ideas into reality. From developing a live healthcare platform serving users nationwide to publishing research on mental health detection systems with 94.95% accuracy, I thrive on challenges that push the boundaries of technology. Currently, I'm working on my thesis focusing on ML-based Intrusion Detection Systems for Industrial IoT environments.

Beyond coding, I'm an avid gamer, football enthusiast, and constantly exploring new technologies in web development and cyber security. I believe in collaborative innovation and am always excited to work on projects involving AI, web development, and football-related technology. When I'm not coding, you'll find me on the football field or diving into the latest tech trends.

What I Do

Full Stack Development

Building scalable applications from frontend to backend

Machine Learning Research

Implementing AI models for practical applications

IoT Security

Developing intrusion detection systems for industrial environments

Data Analysis

Extracting insights from complex datasets

UI/UX Design

Creating intuitive and engaging user experiences

Interests & Hobbies

GamingFootballCodingReadingTravelAI CollaborationCyber Security

Featured Projects

Doctors Information Portal

Live

October 2025 - Present

Healthcare platform connecting patients with medical professionals across Bangladesh with advanced search and appointment booking features.

Key Features:

  • Responsive doctor directory with intuitive navigation
  • Advanced search functionality with multiple filter options
  • Real-time appointment booking system
  • Successfully deployed and serving users nationwide with 99.9% uptime

Tech Stack:

PHPLaravelMySQLBootstrapJavaScriptREST API
View Live Project →

TravelEase - Tourism Platform

In Development

October 2024 - Ongoing

Intelligent tourism and hotel booking platform with ML-powered recommendations, dynamic pricing, and comprehensive travel management features.

Key Features:

  • ML-powered recommendation engine for personalized travel suggestions
  • Dynamic pricing algorithm based on demand
  • Rating-based product categorization system
  • Real-time booking system with inventory management

Tech Stack:

Node.jsExpress.jsAngularMongoDBMachine Learning

Bookwork E-Store

Completed

2024

Full-featured online bookstore with comprehensive e-commerce functionality, inventory management, and secure payment integration.

Key Features:

  • Complete shopping cart workflow
  • User authentication and order management
  • Inventory tracking system with automated alerts
  • Secure payment integration

Tech Stack:

PHPLaravelMySQLBootstrapPayment Gateway

ML-Based IDS for IIoT (Thesis)

Research

2024 - 2026

Machine Learning Intrusion Detection System for resource-constrained Industrial IoT devices, focusing on edge computing and real-time threat detection.

Key Features:

  • Lightweight ML models optimized for edge computing
  • Real-time threat detection for Industrial IoT devices
  • Performance optimization for embedded systems
  • Minimal resource consumption on constrained devices

Tech Stack:

PythonTensorFlowScikit-learnEdge ComputingIoT Security

Depression Detection in Students

Published

January-April 2025

Published research on ML approach for detecting depression levels in undergraduate students, achieving 94.95% accuracy using XGBoost.

Key Features:

  • Achieved 94.95% accuracy using XGBoost algorithm
  • 6-class classification of depression severity
  • Analysis of 1,977 student samples
  • Published in academic journal

Tech Stack:

PythonXGBoostScikit-learnTensorFlowData Analysis

Skills & Expertise

A comprehensive toolkit built through years of hands-on experience in full-stack development, machine learning, and security research

Backend Development

PHPLaravelNode.jsPythonREST APIsMySQLMongoDB

Frontend Development

ReactJavaScriptTypeScriptTailwind CSSBootstrapNext.jsResponsive Design

Machine Learning & AI

Python MLXGBoostTensorFlowScikit-learnData AnalysisNeural Networks

IoT & Security

IoT SecurityIntrusion DetectionNetwork SecuritySystem Monitoring

Development Tools

Git & GitHubDockerVS CodePostmanLinuxCI/CD

Soft Skills

Team LeadershipProblem SolvingResearchTechnical WritingAgile/Scrum

Work Experience

Web Developer

Current

TechKnight Solution

September 2025 - Present | Dhaka, Bangladesh (Remote)

  • Developing scalable web applications using modern frameworks
  • Implementing full-stack solutions with robust architecture
  • Maintaining 99.9% uptime for production applications
  • Collaborating with CEO and Web Development Department

Technologies:

ReactLaravelNode.jsMySQLMongoDB

Education

Bachelor of Science in Computer Science

In Progress

BRAC University

2022 - January 2026 (Expected) | CGPA: 3.4/4.0

Dhaka, Bangladesh

Specializations:

Software EngineeringMachine LearningWeb DevelopmentIoT Security

Thesis:

"ML-Based Intrusion Detection System for Industrial IoT on Resource-Constrained Devices"

Focus on edge computing and real-time threat detection

Higher Secondary Certificate (HSC)

GPA 5.0/5.0

Dhaka Residential Model College

2020 | Science

Dhaka, Bangladesh

Secondary School Certificate (SSC)

GPA 5.0/5.0

Pingna High School

2018

Pingna, Bangladesh

Achievements & Leadership

Senior Executive - BRAC University Computer Club

2023

Organizing technical workshops, mentoring junior members, and promoting tech culture

Published Research: Depression Detection System

2025

Achieved 94.95% accuracy using XGBoost for mental health detection in students

Inter-University Robotics Competition

2023

Team participant in robotics design and programming

Let's Connect

I'm always excited to collaborate on innovative projects, discuss new opportunities, or just chat about technology. Feel free to reach out through any of these channels!

Open to Opportunities

Full-time positionsFreelance projectsResearch collaborationsConsulting opportunitiesOpen source contributions

Response time: Usually within 24 hours on weekdays

Send Me a Message

Got a question or want to work together? Drop me a message!

Currently based in Dhaka, BangladeshBangladesh Flag

© 2025 Khandoker Wahiduzzaman Anik. All rights reserved.