Resume - Habibur Rahman | Habibur Rahman - Web Developer | AI/ML Enthusiast | Building Data-Driven AI Powered Web Applications

PROFESSIONAL SUMMARY

Web Developer | AI/ML Enthusiast | Building Data-Driven AI Powered Web Applications with a strong focus on combining modern frontend engineering with practical machine learning.

Currently pursuing BSc in Data Science @ United International University (2023-2027), with hands-on work spanning Next.js, TypeScript, Node.js, PostgreSQL, Prisma, MongoDB, Python, and Scikit-learn.

I also position my work for freelance delivery through Upwork, where I focus on scalable web apps, AI-integrated features, analytics dashboards, APIs, and product experiences that solve real problems.

FREELANCE & UPWORK

Web Developer | React, Next.js & AI/ML

View Upwork Profile →

Web applications with Next.js, React, TypeScript, Node.js, and modern backend stacks.
AI-powered features, predictive analytics, and ML-backed product workflows using Python and Scikit-learn.
Geolocation, dashboards, and real-time interfaces for analytics-heavy or operations-focused products.
RESTful API development, third-party integration, and production-ready database design with PostgreSQL and MongoDB.

SKILLS

Technical Skills

• Core:

Next.js

React.js

TypeScript

JavaScript

Node.js

Express.js

Tailwind CSS

Redux

JWT Authentication

• AiMl:

Python

Scikit-learn

Pandas

NumPy

Matplotlib

Plotly

Seaborn

Gradient Boosting

Feature Engineering

Model Evaluation

• BackendData:

PostgreSQL

Prisma

MongoDB

Firebase

RESTful APIs

TanStack Query

Zod

API Integration

• ProductTools:

Roboflow AI

Mapbox GL

HeroUI

Material UI

Git

Postman

VS Code

Vercel

PROJECTS

Warden

An AI-powered crime reporting platform focused on real-time incident reporting, geofencing, heatmap visualization, and location-aware analytics.

Live Demo →Client-Side →Server-Side →

Technology Used:

Next.js, TypeScript, PostgreSQL, Prisma, Roboflow AI, Mapbox GL, geolocation workflows, heatmaps

Key Features:

Positioned AI and geospatial data together to support incident reporting and crime analytics use cases.
Designed for real-time product flows with map-based interaction, geofencing logic, and operational visibility.
Showcases my strongest overlap of product engineering, analytics thinking, and AI integration.

Medical Predictor

A machine learning application for predicting medical insurance charges with an interactive Gradio interface.

Live Demo →Client-Side →Server-Side →

Technology Used:

Python, Scikit-learn, Gradient Boosting, Pandas, NumPy, Gradio, model evaluation

Key Features:

Trained and evaluated multiple regression models before selecting Gradient Boosting for stronger predictive performance.
Built an accessible interactive interface so non-technical users can test predictions without touching code.
Represents practical ML delivery beyond notebooks by packaging model logic into a usable product experience.

DestinyDiary

A travel storytelling platform where users share experiences, connect with other travelers, and explore destination-driven content.

Live Demo →Client-Side →Server-Side →

Technology Used:

Next.js, TypeScript, Tailwind CSS, MongoDB, Node.js, Express.js, JWT, payment integration

Key Features:

Built a content-rich product with role-based access, verification flows, and responsive UI architecture.
Integrated premium feature flows and richer user interaction around travel stories and guides.
Demonstrates product thinking, frontend polish, and scalable web implementation.

ShineSlot

A booking system for service scheduling with state-heavy flows, appointment management, and responsive UX.

Live Demo →Client-Side →Server-Side →

Technology Used:

React, TypeScript, Redux, Ant Design, Express.js, Mongoose, JWT, payment integration

Key Features:

Implemented booking flows, service comparison, and slot-specific UX for smoother decision making.
Managed complex client-side state and scheduling interactions in a predictable way.
Highlights my ability to ship transactional user experiences with clean frontend structure.

VirtualDoc (Team Project)

A telemedicine platform supporting remote consultations, appointment booking, payment integration, and patient engagement workflows.

Live Demo →Client-Side →Server-Side →

Technology Used:

React.js, JavaScript, Node.js, Express.js, Mongoose, Material Tailwind, SSLCOMMERZ

Key Features:

Contributed to responsive patient-facing interfaces and dashboard experiences in a team environment.
Integrated payment-supported appointment flows and interactive healthcare features.
Shows collaboration, ownership, and ability to deliver inside a multi-developer product context.

PROFESSIONAL SUMMARY

Web Developer | AI/ML Enthusiast | Building Data-Driven AI Powered Web Applications with a strong focus on combining modern frontend engineering with practical machine learning.

Currently pursuing BSc in Data Science @ United International University (2023-2027), with hands-on work spanning Next.js, TypeScript, Node.js, PostgreSQL, Prisma, MongoDB, Python, and Scikit-learn.

FREELANCE & UPWORK

Web Developer | React, Next.js & AI/ML

View Upwork Profile →

Web applications with Next.js, React, TypeScript, Node.js, and modern backend stacks.
AI-powered features, predictive analytics, and ML-backed product workflows using Python and Scikit-learn.
Geolocation, dashboards, and real-time interfaces for analytics-heavy or operations-focused products.
RESTful API development, third-party integration, and production-ready database design with PostgreSQL and MongoDB.

SKILLS

Technical Skills

• Core:

Next.js

React.js

TypeScript

JavaScript

Node.js

Express.js

Tailwind CSS

Redux

JWT Authentication

• AiMl:

Python

Scikit-learn

Pandas

NumPy

Matplotlib

Plotly

Seaborn

Gradient Boosting

Feature Engineering

Model Evaluation

• BackendData:

PostgreSQL

Prisma

MongoDB

Firebase

RESTful APIs

TanStack Query

Zod

API Integration

• ProductTools:

Roboflow AI

Mapbox GL

HeroUI

Material UI

Git

Postman

VS Code

Vercel

PROJECTS

Warden

An AI-powered crime reporting platform focused on real-time incident reporting, geofencing, heatmap visualization, and location-aware analytics.

Live Demo →Client-Side →Server-Side →

Technology Used:

Next.js, TypeScript, PostgreSQL, Prisma, Roboflow AI, Mapbox GL, geolocation workflows, heatmaps

Key Features:

Positioned AI and geospatial data together to support incident reporting and crime analytics use cases.
Designed for real-time product flows with map-based interaction, geofencing logic, and operational visibility.
Showcases my strongest overlap of product engineering, analytics thinking, and AI integration.

Medical Predictor

A machine learning application for predicting medical insurance charges with an interactive Gradio interface.

Live Demo →Client-Side →Server-Side →

Technology Used:

Python, Scikit-learn, Gradient Boosting, Pandas, NumPy, Gradio, model evaluation

Key Features:

Trained and evaluated multiple regression models before selecting Gradient Boosting for stronger predictive performance.
Built an accessible interactive interface so non-technical users can test predictions without touching code.
Represents practical ML delivery beyond notebooks by packaging model logic into a usable product experience.

DestinyDiary

A travel storytelling platform where users share experiences, connect with other travelers, and explore destination-driven content.

Live Demo →Client-Side →Server-Side →

Technology Used:

Next.js, TypeScript, Tailwind CSS, MongoDB, Node.js, Express.js, JWT, payment integration

Key Features:

Built a content-rich product with role-based access, verification flows, and responsive UI architecture.
Integrated premium feature flows and richer user interaction around travel stories and guides.
Demonstrates product thinking, frontend polish, and scalable web implementation.

ShineSlot

A booking system for service scheduling with state-heavy flows, appointment management, and responsive UX.

Live Demo →Client-Side →Server-Side →

Technology Used:

React, TypeScript, Redux, Ant Design, Express.js, Mongoose, JWT, payment integration

Key Features:

Implemented booking flows, service comparison, and slot-specific UX for smoother decision making.
Managed complex client-side state and scheduling interactions in a predictable way.
Highlights my ability to ship transactional user experiences with clean frontend structure.

VirtualDoc (Team Project)

A telemedicine platform supporting remote consultations, appointment booking, payment integration, and patient engagement workflows.

Live Demo →Client-Side →Server-Side →

Technology Used:

React.js, JavaScript, Node.js, Express.js, Mongoose, Material Tailwind, SSLCOMMERZ

Key Features:

Contributed to responsive patient-facing interfaces and dashboard experiences in a team environment.
Integrated payment-supported appointment flows and interactive healthcare features.
Shows collaboration, ownership, and ability to deliver inside a multi-developer product context.

HABIBUR RAHMAN

Web Developer | AI/ML Enthusiast | Building Data-Driven AI Powered Web Applications

PROFESSIONAL SUMMARY

FREELANCE & UPWORK

SKILLS

Technical Skills

• Core:

• AiMl:

• BackendData:

• ProductTools:

PROJECTS

Warden

Technology Used:

Key Features:

Medical Predictor

Technology Used:

Key Features:

DestinyDiary

Technology Used:

Key Features:

ShineSlot

Technology Used:

Key Features:

VirtualDoc (Team Project)

Technology Used:

Key Features:

EDUCATION

BSc in Data Science

PROFESSIONAL COURSES

Next Level Web Development

Complete Web Development Course With Jhankar Mahbub

EXTRACURRICULAR ACTIVITY

Secretary of Programming

LANGUAGES

HABIBUR RAHMAN

Web Developer | AI/ML Enthusiast | Building Data-Driven AI Powered Web Applications

PROFESSIONAL SUMMARY

FREELANCE & UPWORK

SKILLS

Technical Skills

• Core:

• AiMl:

• BackendData:

• ProductTools:

PROJECTS

Warden

Technology Used:

Key Features:

Medical Predictor

Technology Used:

Key Features:

DestinyDiary

Technology Used:

Key Features:

ShineSlot

Technology Used:

Key Features:

VirtualDoc (Team Project)

Technology Used:

Key Features:

EDUCATION

BSc in Data Science

PROFESSIONAL COURSES

Next Level Web Development

Complete Web Development Course With Jhankar Mahbub

EXTRACURRICULAR ACTIVITY

Secretary of Programming

LANGUAGES