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Hello! I am Ananta Chattapadhyay

A Full Stack Developer who

transforms problems intoproductsarrow

AI-powered, secure, and production-ready.

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From concept code deployment.

I’m have 2+ years of hands-on experience building scalable and production-ready web applications. I enjoy creating complete systems, from backend architecture and APIs to clean, responsive frontend interfaces. I’m also the Smart India Hackathon 2024 National Winner, where I developed an AI + ML drone-based agricultural solution, and I have a published ML research paper (WOA for NIDS) accepted at IEEE OCIT 2025. My work blends software engineering with AI innovation, and I’m always excited to build products that are useful, intelligent, and impactful.

Education & Experience

B.Tech – Netaji Subhash Engineering College (MAKAUT)

B.Tech – Netaji Subhash Engineering College (MAKAUT)

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Pursuing B.Tech in Information Technology (4th Year — Graduating 2026) with a strong foundation in core Computer Science subjects, including Operating Systems, DBMS, Computer Networks, Algorithms & Data Structures, OOP, and AI/ML fundamentals. Built multiple real-world projects throughout the course, strengthening both theoretical understanding and practical development skills. Passionate about applying engineering principles to build efficient, scalable, and user-centric digital solutions.

AI & Full Stack Developer – Everything about AI (Remote)

AI & Full Stack Developer – Everything about AI (Remote)

Worked as AI & Full Stack Developer at Everything about AI (Remote). Built AI-powered apps using generative AI and modern full stack (React, Next.js, Node.js). Explored code-driven video editing with Revideo and contributed to intelligent product features.

Full Stack Developer – Madquick (Remote)

Full Stack Developer – Madquick (Remote)

Served as Full Stack Developer at Madquick, contributing to end-to-end web application development. Designed and implemented responsive user interfaces using React and modern CSS frameworks while building robust backend APIs with Node.js and Express. Worked on database design and optimization using PostgreSQL and MongoDB, ensuring efficient data management and query performance. Participated in agile development cycles, code reviews, and deployed scalable applications to cloud platforms. Enhanced application performance and implemented secure authentication systems.

Smart India Hackathon 2024 — National Winner (Ministry of Jal Shakti)

Smart India Hackathon 2024 — National Winner (Ministry of Jal Shakti)

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Developed AI + ML + Drone based Agricultural Automation System, capable of Actual Evapotranspiration (AET) prediction, water irrigation scheduling, and crop disease detection — all in a single platform. Integrated MODIS & Landsat satellite datasets, machine learning regression models, IoT sensors, Raspberry Pi, and Arduino with MQTT + FastAPI backend for real-time data streaming. Built the web dashboard, sensor communication layer, ML pipeline, and drone imaging workflow, delivering 90%+ AET prediction accuracy and earning national recognition under Hardware Problem Statement 1571( Team Swift avigator)

Research – Wolverine Optimization Algorithm for Network Intrusion Detection (Accepted — IEEE OCIT 2025)

Research – Wolverine Optimization Algorithm for Network Intrusion Detection (Accepted — IEEE OCIT 2025)

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Designed a bio-inspired metaheuristic algorithm (WOA) modeled on wolverine hunting patterns for high-dimensional feature selection in NIDS. Applied on the NSL-KDD dataset, improving intrusion detection performance across multiple ML classifiers by boosting accuracy and significantly reducing false alarm rates. Achieved Bagging classifier accuracy of 99.775% with FPR 0.25%, outperforming GA, PSO, SOM, and Naïve Bayes in benchmarking. Demonstrated strong research aptitude in optimization, ML model evaluation, cybersecurity, and experimentation at scale.

Product Intern – Wadhwani Foundation (Entrepreneurial Simulation Internship)

Product Intern – Wadhwani Foundation (Entrepreneurial Simulation Internship)

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Participated in a real startup-style MVP simulation, working as CEO within a virtual team to build a product from 0 → 1. Gained hands-on exposure to lean startup principles, market research, user discovery, business model refinement, prototyping, and pitching. Learned to align technology with business strategy, validate ideas with real users, and prioritize features around value instead of assumptions — sharpening both product thinking and entrepreneurial mindset.

Tech Stack & Skills

I work with modern full stack technologies

that values improving people's lives through accessible design

Frontend

HTML
CSS
JavaScript
React
Next.js
Tailwind CSS
Bootstrap
SCSS
Redux

Backend & Languages

C
C++
Java
Python
Node.js
Express.js
TypeScript
Javascript
SQL
PHP
Authentication & Authorization
API gateways
Fast API

Database & Tools

MongoDB
MySQL
Git
REST API
Oracle
Postman
Jupyter
VS Code
Pycharm
Streamlit
Gradio
Github
CI/CD
Vercel
Render
AWS
Docker

Core Domains & Specialized

Linux Commands
Operating Systems
OOPS
DBMS
SDLC
MVC Architecture
Agile Methodologies
Machine Learning
IoT Basics
Currently expanding skills in Large Language Models

Featured Project

AI Interview Mocker

Developed a comprehensive web platform that simulates real technical interviews using AI generated questions, speech recognition, and AI based feedback powered by Gemini AI. Built advanced features like real-time audio transcriptions, and intelligence score evaluation with dynamic dashboards.

Next.js 15 React 19TypeScript 5Tailwind CSS 4Gemini AI APISpeechRecognition APINeon PostgreSQL
AI Interview Mocker

Featured Project

PassGenPro

Engineered a secure password vault with real-time strength analysis, clipboard auto-clear, and AES-256-CBC encryption with 2FA (TOTP), ensuring 100% client-side confidentiality and 50% faster performance

Next.js 15React 18TypeScript 5Tailwind CSS 4Framer MotionMongoDBMongoosebcryptjscrypto-jsSpeakeasyQRCode
PassGenPro

Featured Project

RapidAI

Build an unified SAAS platform for AI driven text, image, and resume generation with authentication sharing and real-time tracking boosting productivity by 60% and backend speed by 40%

React 19Tailwind CSS 4Express 5CloudinaryStability AI APIGemini AIDrizzle ORM
RapidAI

Featured Project

MGNREGA Dashboard — Rural Employment Data Analytics Platform

A real-time analytics dashboard that visualizes MGNREGA employment data across states and districts, enabling transparent and data-driven tracking of rural development performance.

Next.jsReactTypeScriptPostgreSQLTailwind CSSNode.jsCron JobsVercel
MGNREGA Dashboard — Rural Employment Data Analytics Platform

Featured Project

Diabetes Prediction App

A lightweight ML-based web app that predicts diabetes risk using health metrics such as glucose, BMI, insulin, age, and more. The model is trained on the Pima Indians Diabetes Dataset and deployed with an intuitive Gradio interface for instant, user-friendly results.

PythonScikit-LearnRandom Forest ClassifierSMOTEGradioHugging Face SpacesPandasNumPy
Diabetes Prediction App

Featured Project

Giggly Meet — Real-Time Video Calling Platform

A Google-Meet–style video calling platform built with Next.js and ZegoCloud, offering instant meetings, join-via-link, responsive UI, and dark mode. Designed for seamless and stable peer-to-peer calls with smooth UI interactions.

Next.jsTailwind CSSZegoCloud SDKReact
Giggly Meet — Real-Time Video Calling Platform

Let's Connect

If you're hiring for Full-Stack / Backend / AI-integrated projects, or if you want to collaborate on something exciting, just drop a message.

Based in Kolkata, India

Available for remote + on-site opportunities

Connect with me