Siliguri, West Bengal, India

Mrittick Deb

Building end-to-end products — from pixel-perfect apps to intelligent ML systems.

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About Me

I'm a Computer Science student at Lovely Professional University who builds end-to-end products — from pixel-perfect mobile apps to intelligent ML systems. I'm driven by the intersection of clean engineering and real-world impact, whether that's detecting student depression risk with fairness-aware models or shipping production-grade web platforms. When I'm not coding, I'm competing on LeetCode/Codeforces or breaking into systems on TryHackMe.

Projects Built

Top 0%

LeetCode Rank

Top 0%

TryHackMe

0.00/10

CGPA

Tech Stack

Technologies I work with to build full-stack products and ML systems.

C++

JavaScript

TypeScript

Python

Dart

/// Full Toolkit ///

C++

JavaScript

TypeScript

Python

Dart

React.js

Next.js

Tailwind CSS

Node.js

Express.js

Socket.io

Flutter

TensorFlow

PyTorch

Scikit-Learn

XGBoost

SHAP

SMOTE

Pandas

NumPy

MongoDB

PostgreSQL

MySQL

Firebase

Docker

Git

Postman

Power BI

Jupyter Notebook

Cloudinary

C++

JavaScript

TypeScript

Python

Dart

React.js

Next.js

Tailwind CSS

Node.js

Express.js

Socket.io

Flutter

TensorFlow

PyTorch

Scikit-Learn

XGBoost

SHAP

SMOTE

Pandas

NumPy

MongoDB

PostgreSQL

MySQL

Firebase

Docker

Git

Postman

Power BI

Jupyter Notebook

Cloudinary

Work Experience

My professional journey and contributions so far.

AossieActive

Open Source Contributor

Nov 2025 – Present

Contributed to the Resonate open-source project by building Flutter UI components and submitting 2-3 pull requests to the core repository
Resolved UI and functional issues, collaborating with maintainers through GitHub code reviews

Summer Training Program

Training Intern

Jun 2025 – Jul 2025

Built 2 end-to-end ML and full-stack applications processing 15,000+ real-world data records
Improved model performance by 25% over baseline through feature engineering and hyperparameter tuning
Deployed scalable web solutions supporting real-time ML predictions using Streamlit and MERN stack

Featured Projects

A selection of projects that showcase my range — from production web platforms to intelligent ML systems.

Featured

AI-Powered Leave Management System

Production-grade full-stack platform with role-based workflows, real-time notifications, JWT auth, OTP verification via Brevo API, and Cloudinary asset management.

React.jsNode.jsExpress.jsMongoDBSocket.ioJWTCloudinaryBrevo API

GitHub Live Demo

Featured

Student Depression Risk Prediction

Recall-optimized ML screening system trained on 27,901 records using XGBoost with SMOTE balancing, SHAP explainability, and gender-based fairness evaluation for early mental health detection.

PythonXGBoostScikit-LearnSHAPSMOTEPandasNumPy

GitHub Live Demo

Featured

FinFlow — Personal Finance Tracker

Bloomberg-meets-Revolut fintech dashboard with real-time transaction tracking, Recharts visualizations, Firebase auth, and seamless dark/light mode.

React 18ViteTailwind CSSFirebaseRechartsLucide React

GitHub Live Demo

Featured

Lumina — Smart Study Planner

Privacy-focused academic planner with schedule conflict detection, progress analytics, and a unique hand-crafted journal aesthetic — zero dependencies, runs entirely in the browser.

Vanilla JavaScriptHTML5CSS3LocalStorage

GitHub Live Demo

ForkFindr — Food Discovery App

Full MERN stack food ordering platform with restaurant discovery, curated listings, filters, and secure JWT authentication.

React.jsNode.jsExpress.jsMongoDB+2

Code

Car Price Prediction System

End-to-end ML pipeline on 400,000+ vehicle records with EDA, XGBoost achieving 99% R², Streamlit web deployment, and an interactive Power BI executive dashboard.

PythonXGBoostStreamlitPower BI+3

Code Demo

Deliberate — Slow Conversation Platform

A Flutter-built anti-impulsive debate platform with intentional reply cooldowns, structured stance tracking, AI-powered argument summarization, and moderation.

FlutterDartFirebaseFirebase Auth+2

Code

Anomaly Detection Pipeline

Unsupervised deep learning pipeline using TensorFlow autoencoders to detect rare abnormal patterns in unlabeled data via reconstruction error scoring — with calibrated thresholds benchmarked against baseline methods.

PythonTensorFlowKerasScikit-Learn+2

Achievements & Education

LeetCode — Global Top 25%

Ranked in top 25% globally in Weekly & Biweekly Contests

TryHackMe — Top 7%

Ranked among 4M+ global users with hands-on security fundamentals

Open Source Contributor

Active contributor to Aossie's Resonate project on GitHub

Bachelor of Technology — Computer Science & Engineering

Lovely Professional University — Punjab, India

Aug 2023 – PresentCGPA: 8.05 / 10

Certifications

AI Foundations Associate

Oracle Cloud Infrastructure • Oct 2025

Cloud Data Platform

Oracle • 2025

Cloud Computing

NPTEL, IIT Kharagpur • May 2025

Computer Architecture

Princeton University • Oct 2024

Computer Communications Specialization

University of Colorado • Oct 2024

Get In Touch

Let's build something amazing together.

debmrittick@gmail.com

Location

Siliguri, West Bengal, India

Find me on

Download Resume