terminal Available for opportunities

ML Engineer

I build intelligent systems and ship them as real products.

Hi, I'm Aditya Kulkarni - a final-year CS student at SSGMCE obsessed with building end-to-end solutions. From raw data to deployed products. ML pipelines, Flutter apps, and everything in between.

Python Flutter Scikit-learn XGBoost Firebase SQL Linux React
About

Building things
that actually
ship.

ML Engineer and Flutter Developer based in India. I go from messy datasets to production-ready models — improved R² from 1.2% → 90.4% through ensemble stacking and aggressive feature engineering.

Currently interning with Central Railway Engineers' Association, modernizing their entire workflow to a full-stack web platform. Previously at Ministry of Railways, where my Flutter app reduced locomotive data retrieval from 30 minutes to 5 seconds.

Open to ML Engineer, Data Engineer, and Flutter Developer roles where I build things that solve real problems.

Languages

  • Python
  • Dart
  • Java
  • SQL
  • JavaScript

ML & Data

  • Scikit-learn
  • XGBoost
  • CatBoost
  • Pandas / NumPy
  • Playwright (ETL)

Mobile & Web

  • Flutter
  • Firebase
  • React
  • Node.js
  • MongoDB

Tools

  • Git / Linux
  • Jupyter
  • SQLite
  • Arch Linux
  • VS Code
Selected Work

Projects

All on GitHub
psychology
Automation · Python In Progress

LinkedIn Job Intelligence Agent

Autonomous job hunting system. Scrapes LinkedIn daily, scores opportunities via a custom Priority Algorithm (recency × competition ratio), and delivers ranked reports to your inbox.

100+ jobs scraped · Cron-automated daily

Python Playwright SQLite ETL
Private Repo
trending_up
Machine Learning Production

Stacking Regressor — Used Car Price Predictor

Transformed a messy dataset into a production-ready prediction model. Trained 10+ models, compared rigorously. Final stack: RF + XGBoost + CatBoost.

1.2% → 90.4% R² · ±5% prediction accuracy

Scikit-learn XGBoost CatBoost Pandas
dataset Kaggle Notebook
train
Flutter · Firebase Production · Gov

Loco-Info — Railway Management System

Digitized paper-based locomotive tracking for Central Railway's Bhusawal shed. 50+ locomotives managed in real-time. Used daily by the operations team.

30 min → 5 sec data retrieval · 5+ concurrent users

Flutter Firebase Dart
Private — Government Project
globe
Full-Stack · Web Ongoing · 60%

CREA Web Portal

Modernizing Central Railway Engineers' Association (500+ members) from scattered Google Sheets to a centralized platform with member management and event registration.

500+ members · Role-based access control

React Node.js MongoDB Express
schedule Launching Soon
Experience

Where I've worked

Central Railway Engineers' Association

Sept 2025 — Present

Ongoing

Web Developer Intern

Modernizing workflow for 500+ railway engineers; Google Forms to a centralized web platform with member management, event registration, and admin dashboards.

  • Architected full-stack solution (React + Node.js + MongoDB)
  • Implemented role-based access control for admin/member roles
  • Automated email notifications for event registrations

Ministry of Railways, Central Railway

Aug 2025 — Sept 2025

Completed

App Developer Intern

Built Loco-Info — a Flutter app that digitized manual locomotive tracking for 50+ units at Electric Loco Shed, Bhusawal. Now in daily use by the operations team.

  • Designed 10+ screens for maintenance scheduling and staff allocation
  • Reduced data retrieval time from 30 minutes to under 5 seconds
  • Real-time Firebase sync for 5+ concurrent users