# Aditya Gangurde
import torch, flask, pandas
 
class Engineer:
  skills = ['ML','System Design', 'IoT']
  status = 'open_to_work'
 
  def build(self, idea):
  return deploy(idea)
CSE Student · Open to Opportunities

Aditya Gangurde.

A Computer Science engineer who builds intelligent, purposeful systems — from ML pipelines and IoT solutions to full-stack web apps. I focus on learning deeply and building projects that solve real problems.

View Projects ↗ Get in Touch
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01 / About
Who I Am

I'm Aditya Gangurde, a Computer Science & Engineering student with a deep curiosity for technology that lives at the intersection of software, data, and hardware.

My work spans machine learning, IoT system design, database engineering, and web development. Whether it's training a PyTorch model, architecting a PostgreSQL schema, or wiring up a Flask REST API — I like seeing the full picture.

I believe great software isn't just functional — it's thoughtful. I'm always exploring how emerging technologies can solve real-world problems, from making smarter ecosystems to making data more accessible.

Aditya Gangurde
5+
Tech Stacks
3+
Projects Built
DSA
Problem Solver
ML
+ IoT + Web
02 / Skills
Technical Arsenal
💻
Languages
Python SQL C++
🗄️
Databases
PostgreSQL MongoDB MySQL
🧠
ML / AI
PyTorch Scikit-learn Pandas NumPy
🌐
Web / Deployment
Flask HTML/CSS/JS Git GitHub
⚙️
Concepts
System Design DataBase Design REST APIs DSA Microcontrollers
03 / Projects
Things I've Built
Project 01
Home Automation System
A full-stack IoT solution integrating machine learning with microcontroller hardware to automate home systems. Features real-time sensor data processing, anomaly detection via ML models, and a web dashboard for remote monitoring and control — built with a clean layered architecture across hardware, backend, and UI.
Python PyTorch Flask Microcontrollers IoT REST API

⌥ View on GitHub

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Project 02
Data Analysis Tool
An interactive data analysis application for uploading, exploring, cleaning, and visualizing datasets with minimal friction. Powered by Pandas and NumPy for efficient processing, with a clean Flask web interface. Supports statistical summaries, correlation analysis, and exportable visual reports.
Python Pandas NumPy Flask PostgreSQL HTML/CSS/JS

⌥ View on GitHub

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Project 03
Tournament Manager
A full-stack Tournament Manager built with Flask & SQLite. Features role-based auth, team management, tournament scheduling, match tracking, and a live leaderboard — all wrapped in a responsive, modern UI with Bootstrap 5.
Python Flask SQLite3 HTML/CSS/Jinja2

⌥ View on GitHub

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04 / Contact
Let's Connect

Whether you want to collaborate on a project, discuss an opportunity, or just talk tech — I'm always open. Reach out via any channel below or drop a message.

✉️
Email aditya81311@gmail.com
🐙
GitHub github.com/Aditya81311
💼
LinkedIn Aditya Gangurde