SOUMIK

AI/ML & Web3 Developer | Building the Future

soumik@dev:~
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About

Hey there! I'm Soumik, a 20-year-old developer who lives at the intersection of cutting-edge tech and creative problem-solving. I'm deeply passionate about AI, Machine Learning, and the future of the decentralized web — with a growing obsession for Web3, blockchain, and all things futuristic.

Whether it's crafting intelligent models, building sleek web apps, or diving deep into low-level systems with Rust and C++, I'm always chasing the next big challenge. I believe in building things that matter — tools, platforms, and experiences that push boundaries.

I'm always on the lookout for where technology is headed next. My interests span from building efficient machine learning models to experimenting with decentralized applications. I believe that by integrating the best of AI, ML, and modern web technologies, we can design solutions that not only push the envelope but also improve everyday experiences.

Currently tinkering, learning, building, and occasionally breaking things to rebuild them better. Looking forward, I aim to leverage my skills in real-world projects, collaborate with forward-thinking teams, and contribute to innovations that make technology accessible and impactful.

20 Years Old
7 Core Languages
Curiosity Level
Profile Photo
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Soumik - AI/ML & Web3 Developer

AI • ML • Web3 • Blockchain • Systems Programming

Building the future, one line at a time

Skills

💻 Languages

C
C++
Rust
Python
JavaScript
TypeScript
HTML/CSS

⚙️ Frameworks & Libraries

React
Next.js
Node.js
Tailwind CSS
TensorFlow

🧠 Domains

AI
Machine Learning
Web Development
Blockchain
Web3

🛠️ Tools & Platforms

PostgreSQL
Supabase
Vercel
Git
Linux
VS Code

Projects

AryanAI

Completed

Lightweight, cross-platform transformer model implementation written in pure C, designed for efficient training and text generation without external dependencies.

C Transformers ML Cross-platform

DataProcessorC

Completed

A robust, high-performance CSV processing tool designed for machine learning dataset preparation and data cleaning.

C CSV Processing Data Cleaning ML Pipeline

DyNeuro.py

Completed

Dynamic Neural Network Implementation - A Python implementation of a neural network that can grow by adding neurons to its hidden layer during training. Uses Adam optimizer and trained on XOR dataset.

Python Neural Networks Dynamic Architecture Adam Optimizer

Contact

Get In Touch

Ready to collaborate on cutting-edge projects? Let's build the future together!

📧

Email

itsmesoumik@gmail.com

💼

LinkedIn

linkedin.com/in/soumiksadhu

🐙

GitHub

github.com/sadhusoumik