Hi, I'm Amit Acharya 👋
Computer Science student specializing in Data Science with hands-on experience in AI/ML, full-stack development, and software engineering.
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About

I am a passionate Computer Science student at New Horizon College of Engineering, specializing in Data Science with a strong foundation in AI/ML technologies. Currently working as a Full Stack Developer at Lyzr AI, I have hands-on experience in building scalable applications, implementing AI solutions, and working with modern tech stacks. I enjoy participating in hackathons, building innovative projects, and contributing to the tech community through various platforms.

Skills

React
Next.js
TypeScript
JavaScript
Node.js
React Native
FastAPI
Python
Java
C++
HTML/CSS
MongoDB
PostgreSQL
MySQL
Firebase
AWS
Docker
Git
Expo
Vercel
Machine Learning
Data Science
AI/ML
TensorFlow
Pandas
NumPy
Express.js
REST APIs
Swift
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

FinRegent

An AI-powered financial analysis and regulatory compliance platform. Leverages machine learning to provide intelligent insights for financial data analysis, risk assessment, and regulatory reporting.

TypeScript

NammaMedic

A healthcare management platform designed for the Indian medical ecosystem. Connects patients with healthcare providers, manages appointments, medical records, and prescriptions in one unified application.

TypeScript

LabWise

A smart laboratory management system designed to streamline lab operations, experiment tracking, and resource allocation. Features intuitive dashboards for managing lab inventory, scheduling, and documentation.

TypeScript

E2B Streamlit

A code interpreter application built with E2B (Execute to Backend) and Streamlit, enabling secure sandboxed code execution in the browser. Execute Python code safely with an interactive UI powered by Streamlit.

Python

DarkSight

A dark web monitoring system that scrapes .onion links, analyzes content using BERT-based keyword classification, and categorizes websites as illicit or legal. Built with Python, PyTorch, and Streamlit for an interactive analysis interface.

Python

Phantom Cli

🚀 Phantom CLI - A monolithic Next.js application with AI-powered chat (Gemini), secure authentication, device flow authorization, and a powerful CLI tool. Features include conversation history, API key management, and autonomous agent mode.

TypeScript
Contact

Get in Touch

Want to chat? Just shoot me a DM with a direct question on Twitter or LinkedIn and I'll respond whenever I can.