Tejas Rawool
Available for internships, open source, and AI product builds

AI Developer | Full-Stack Developer | ML Builder

TEJAS
RAWOOL

I build practical AI products and developer tools that turn complex ideas into usable systems.

Selected Focus

Useful AI systems

AI applications / machine learning systems / developer tools / full stack web apps

Form / Function

Practical systems, structural visuals.

Squares, spheres, and contrast blocks keep the hero expressive while staying true to the Bauhaus grid.

About

Focused on practical AI products, clean interfaces, and systems that feel usable.

I am Tejas Rawool, a computer science student building AI-driven applications, developer tools, and intelligent systems. My work focuses on turning machine learning ideas into real products that people can actually use.

AI Applications
Machine Learning Systems
Developer Tools
Full Stack Web Apps

Building products where machine intelligence feels clear, fast, and actually usable.

Approach

Start from a real workflow, reduce complexity, then design the ML or AI layer around utility.

Preference

Tools that combine good interface decisions with practical automation and measurable output.

Core Skills

Capability clusters built around what it takes to ship modern AI products.

This is not a wall of logos. The stack is organized by the systems Tejas repeatedly uses to design, build, and deploy usable software.

Frontend

ReactNext.jsHTMLCSSTailwind

Backend

Node.jsFlaskExpress

Programming

PythonJavaScriptTypeScript

AI / ML

Scikit-learnPandasNumPyMachine Learning

Tools

GitDockerMongoDBSQLite

Featured Projects

Featured builds focused on applied intelligence.

A smaller project set does a better job of telling the story. Each build below reflects practical AI thinking, product clarity, and usable engineering decisions.

Project 1

AI-Based Resume Screening and Candidate Ranking System

Product-led build with a clear use case, structured workflow, and measurable user utility.

AI-powered resume screening and ranking system built with Streamlit, NLP, and cosine similarity. It extracts, preprocesses, and ranks PDF resumes against job descriptions, then presents the results in a structured and visualized ranking workflow.

Primary Outcome

Practical UX, concise information flow, and a clear next action for the user.

StreamlitPythonNLP
GitHub
Open Live App

Project 2

Data Insight Viewer

Product-led build with a clear use case, structured workflow, and measurable user utility.

Data Insight Viewer is an interactive and AI-augmented Streamlit application that lets users upload CSV or Excel files and explore datasets through automatic summarization, visualizations, and lightweight NLP-assisted analysis.

Primary Outcome

Practical UX, concise information flow, and a clear next action for the user.

PythonStreamlitData Visualization
GitHub
Open Live App

Project 3

YTDownloadX

Product-led build with a clear use case, structured workflow, and measurable user utility.

YTDownloadX is a modern, high-performance YouTube video and audio downloader with a polished UI, particle animations, and glass-style effects. Built with Flask and yt-dlp, it focuses on a fast and seamless media download experience.

Primary Outcome

Practical UX, concise information flow, and a clear next action for the user.

PythonMedia ProcessingDesktop UI
GitHubDemo
Open Live App

Project 4

NutraLingo

Product-led build with a clear use case, structured workflow, and measurable user utility.

NutraLingo is a progressive web app that scans foreign-language food labels and translates ingredient risks into clear health insights based on a user's personal profile. It combines image processing, localization, and AI-assisted analysis into one usable flow.

Primary Outcome

Practical UX, concise information flow, and a clear next action for the user.

Next.jsAIOCR
GitHubDemo
Open Live App

Project 5

FlowTalk

Product-led build with a clear use case, structured workflow, and measurable user utility.

FlowTalk is a real-time multilingual chat platform that removes language barriers through AI translation. People communicate naturally in their preferred language while messages are translated instantly for everyone else in the conversation.

Primary Outcome

Practical UX, concise information flow, and a clear next action for the user.

Next.jsRealtimeTranslation AI
GitHub
Open Live App

Project 6

GitHub README Globalizer

Product-led build with a clear use case, structured workflow, and measurable user utility.

This Apify Actor fetches markdown documentation from any GitHub repository, translates it into chosen languages using Lingo.dev AI, and returns commit-ready files while preserving formatting for developer workflows.

Primary Outcome

Practical UX, concise information flow, and a clear next action for the user.

Developer ToolingAILocalization
GitHub
Open Actor

Builder Journey

A progression from learning code to building products with visible utility.

The story matters because it explains trajectory. Each phase adds more complexity, stronger product framing, and more public proof of work.

2023

Started Programming

Built programming foundations and began solving practical problems with code.

2024

Built ML Projects

Shifted from experimentation to end-to-end machine learning systems.

2025

Built AI tools and developer platforms

Started shipping products with clearer UX, automation, and real-world use cases.

2026

Open source and product development

Focused on public work, stronger engineering quality, and recruiter-ready execution.

Open Source Signals

Open-source activity as a signal of shipping discipline.

Public repositories, collaboration, and steady commits show how ideas move from prototype to maintained product work.

Public Work Lens

Repositories, stars, and contribution activity work together as a public proof-of-work layer.

View GitHub Profile

Repositories

43

Stars

1

Commits

368

Yearly Activity

368

Contribution Matrix

Live public GitHub activity from the last 12 months.

368 total

LessMore
MarAprMayJunJulAugSepOctNovDecJanFebMar

Technical Writing

Writing as a way to explain systems, not just announce them.

The strongest portfolio pieces are backed by technical clarity. These articles show how Tejas turns implementation decisions into readable engineering stories.

Contact

LET'S
BUILD
SOMETHING
MEANINGFUL

Open to internships, open-source collaborations, and product ideas that need thoughtful execution.

Email

tejasrawool.dev@gmail.com

GitHub

github.com/TejasRawool186

LinkedIn

linkedin.com/in/tejasrawool186

Twitter / X

x.com/TejasRawool186

Reddit

reddit.com/user/Competitive-Fun-6252