Available for opportunities

Prathap AI & ML Engineer

Final-year B.E. student in AI & ML at DSATM, VTU. Building production-grade deep learning systems, scalable APIs, and full-stack web applications that translate data into real-world impact.

Get In Touch GitHub

prathap@portfolio ~ zsh

// profile.json

cat developer.json

{

"name": "Prathap",

"role": "AI & ML Engineer",

"cgpa": 8.22,

"skills": [

"LSTM", "GRU", "FastAPI",

"React.js", "Python"

"status": "open_to_work"

}

Technical Arsenal

Skills & Technologies

🤖

AI / Machine Learning

LSTMGRUDeep Learning NLPTensorFlowKeras Scikit-learn

🐍

Languages

PythonJava JavaScriptHTML5 CSS3Sass

⚡

Frontend & Backend

React.jsFastAPI Node.jsFlask StreamlitBootstrap

🗄️

Data & Visualization

MongoDBMySQL Power BIPandas NumPyMatplotlib

🛠️

Tools & Methodologies

GitGitHub VS CodeIntelliJ AgileScrum

Work History

Experience

Oct 2024 – Dec 2024

Infosys Springboard

AI / ML Intern

Built a Streamlit-based interactive dashboard and AI chatbot with responsive UI, improving user engagement through intuitive navigation and real-time data interaction.
Developed frontend components for credit risk visualization integrated with backend APIs, enabling real-time risk assessment and data-driven decision-making for stakeholders.
Collaborated in an Agile/Scrum team of 6 across 3 sprint cycles, coordinating with designers and backend engineers to deliver accessible, scalable UI architecture on schedule.

What I've Built

Projects

Featured

Hybrid Deep Learning Model — Stock Market Prediction

Engineered a hybrid LSTM–GRU deep learning model to predict stock prices from historical market data. Implemented advanced risk metrics including VaR, volatility tracking, and drawdown analysis. Deployed end-to-end with FastAPI backend and real-time ReactJS dashboard.

PythonLSTMGRU FastAPIReact.js

Project Lead

Food Waste Optimization System

Led a team of 4 to build an ML-powered food waste prediction platform. Designed an intuitive Streamlit UI for real-time ML insights, managed task allocation, and ensured timely sprint deliverables with full accessibility compliance.

PythonML Streamlit

NASA Hackathon

NASA Space Apps — Orrery Web App

Built a responsive Near-Earth Object (NEO) visualization web app with dynamic orbital simulations for the NASA Space Apps Challenge 2024, competing among thousands of global teams.

JavaScriptHTML CSS

Development

Library Management System

Designed and developed user-friendly frontend pages for book search, user authentication, and dashboard analytics, applying clean UI principles and semantic HTML for improved accessibility.

HTMLCSS JavaScript

Recognition & Achievements

Certifications

🏆

Infosys Springboard AI & Machine Learning Internship Completion Certificate (2024)

🚀

NASA Space Apps Challenge 2024 Participant, Global Hackathon — Built NEO Orrery Web App

🤖

Artificial Intelligence Certified in AI fundamentals and applied machine learning

📊

Data Science Certified in data science methodologies and analytics

🔐

Cybersecurity Certified in cybersecurity fundamentals and practices

🌐

Frontend Web Development Certified in modern frontend development techniques

💚

Volunteer — Way for Life Led school beautification and community awareness programs

Let's Connect

Get In Touch

I'm actively seeking opportunities in Software Engineering, ML Engineering, or AI Development. Let's build something great together.