kevaljamnapara.me
Available for internships · Sep-Oct 2026

Keval
Jamnapara.

Building Production-Ready Web Applications, AI Tools, and Scalable Backend Systems.

Full-stack MERN & AI builder focused on real-world projects, clean code, and production applications. Shipped multiple systems with 2 internships completed.

5+ Projects Shipped
2 Internships Completed
8.22 CGPA
MERN + AI Builder
keval@portfolio ~
Currently Seeking Software Engineering Internship
Availability Immediate
Location India
Remote Available

About

Who I Am

I'm Keval Jamnapara, a Computer Science student at L.J. Institute of Engineering & Technology and a Full Stack Web Developer who builds things instead of just studying them.

What I Build

In the last 2 years I've shipped an AI chatbot powered by Google's Gemini LLM, a disease prediction model using 3 ML algorithms, a full-stack team collaboration platform, a real-time weather app, and a banking dashboard — all production-quality, end-to-end projects.

Experience

Interned at INFOLABZ IT Services building production ML pipelines with scikit-learn and Pandas, and at Praxware Technologies engineering Python web applications with RESTful APIs.

Current Focus

Currently deepening my expertise in the MERN stack and exploring AI integrations. Seeking internship opportunities as a Full Stack Developer or Software Engineer for 2025–2026.

5+ Projects Shipped
2 Internships
8.22 CGPA

Skills & Technologies

Frontend

React JavaScript HTML5 CSS3 Responsive Design DOM

Backend

Node.js Express.js MongoDB JWT REST APIs Socket.io

AI / ML

Python scikit-learn Pandas NumPy Gemini API Streamlit

Tools

Git GitHub VS Code Postman Jupyter Figma
Python JavaScript React Node.js MongoDB Express scikit-learn Gemini API Git Python JavaScript React Node.js MongoDB Express scikit-learn Gemini API Git

Work Experience

INFOLABZ IT SERVICES

Data Science Intern June–August 2024
  • Built and trained supervised ML models (Random Forest, Logistic Regression) for internal data classification tasks using scikit-learn and Pandas.
  • Preprocessed and cleaned datasets of 10,000+ rows — handling missing values, feature encoding, and train/test split pipelines.
  • Contributed to end-to-end ML workflow: data ingestion → model training → evaluation → results reporting.
  • Collaborated with the core ML team on 2 live production data tasks over the 3-month internship.
Python scikit-learn Pandas NumPy Jupyter

Praxware Technologies

Python Web Dev Intern August 2023
  • Engineered Python-based web application features from scratch over a 15-day intensive sprint.
  • Implemented RESTful API integrations and backend logic for web service endpoints using Python.
  • Applied MVC architecture patterns and participated in daily agile standups with the development team.
Python REST APIs MVC Agile

Featured Projects

Certifications

GitHub Activity

Public Repositories
Top Languages
Member Since

Currently Looking For

Software Engineering Internship
Backend Development Internship
Full Stack Developer Internship
Open Source Contributions
Remote Opportunities

Let's Build Something Great

Open to internships, freelance projects, and interesting problems. If you have something worth building, let's talk.

India · Remote Available