Resume

Full-Stack Developer & UI/UX Designer with expertise in building scalable web applications and creating intuitive user experiences.

Summary

Jeevan P Naik

Computer Science student (8.7 CGPA) with expertise in full-stack development (MERN Stack) and UI/UX design. Developed multiple web applications focusing on user-centric solutions and scalable architecture.

  • Moodkeri, Hegde, Kumta, Karnataka
  • +91-8618621106
  • naikjeevan66@gmail.com

Education

BE - Computer Science & Engineering

2021 - 2025

Mangalore Institute of Technology & Engineering, Karnataka

CGPA: 8.7

Pre-University Course (12th)

2019 - 2021

Saraswati PU College, Kumta

Percentage: 91.5%

Secondary Education (10th)

2017 - 2019

C V S K High School, Kumta

Percentage: 91.36%

Skills

  • Programming Languages: Java, Python, JavaScript
  • Frontend: HTML, CSS, React.js, Bootstrap
  • Backend: Node.js, Express.js, Spring Boot, Flask
  • Databases: MySQL, MongoDB, Firebase
  • Tools & Platforms: VS Code, Eclipse, GitHub, Figma, Blender, Canva, DaVinci Resolve
  • Technologies: Web Development, UI/UX Design, API Integration, Responsive Design

Internship

Java Full Stack Developer Intern

Infosys Springboard | June 2025 – Present

Project: InsurAI – Corporate Policy Automation and Intelligence System

Technologies: React.js, Java Spring Boot, MySQL, JWT, Spring Scheduler, AI Analytics, Email

  • Developed a corporate-level insurance management system to automate policy workflows and claim handling for Employees, Agents, HR, and Admin roles.
  • Implemented secure role-based authentication with JWT, ensuring scalable access control across user roles.
  • Integrated AI-driven fraud detection and predictive analytics, improving claim validation efficiency by 40%.
  • Automated email notifications and built real-time dashboards with exportable reports for HR/Admin.

Full Stack Developer Intern

Inventeron Technologies | Feb 2025 – Jun 2025

Project: Language Learning Platform

Technologies: React, Bootstrap, Web Speech API, Node.js, Express.js, MongoDB, OpenAI, Google OAuth 2.0

  • Built an AI-powered MERN stack language learning platform supporting 10+ languages with chatbot, speech recognition, and flashcards.
  • Integrated Google OAuth and JWT authentication for secure access and user progress tracking.
  • Optimized backend performance, reducing API response time by 30% in test environments.

Full Stack Developer Intern

Tekkybench Technologies and Innovation | Oct 2023 – Nov 2023

Project: Event Management Platform

Technologies: HTML, CSS, JavaScript, Bootstrap, PHP, MySQL

  • Developed an event management platform with registration, ticketing, and real-time analytics features.
  • Implemented scalable architecture to handle high traffic and ensure seamless event execution.

Projects

Smart Attendance System using Face Recognition

Apr 2025

Technologies: Python, Flask, OpenCV, PHP, MySQL

  • Developed a full-stack attendance system integrating Flask + OpenCV API with PHP/MySQL web dashboard.
  • Implemented real-time face recognition and automated attendance logging with role-based access.
  • Built an admin dashboard with analytics and CSV/PDF export, reducing manual roll-calls by 80%.

SoilSense – AI-Powered Crop Recommendation

Jun 2024

Technologies: Python, Flask, Machine Learning, OpenAI API

  • Built a deep learning system to classify soil types and recommend suitable crops with 92% accuracy.
  • Integrated real-time weather APIs to enhance recommendation precision.
  • Implemented multilingual UI with live camera access for farmers.

Tuberculosis Detection System

Dec 2024

Technologies: Python, Flask, TensorFlow, CNN, Grad-CAM

  • Developed a CNN-based system to detect tuberculosis from chest X-rays with 92% validation accuracy.
  • Provided real-time visual explanations (Grad-CAM) and confidence scores for diagnosis support.
  • Created a web-based interface enabling instant uploads and results within 3 seconds.