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.