Java Backend Developer • Spring Boot • REST APIs

I am a final-year B.Tech student specializing in Artificial Intelligence & Machine Learning with hands-on experience in
full-stack development using React.js, Spring Boot, and MySQL.

I am also a Java Backend Developer experienced in designing and building
secure, scalable RESTful APIs using Spring Boot, with a strong focus on clean architecture and system design.

I enjoy working on real-world backend systems, integrating AI-powered services (Gemini API, ChatGPT, OpenRouter),
and continuously improving code quality, performance, and scalability.

• 💻 Backend-focused developer with a clean architecture mindset
• 🔐 Experience with JWT authentication & role-based access control
• 🤖 AI integration experience (LLM APIs, OCR, CV models)
• 🌱 Actively contributing / preparing for GSSoC
• 🧠 Strong foundation in DSA & problem-solving
• 🎯 Career goal: High-impact backend / platform engineer

Tech Stack: Java, Spring Boot, React, Tailwind CSS, MySQL, JWT, OCR, LLM APIs, REST API

• Designed and developed a full-stack expense management platform for tracking income, expenses, and savings.
• Built secure REST APIs with Spring Boot using JWT-based authentication and role-based access control.
• Integrated OCR pipelines and LLM APIs to automate expense data extraction and generate AI-driven savings insights.
• Developed an interactive analytics dashboard using React and Tailwind CSS.
• Implemented MySQL-backed persistence for user profiles, transactions, and preferences.

👉 Repository:
https://github.com/divyanshkande/finsage

Tech Stack: React, Spring Boot, MySQL, LLM API, Leaflet (OpenStreetMap), Google Maps

• Built an AI-powered travel planning application generating personalized, day-wise itineraries.
• Integrated LLM APIs to create structured Morning / Afternoon / Evening schedules.
• Implemented map-based visualization using Leaflet with pinned locations and card-based UI.
• Enabled real-time navigation via Google Maps using latitude & longitude coordinates.
• Used MySQL to persist user data, trip preferences, and generated itineraries.

👉 Repository:
https://github.com/divyanshkande/Raahi

Tech Stack: Python, YOLOv8, OpenCV, Computer Vision

• Developed a real-time computer vision system using a custom-trained YOLOv8 deep learning model.
• Implemented object detection, bounding boxes, and confidence scoring for accurate wildlife classification.
• Built live video and screen-based detection pipelines using Python and OpenCV.
• Focused on performance optimization and real-world detection accuracy.

👉 Repository:
https://github.com/divyanshkande/Wildlife-Animal-Detection-Using-Computer-Vision

• 🏅 Software Engineering Job Simulation — JPMorgan Chase & Co

• 📧 Email: divyanshkande04@gmail.com
• 💼 LinkedIn: https://linkedin.com/in/divyansh-kande-608a85266
• 🧑‍💻 GitHub: https://github.com/divyanshkande

⭐ Open to internships, backend roles, and open-source collaboration