Java and Spring Boot backend development, with growing experience integrating AI/LLMs and cloud infrastructure.
Final-year CS student specializing in Java backend development: Spring Boot, Spring Data JPA, Spring Security and REST APIs. Most of what I build talks to something else: a React frontend, a third-party webhook, or an LLM.
That led me into AI integration. GramSetu needed a Spring Boot core routing requests to a Python AI service, and LinkGuard needed real-time alerts over WebSocket/STOMP. On the cloud side, I’m AWS Academy certified in Cloud Architecting and building out EC2, S3, VPC and Lambda.
I’ve solved 140+ LeetCode problems in Java and was a Technology & Digital Transformation Intern at Mandava Science Foundation (Agile/Scrum, GenAI on Azure).
Backend services, AI integration and the infrastructure underneath them.
Multilingual AI advisory for crop disease, delivered over WhatsApp.
Real-time phishing detection for links shared over WhatsApp and Telegram.
From the API surface down to the database, plus what I'm actively building toward.
LinkGuard placed 2nd, surpassing 50+ competing teams.
Top 100 of 900+ participants, presenting the multi-modal AI agricultural platform GramSetu.
Session tracking and routing go through Spring Security before anything else gets wired up.
GramSetu's REST endpoints and service logic are covered by JUnit so defects get caught early, not in front of a judge.
I keep Java for the backend core and lean on AI-assisted development for the React and Python pieces, so I can move fast without losing backend quality.
Code reviews and technical discussions are where I want to keep improving — not just in a project's final week.
If you're hiring a Java backend engineer who's comfortable near AI integration and cloud infrastructure, let's talk.