"Bridging the gap between Robust Backend Logic and User-Centric AI."
I am a final-year Information Technology student at Babu Banarsi Das Northern India Institute Of Technology, specializing in building Scalable Fintech Architectures and Hybrid AI Systems.
Unlike typical full-stack developers, I focus on System Design, Data Consistency, and Clean Architecture. I am currently seeking entry-level roles in Backend Engineering.
- 🔭 Currently working on: PayGuard - An enterprise-grade, idempotent payment processing backend – An AI-assisted backend system that detects early signs of burnout.
- 🌱 Learning: Advanced Microservices Patterns & System Design.
- 💼 Experience: Ex-Software Engineering Intern @ Sahind Technologies.
| Domain | Technologies |
|---|---|
| Backend Engineering |     |
| Data & DevOps |     |
| AI & Scripting |    |
| Frontend & Mobile |    |
A comprehensive Fintech operations management system.
- Tech Stack: Spring Boot, Microservices, MySQL, React Native.
- 💡 Architectural Highlight: Designed a Modular Monolith to Microservices architecture, allowing independent scaling of KYC, Wallet, and Loan modules without tight coupling.
An AI-assisted backend system that detects early signs of burnout.
- Tech Stack: Java, Spring Boot, Python (ML), Time-Series Data.
- 💡 Architectural Highlight: Implemented a Hybrid Decision Engine that prioritizes deterministic Business Rules over AI probability to ensure 100% reliable burnout alerts.
A Chrome Extension serving as a distraction-free AI pair programmer.
- Tech Stack: Java Backend, Gemini API, Chrome Extension API.
- 💡 Architectural Highlight: Engineered a Context-Aware Injection System that reads the DOM to provide hints directly inside the UI, reducing context-switching latency.
AI-powered job portal connecting job seekers with recruiters.
- Tech Stack: Spring Boot, NLP (Spacy), React, PostgreSQL.
- 💡 Architectural Highlight: Built an Automated Resume Parsing Pipeline that extracts entities and calculates ATS Compatibility Scores in real-time.