"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.
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๐ญ Currently working on: โFlashMart โ High-Throughput Flash Sale Inventory Engine โ An Enterprise-Grade High-Throughput Inventory Engine.
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๐ฑ Learning: Advanced Microservices Patterns & System Design.
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๐ผ 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.
- ๐ก Architectural Highlight: Designed a Modular Monolith to Microservices architecture, allowing independent scaling of KYC, Wallet, and Loan modules without tight coupling.
๐ง Flow-State-AI
An AI-assisted backend system that detects early signs of burnout.
- Tech Stack: Java, Spring Boot, Python (ML), Time-Series Data.
- ๐ก Architectural Highlight: Implemented a Hybrid Decision Engine that prioritizes deterministic Business Rules over AI probability to ensure 100% reliable burnout alerts.
๐ก๏ธ PayGuard
PayGuard is a robust, backend-only payment and recharge processing system designed to simulate the transactional guarantees of real-world fintech applications.
- Tech Stack: Java SpringBoot, Redis, Idempotent API.
- ๐ก Architectural Highlight: Request Validation, Redis Idempotency Check (O(1) Time), Optimistic Locking (@Version).
AI-powered job portal connecting job seekers with recruiters.
- Tech Stack: Spring Boot, NLP (Spacy), React, PostgreSQL.
- ๐ก Architectural Highlight: Built an Automated Resume Parsing Pipeline that extracts entities and calculates ATS Compatibility Scores in real-time.