Engineering Resilient Systems and Privacy-Centric AI Architectures.
Specializing in Backend Performance, Distributed Microservices, and RAG Pipelines. I build the invisible infrastructure that makes high-performance applications possible.
The "Under the Hood" Philosophy
I am a Software Engineering student driven by the mechanics of Distributed Systems, Compiler Design, and AI Engineering. While many focus on the interface, I thrive in the logic: optimizing database indexing, architecting fault-tolerant microservices, and engineering local-first AI tools that treat user privacy as a feature, not an afterthought. My current focus lies at the intersection of Retrieval-Augmented Generation (RAG) and Real-Time Infrastructure. I donβt just write code; I design systems engineered for scale, speed, and security.
Experience
Spearheaded frontend performance initiatives and modular component architecture.
- Developed a library of high-performance reusable UI components, decreasing technical debt and redundant code by 30%.
- Optimized Core Web Vitals via aggressive lazy loading and route-based splitting, resulting in a 25% boost in LCP (Largest Contentful Paint).
Engineered a multi-tenant SaaS CRM platform for large-scale event management.
- Refactored legacy SQL schemas and complex joins, reducing report generation latency from 15s to 6s (60% optimization).
- Designed and deployed a granular Role-Based Access Control (RBAC) system for secure multi-tenant isolation.
- Automated end-to-end billing logic, eliminating manual data-entry overhead and reducing operational errors by 40%.
Featured Projects
Local-First RAG Assistant
Hardened Security Infrastructure
Autonomous Brand Intelligence Agent
High-Throughput WebSocket Server
Technical Skills
Languages
Systems & Backend
AI & Data Infrastructure

Frontend Architecture
Achievements
Smart India Hackathon β Pre-Qualifier (SIH 2025)
Successfully advanced through the rigorous SIH 2025 pre-qualification phase.
Oracle Academy β Database Design
Professional certification in relational database modeling and normalization (Nov 2024).
Ready to collaborate?
I'm always open to discussing product design, collaborating on projects, or partnering.