I am a software engineer focused on building robust, scalable backend systems and efficient architectures. While I possess full-stack proficiency, my core expertise lies in designing high-performance APIs, complex database schemas, and secure data flows. I approach development with a system-design mindset, prioritizing stability, maintainability, and architectural efficiency. Rather than simply building features, I architect the reliable, scalable foundations that drive seamless and effective digital experiences.
Years Of Experience
Projects Completed
System Architecture
Backend Systems
Full Stack, Frontend ,
Backend, Database
RECENT
Projects
AetherFlow: Distributed Agentic Workflow Engine & Enterprise Hybrid RAG
An enterprise-grade, distributed autonomous agentic workflow orchestration engine and multi-tenant Knowledge Intelligence platform. Built to overcome the critical reliability, latency, and hallucination bottlenecks of traditional LLM pipelines, the platform integrates a distributed execution architecture powered by Fastify, BullMQ worker pools, and Redis pub/sub with bidirectional WebSocket streaming for real-time node telemetry. The system features a resilient Dead Letter Queue (DLQ) with granular failure isolation, automated backoff, and state-preserving replays, paired with a self-healing distributed Redis cache utilizing distributed locks to eliminate thundering-herd conditions. Its retrieval tier executes an advanced multi-stage Hybrid RAG pipeline—featuring hierarchical parent-child semantic chunking, dense vector embeddings with pgvector, Reciprocal Rank Fusion (RRF), and neural Cross-Encoder reranking—delivering citation-grounded, zero-hallucination document intelligence across multi-tenant enterprise and single-user workspaces.
Enterprise Knowledge Intelligence Platform
An advanced, production-ready Hybrid RAG (Retrieval-Augmented Generation) search engine designed for high-accuracy enterprise document analysis. This system moves beyond simple vector search by implementing a multi-stage retrieval pipeline—combining dense semantic embeddings with BM25 keyword matching—to ensure contextually precise results. The platform features an intelligent document ingestion engine that handles complex file formats with recursive chunking, followed by a sophisticated rank-fusion layer that integrates reciprocal rank fusion (RRF) and cross-encoder reranking to minimize hallucination. Built on a robust FastAPI and Next.js foundation, the platform provides grounded, citation-backed answers with full chat session persistence, providing a secure, scalable solution for enterprise-level knowledge retrieval.
Distributed, Low-Latency Rate Limiter Service
This high-throughput, distributed Rate Limiter service provides a scalable, microservice-based solution for API protection, mitigating traffic spikes and brute-force exploits through a stateless architecture. By offloading logic to a centralized Redis layer using atomic Lua scripting, the system guarantees 100% data integrity under massive concurrency, eliminating the horizontal scaling blind spot. It implements a resilient Fail - Open circuit breaker pattern, ensuring that infrastructure failures never disrupt primary business traffic. Featuring lazy evaluation for memory efficiency and namespace isolation for diverse throttling surfaces, this platform delivers sub-millisecond, production-grade API governance for robust enterprise backend ecosystems.
Resilient Redis-Queue
ZestQueue is an enterprise-grade, fault-tolerant background job processing engine built with Node.js and Redis. Designed for high-reliability systems like distributed financial ledgers and multi-tenant SaaS platforms, it guarantees task execution even during catastrophic server crashes. The architecture utilizes Redis-backed idempotency locks to mathematically prevent duplicate transactions, alongside exponential backoff and a dedicated Dead-Letter Queue (DLQ) for failed jobs. It features an autonomous Sweeper mechanism to rescue delayed or orphaned processes (Visibility Timeouts), supports in-process concurrency pooling to maximize throughput, and includes a Fastify-powered observability API for real-time queue monitoring.
1.5 YEARS OF
ExperienceEvalueserve India
Junior Engineer (Full-time)
Contribute to the development and optimization of enterprise-scale applications using Angular 19, .NET Web API, SQL, and the MERN stack. Focus on building scalable applications, improving performance & reliability, optimizing APIs/queries, and implementing security & testing best practices.
Evalueserve India
Software Engineering Intern
Built a secure full-stack Learning Management System (LMS) using Angular 19, .NET Web API, and SQL. Implemented JWT authentication, Google reCAPTCHA v3, and Microsoft 2FA.
TECH
StackFrontend
Web & UI Frameworks
Backend
Backend & Architecture
DevOps
Cloud & Infrastructure
DataBase
Data & Systems
Gen AI
Agentic AI & LLMs
DSA
Algorithms & Problem Solving