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Backend Engineer (Go/Node.js) • Distributed Systems & Microservices • High-Performance Architecture @ Scale
🚀 High Performance
Optimizing latency & throughput for distributed systems.
🔍 Semantic Search
Building intelligent retrieval systems with vector DBs.
🤖 AI Integration
RAG pipelines & LLM-powered automation tools.
🏗 Featured Projects
Candidate Ranking Microservice
Designed and implemented a real-time candidate ranking microservice using Go to process and score applicants based on job descriptions. Built a clean, responsive frontend dashboard with React and Next.js for recruiters to view and manage candidate rankings. Deployed the application on AWS using Docker and ECS, demonstrating fast iteration and end-to-end feature ownership.
GoReactNext.js
Edvoy Genie (AI Assistant & Chat Platform)
Architected and delivered a conversational AI assistant from the ground up, utilizing a Retrieval-Augmented Generation (RAG) model with OpenAI LLMs and Mongo Vector Search to provide accurate, context-aware responses to student queries. Engineered tool-calling capabilities allowing the AI to interact with internal APIs. Built a low-latency, real-time messaging layer using PubNub and Server-Sent Events (SSE).
PythonFastAPIRAG
🧠 About Me
I build scalable backend architectures that reduce latency, increase throughput, and integrate intelligence into real-world products. With 5+ years of experience across microservices, semantic search, and LLM-powered automation, I focus on results — not just code.
### 📌 Highlights
- Increased search accuracy by 35% & reduced P95 latency 25% using Elasticsearch + semantic ranking
- Designed Google Zanzibar-style auth with gRPC — 30% faster permissions checks for 100k+ users
- Built RAG-powered AI assistant automating 40%+ student support queries
- RabbitMQ-based async processing → 50% higher throughput, 20% cloud cost reduction
### 🧠 Interests & Strengths
Distributed systems, real-time messaging, LLM-tooling, retrieval ranking, search relevance, Go for HPC
Tech Stack → Go • TypeScript • Node.js (NestJS) • Python • PostgreSQL • Redis • Elasticsearch • AWS • Docker • RabbitMQ
### 🚀 Currently
- Pursuing Masters in Data Science (Deakin University, AU)
- Building ranking/diff retrieval engines + scaling microservices in production
- Open to roles in backend platforms, AI infra, search systems, or distributed architectures
Let’s connect if you’re building something that needs to run fast, handle scale, and think intelligently.