Lead Software Engineer with 7+ years designing distributed systems, AI-powered applications, and cloud-native platforms.
I write deep technical articles on distributed systems, AI engineering, system architecture, and engineering leadership — sharing practical lessons from building production systems.
My work focuses on designing intelligent, scalable software systems— combining distributed systems, AI engineering, cloud-native architecture, and modern web technologies to solve real-world engineering challenges.
Microservices, event-driven architecture, Kafka, Redis, consistency & scalability
LLMs, RAG pipelines, vector databases, AI SDKs & production AI systems
AWS, Azure, serverless platforms, Kubernetes & resilient infrastructure
Next.js, React, TypeScript, Node.js & high-performance full-stack systems
Most engineers learn DSA by reading pseudocode. I wanted to watch it. Here's how I built AlgoLens — 25+ interactive algorithm and system design visualizers — with zero external animation libraries.
Building real-time, event-driven architectures usually requires expensive persistent servers. Here is how I built a production-grade, fan-out notification engine — entirely serverless — using Next.js 16, Upstash Redis, and QStash.
RAG (Retrieval-Augmented Generation) is the most important AI architecture pattern of 2025. Here's how I built a production-grade document assistant — end to end — using Next.js 16, Google Gemini, and Pinecone.