Designing production-grade AI applications, distributed systems, and cloud-native platforms with a focus on scalability, reliability, and developer experience.
"Simplicity scales better than cleverness."
Distributed systems, microservices, and performance & scalability engineering.
RAG pipelines, Vercel AI SDK, Gemini, vector databases, and agentic workflows.
Designing scalable cloud-native applications with AWS, Azure, serverless architectures, and Kubernetes.
High-level architecture breakdowns of distributed systems, real-time platforms, and AI-powered applications.
Event-driven architecture using SSE, Redis persistence, QStash fan-out workers, and multi-channel delivery.
End-to-end Retrieval-Augmented Generation pipeline featuring document ingestion, semantic chunking, vector embeddings, Pinecone retrieval, prompt augmentation, and streaming AI responses.
Watch algorithms come alive — interactive step-by-step visualizations for DSA and system design.
Production RAG pipeline — upload PDFs and chat with an AI that references your documents.
Serverless event-driven architecture with fan-out worker queues and live SSE push updates.
High-scale URL shortener with AP architecture, O(1) Redis lookups & edge redirects.
Technical deep dives into distributed systems, AI engineering, and modern software architecture.
Personal portfolio. Features live projects in AI engineering, distributed systems & real-time architecture.
Deep technical articles on distributed systems, AI engineering, and modern software architecture.
Continuously deepening expertise across distributed systems, AI engineering, cloud-native architecture, and scalable platform design.