Blog
Thoughts on AI, Machine Learning, Computer Vision, and my journey in Data Science.
I Stopped Using Basic RAG in 2026. Here's What Replaced It.
Basic RAG is a one-trick pony. I built a hybrid system that fuses vector search, graph databases, and intelligent routing - with production security. Here's the architecture, explained simply.
Building a Multi-Agent Log Analytics Platform From Scratch
How we designed a 4-agent event-driven pipeline that processes 10K+ daily logs with semantic error grouping, anomaly detection, and intelligent workflow routing.
The Secret Life of a Data Detective
Why 80% of machine learning work has nothing to do with building models. A honest look at data quality, the art of cleaning messy datasets, and why we turn off the lights when we leave the room.
Why You Don't Use a Sledgehammer to Crack a Nut
A practical guide to choosing the right tool for the job in data science. From SQL to vector databases, understanding trade-offs is what separates junior engineers from architects.
Building Enterprise Agentic AI Systems: Lessons from Production Voice Agents
A deep dive into architecting production-grade conversational AI systems with real-time voice, LLM-powered analysis, and intelligent automation. Insights from building AI call center platforms.
Building an Intelligent Document Extraction System with Vision-Language Models
A deep dive into architecting a production-grade document extraction system that combines traditional OCR with Vision-Language Models to achieve 90%+ accuracy across diverse document formats.