Deep dives on large language models, agentic systems, RAG pipelines, computer vision, and the craft of building AI products that actually ship.
How I designed a hybrid multi-agent conversational AI system with supervisor routing, competitive debate between agents, and expertise-aware personalization — achieving +11.9% accuracy over a single-model baseline while cutting unnecessary tool calls by 31%.
Read articleDense embeddings alone miss keyword-critical queries. I benchmarked pure FAISS, pure BM25, and a reciprocal-rank fusion hybrid on 5K enterprise docs — the results might surprise you.
Read articleLangChain, LlamaIndex, and CrewAI each handle tool use differently. Here's a practical breakdown of when to use each pattern, with real latency and reliability numbers.
Read articleHow I preserved NDVI vegetation signals while reconstructing cloud-obscured LISS-IV scenes. A walkthrough of the SAR-optical fusion pipeline, loss functions, and PSNR/SSIM evaluation.
Read articleContext windows are expensive. I built a hybrid architecture that offloads long-term sequential memory to an LSTM, keeping the Transformer focused on reasoning — here's what worked and what didn't.
Read articleA practical guide to shipping agentic AI systems on AWS — when to use serverless Lambda vs. persistent EC2, how to handle cold starts, and keeping costs sane at scale.
Read articleHow I used OpenAI's CLIP model and FAISS vector search to build a fashion product intelligence system — covering embedding strategy, deduplication, and query-time tricks.
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Technical writing on LLMs, RAG pipelines, agentic systems, and applied ML — published when it's ready, not on a schedule.
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