Dineshk·2d agoWhen the Model Has to Change: Four Problems That Tell You It’s TimeFrom document extraction and computer vision to LLM fine-tuning: four engineering problems that taught me when to train, when to adapt, and…
Dineshk·5d agoFrom Voice to Action: Connecting LLMs to Real-World ApplicationsA voice agent that changed real data in a task-board tool: what worked in the demo, what broke after it, how I redesigned it, and what…
Dineshk·Nov 6The intelligence stack: from engineered data to enterprise intelligenceHow an engineered data foundation grows into a multimodal, context-aware, agentic system, what each capability does, how they connect, and…
Dineshk·Nov 3Great AI starts with great engineering, not just great modelsPart 1 of a series on my experiences building AI systems: the problems I ran into, how I approached them, and what I learned along the way.
Dineshk·Jul 19My NCP-AAI Study Plan: A Domain-by-Domain ChecklistA domain-by-domain checklist for the NVIDIA-Certified Professional: Agentic AI exam — built around NVIDIA’s own blueprint, not a random…
