AI Product Strategy
Building AI Products with real business ROI
Currently: Senior Consultant at World Wide Technology. Previously: TikTok, AI product strategy. World Wide Technology, GenAI product lead. I design and ship LLM and ML products that make workflows clearer, faster, and more useful.
Product and Architecture Snapshots
// PROJECTS
Selected Projects
Production AI systems and LLM/ML-powered products
// EXPLORATIONS
Thoughts, explorations, and learnings
Notes on building AI systems, product decisions, and things I'm learning along the way.
AI
Inference Engineering Optimizations
Inference engineering has become one of the most interesting areas in AI. As models become increasingly commoditized, the challenge shifts toward serving them faster, cheaper, and more reliably. The biggest breakthroughs I've seen aren't in the model itself, but in the systems built around it to optimize prefill + decoding processes.
AI
Defining AI Learning Loop
When scoping AI products, defining learning loop is important to build systems where more usage leads to incremental improvement to the product: what data is captured, what metrics are relevant, and how users can benefit from the improvement.
DeFi
Agentic Payment + Stablecoins
If autonomous agents become common, they will need native payment rails. Stablecoins coupled with DeFi wallet structure appear better suited than traditional banking infrastructure for high-frequency machine-to-machine transactions at internet speed.
Tech
Lessons from Evaluating ASR Systems
Accuracy is only one dimension of transcription quality. In enterprise environments, latency, speaker attribution, and domain-specific vocabulary, and multi-language support often matter just as much as WER.
// CONTACT
Build AI products with me.
Interested in building AI strategies, LLM products, agent systems, and real-world AI applications.