01Voice AI Evaluation Suite
A full-stack evaluation workspace for turning unpredictable voice-agent behavior into repeatable scenarios, traces, quality signals, and release decisions.
Product manager · AI builder
Product manager with 8+ years across high-growth startups and big tech, building Enterprise SaaS, voice agents, CX/CRM, data platforms, and consumer products, with a hands-on focus on AI Agents, LLMs, AI Evals and System design.Based in Sunnyvale, CA and frequently in New York City.

About me
I'm an AI-first product manager with 8+ years across product management and software engineering.
I've built enterprise SaaS, customer experience and CRM products, developer platforms, and consumer applications. More recently, I've focused on agentic and conversational AI — turning LLM capabilities into dependable products through well-designed workflows, evaluation, observability, and close collaboration with engineering and design.
I bring first-principles thinking, systems perspective, data, and customer empathy to product decisions. I'm especially interested in teams solving meaningful problems with AI, data, or intelligent systems where product craft and technical depth matter equally.
Outside work: tennis, reading, music, dance, and exploring new cultures.
Selected work
A selection of independent builds exploring how AI can become more reliable, useful, and understandable.
01A full-stack evaluation workspace for turning unpredictable voice-agent behavior into repeatable scenarios, traces, quality signals, and release decisions.
02A multi-agent system that transforms a natural-language goal into a structured investment strategy through specialized analysis and coordinated decision-making.
An end-to-end experiment using QLoRA fine-tuning to generate structured synthetic network-attack data for downstream analysis and validation.
A LangChain agent that selects financial tools, identifies portfolio imbalances, considers market context, and compares model behavior across providers.
Latest writing

Fast responses matter, but dependable Voice AI requires much more: natural turn-taking, reliable tools, thoughtful recovery paths, and metrics tied to real customer outcomes.
Read the 5-minute articleLet's compare notes
I'm always glad to meet thoughtful builders, product leaders, and teams working on useful technology.