Reston, Virginia, United States
I build and lead AI products that transform how organizations use LLMs, agents, and retrieval systems to drive real business outcomes. My experience spans fintech, SaaS, and retail, where I’ve shipped production-grade GenAI platforms, multi-agent systems, RAG frameworks, and workflow orchestration capabilities adopted by hundreds of developers and thousands of end users. What motivates me is solving high-impact problems end-to-end — understanding the user pain, shaping the product direction, defining the architecture, and driving execution with engineering, design, and security. Whether it’s reducing compliance workloads by millions, accelerating developer onboarding by 40%, or building AI assistants that materially improve productivity, my focus stays on measurable impact. I’m now leaning fully into AI Product Management and product leadership: defining vision, scaling platform capabilities, and enabling teams to build responsibly with generative and agentic AI. I enjoy working in environments where strategy meets engineering — where we can deliver products that are technically strong, user-centered, and built for long-term value. If you’re building the next generation of AI platforms, developer tools, or agentic systems, I’d love to connect. Always happy to brainstorm, collaborate, or help bring bold ideas into production.
• Authored 13 graded Reinforcement Learning (RL) task specifications for complex domains, enhancing agent performance in production pipelines. • Developed a synthetic data generation framework producing 800MB+ DuckDB datasets, ensuring statistical consistency for effective RL generalization. • Designed four multi-domain RL training environments, including Fintech and Logistics, utilizing DuckDB and dbt for robust agent training.
• Accelerated pilot-to-production timelines by 80% through standardized signal contracts and architecture reviews. • Architected multi-agent systems that automate SOPs for SRE and DevOps, processing over 10K alerts daily. • Implemented LLM-as-a-Judge pipelines, increasing production task completion by 25%.
• Shaped the product strategy for JiraBot, identifying developer productivity gaps, validating requirements with stakeholders, and driving execution of an LLM-powered assistant that streamlined task management in Slack. • Defined vision, architecture, and roadmap for Knowledge AI — a GenAI-enabled enterprise search platform — resulting in patent recognition and company-wide adoption. • Conducted root-cause analysis and user interviews to redesign UAR workflows, leading to a 3× reduction in handling time (90 → 30 min) and $2M+ annual savings.