With 10+ years of experience bridging engineering and product growth, I specialize in translating complex technical concepts—from multi-agent AI orchestration to payment billing engines—into high-performing products. I lead team execution (managing 8 data scientists and mentoring PMs) while remaining active in system design, writing PRDs, and analytics.
A balanced approach combining strategic leadership with direct technical execution.
I speak the language of developers. I write detailed technical specifications, collaborate directly on API design and data models, and partner with data scientists to construct non-deterministic agentic architectures.
I guide high-performing teams from the front. Recently managed a pod of 8 data scientists and knowledge engineers at Ask Media Group, and mentored 1–2 product managers to align multi-team deliverables.
I am highly analytical and metric-driven. From designing cost/revenue attribution layers in Snowflake to running multivariate purchase funnel A/B testing, I use data to optimize CAC-to-LTV and unit economics.
I build secure guardrails into high-speed releases. Managed PCI-compliant payment integrations (Vindicia, PayPro) and architected real-time automated safety gates to check output policy compliance at scale.
The languages, platforms, and databases I use to design, test, and deploy products.
Select technical initiatives, growth funnels, and integrations shipped throughout my career.
Designed and deployed a five-agent content generation and validation pipeline (keyword scoring, compliance verification, content planning, article generation, and quality review). In early 2026, Ask Media Group received recognition from OpenAI for exceeding 10 billion tokens consumed — one of the earliest enterprise-scale deployments of LLM technology in digital media, a direct result of this platform. Flow control is managed deterministically in Python, while LLMs handle judgment calls.
Architected and shipped an automated compliance service that acts as a real-time policy safety gate. It programmatically screens AI-generated content and search keywords against partner ad policies (Google/Bing) before publication, maintaining account health and reducing policy violations.
Owned the product strategy and execution for the paid marketing automation platform's rules engine. Built hourly-running Argo workflow jobs that pull performance telemetry, research keywords, and programmatically adjust bids and budgets across Google, Microsoft, and Meta APIs. This was a direct result of the OpenAI-based marketing automation platform I led at Ask.
Advised seed-stage AI platform serving real estate agents on product strategy and feature design. Conducted customer discovery interviews with agents to understand marketing pain points. Designed AI prompt workflows to generate branded social content, market reports, and listing content from MLS data and other inputs.
Shipped Related Search, an Elasticsearch-powered recommendation and ranking system that identifies candidate keywords and ranks them by user intent and commerciality. Led cross-functional delivery alongside Search Suggestions (autocomplete) and Smart Answers panels.
Led conversion rate optimization and subscription funnel pricing architecture. Integrated and customized third-party payment gateways (Vindicia, PayPro). Shipped A/B experiments restructuring payment paths and pricing options to lift user activation and checkout conversion.
Managed the custom search integration GTM partnership with Symantec. Coordinated technical telemetry, localized search APIs, and secure telemetry exchange, establishing a highly monetized customized browser experience.
Hands-on builds exploring agentic patterns, AI tooling, and product design. Built using Cursor, Claude Cowork, Anthropic API, Gemini, and modern AI development stacks.
Multi-agent content planning, generation, and compliance workflow using Cursor, Claude Cowork, and Streamlit.
Automated search query routing and keyword optimization tool to evaluate compliance risks and high-conversion intent.
Real-time compliance auditing dashboard that matches dynamically updated ad network policies against text assets.
Multi-modal agent that retrieves merchant profiles, scrapes websites, and synthesizes brand quality and risk profiles.
Interactive map-based route planner with contextual LLM summaries of local points of interest.
Multi-agent CX analysis tool that ingests customer feedback, performs confidence scoring, and integrates human-in-the-loop review.
Quick insights into how I balance leadership with hands-on technical execution.
Staying hands-on—whether reviewing Snowflake schemas, drafting technical specifications, or building prompt sequences—helps build trust with developers. In highly technical areas like AI pipelines or transaction systems, direct knowledge of system logic ensures our product roadmaps are realistic and aligned with architecture.
I have led multiple cross-functional teams, including line-managing a pod of 8 data scientists and knowledge engineers at Ask Media Group, and mentoring 1–2 product managers. My leadership style focuses on setting clear strategic parameters and technical outcomes, allowing developers to execute autonomously.
I treat compliance and risk as primary product features. In AI development, output safety is critical. By co-designing automated gating tools (like Sheriff) that validate content and keywords against API policies before they go live, we maintain safety and account health while allowing engineering pods to release code quickly.
Yes. I am equally comfortable operating as a Lead/Staff Individual Contributor (focused on co-architecting platforms and driving execution) or as a Director (focused on team growth, organizational alignment, and scaling product lines). In both capacities, I remain close to the technology and the metrics.
Sharing thoughts on multi-agent architectures, AI product design, and early enterprise LLM adoption.
An in-depth analysis of Anthropic's latest feature releases, discussing the architectural implications for multi-agent systems and how prompt caching optimizes cost and latency at scale.
Read PostKey takeaways from leading one of the earliest enterprise-scale LLM deployments in digital media, outlining token budgeting, validation loops, and multi-agent governance.
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