Building the trust layer for AI agents and models — enterprise-grade human evaluation and training data infrastructure.

• Leading product strategy for Sapien's AI data quality platform, defining the roadmap for human-in-the-loop evaluation systems that power leading foundation model companies.
• Driving the development of scalable annotation and RLHF pipelines, shipping tooling that enables thousands of expert evaluators to assess AI model outputs across safety, accuracy, and reasoning.
• Partnering with ML engineering and research teams to translate complex model alignment requirements into actionable product specifications and feedback loops.
• Shaping go-to-market positioning around AI trust and safety, establishing Sapien as a critical infrastructure layer in the responsible AI ecosystem.

Shipped design-to-code AI tooling — turning Figma mocks into production-ready applications using LLM-driven workflows.

• Managed 20+ concurrent client projects, shipping 1–3 features weekly through AI-driven workflows, agile sprints, and roadmap ownership.
• Launched 6 custom web apps from scratch, leveraging AI code generation and rapid prototyping to compress delivery timelines by 40%.
• Integrated eCommerce tools (Stripe, BigCommerce, Odoo) and headless CMS systems (Sanity) to build scalable, modular platforms — all orchestrated through AI-assisted development pipelines.
• Led 8 developers and 6 designers across fast-paced product cycles, embedding AI copilots into daily workflows to accelerate design-to-code handoff.
• Built an AI-powered feature tracker to centralize client feedback, increase roadmap visibility, and streamline delivery tracking.
• Led the B2C Tempo Kanban initiative, implementing AI-assisted project management systems that improved team velocity and collaboration.

Scaled a big-data and NLP-powered SaaS platform to 700K+ users — early-stage AI servicing through behavioral analytics and natural language processing.

• Led two agile teams across three SaaS products (B2C/B2B/B2M), supporting 700K+ users with NLP-driven analytics and data intelligence features.
• Managed high-profile client portfolio, running data-driven marketing and sweepstakes campaigns for Amazon, EA, Logitech, and Riot Games (average deal ~$1.5M).
• Increased active users by 35% through data-driven sweepstake campaigns powered by behavioral analytics and predictive modeling.
• Owned product roadmaps across 34 sprints, shipping 70+ features with 65–80% sprint predictability.
• Built scalable end-to-end data flows, integrating inventory management tools, OCR validation, purchase tracking, and fulfillment accuracy.
• Led tech stack migration from Elixir/Rails to Node.js; scoped feature sets, wrote the dev roadmap, and launched new release cycles.

Built big-data NLP platforms from the ground up — aggregating social and web data at scale to power audience intelligence and early AI-driven insights.

• Led 6-person team to build and launch two B2C SaaS platforms: Trufan Analytics (NLP-powered Instagram/Twitter/web data processing) and a Giveaways Platform, serving 500K+ users.
• Launched a web dashboard aggregating live data from 120K+ Google Extension users, building SQL-based insights and NLP-driven audience intelligence dashboards.
• Drove 20K+ user engagement by integrating the Google Extension with the Giveaways Platform, streamlining sweepstake entry and activation.
• Directed two major SaaS launches, managing OKRs and cross-functional dependencies end to end.
• Built data marketplace integrations (Snowflake, Liveramp, Eagle Alpha) for downstream NLP analytics, audience segmentation, and activation.