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

• Led product for Sapien's AI evaluation platform, building infrastructure that enables human feedback and quality assurance for frontier model development.
• Scaled expert evaluation operations through annotation and RLHF tooling used by thousands of contributors to assess safety, reasoning quality, and output accuracy.
• Defined product requirements at the intersection of ML research and engineering, operationalizing model alignment objectives into measurable evaluation workflows.
• Influenced product positioning and commercialization efforts around AI trust and safety, strengthening Sapien's role in the emerging responsible AI stack.
• Executed 120+ discovery and go-to-market interviews to validate market demand, identify ICPs, and inform strategic roadmap decisions.
• Shipped a gamified onboarding experience that improved evaluator activation and accelerated progression through the contribution funnel.

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

• Managed 20+ concurrent client projects from planning to go-to-market, 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 via AI-assisted 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.

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 behavioral analytics and predictive modeling-powered campaigns.
• Owned product roadmaps across 34 sprints, shipping 70+ features with 65–80% sprint predictability.

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 tech stack migration from Elixir/Rails to Node.js; scoped feature sets, wrote the dev roadmap, and launched new release cycles.
• 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.
• Built data marketplace integrations (Snowflake, Liveramp, Eagle Alpha) for downstream NLP analytics, audience segmentation, and activation.