I design
experiences that
make life simple.

Owning the roadmap for an AI-powered student analytics platform — translating educator and learner needs into Agentic AI use cases, PRDs, and measurable adoption goals.

• Defined Agentic AI workflows using LLMs, RAG, embeddings, vector search, and Human-in-the-Loop validation to enable personalized learning-content generation and retrieval.
• Designed taxonomy-constrained RAG across grade, chapter, and topic hierarchies, using vector filtering and A/B testing to improve retrieval relevance and reduce off-topic or hallucinated content by 30–40%.
• Established LLM evaluation frameworks and rollout guardrails across accuracy, relevance, groundedness, and hallucination analysis, reducing product iteration cycles by 40% while maintaining response quality.
• Defined acceptance criteria, KPIs, user-feedback loops, and AI adoption metrics with engineering and education stakeholders, converting evaluation insights into backlog priorities and continuous product improvements.

Led the roadmap for AI/ML-driven FinTech SaaS products — translating client needs into predictive analytics use cases and personalized engagement solutions across 20+ clients.

• Analyzed 1B+ transactional records using Snowflake and SQL to identify high-value customer segments, enabling more targeted campaigns and stronger data-driven marketing decisions.
• Delivered predictive analytics capabilities using transactional, behavioral, demographic, and product signals to anticipate customer intent and support personalized offers and engagement strategies.
• Owned end-to-end delivery of 9+ product features, converting business requirements into user stories, backlog priorities, acceptance criteria, UAT plans, and GTM activities across data science, engineering, and client teams.
• Refined roadmap priorities through customer feedback, KPI analysis, and stakeholder input, aligning client needs with AI/ML capabilities and strengthening adoption of data-driven product features.

Built TutorSmith from 0→1 as a live tutoring marketplace — early pilot insights revealed gaps in classroom-engagement visibility and shaped TutorSmith's evolution into the Asobo student analytics platform.

• Defined product vision and core workflows for student discovery, tutor matching, scheduling, and session management through early-market pilots.
• Led customer discovery, market research, and competitive analysis to validate Product-Market Fit, prioritize high-value user problems, and align the roadmap with student, tutor, and education stakeholder needs.
• Reduced early customer churn by 15% through usability testing and Voice of Customer analysis, converting recurring user friction into prioritized MVP improvements and more intuitive workflows.
• Managed Agile product development and backlog priorities, balancing user feedback, business goals, and technical feasibility from validation through launch and continuous improvement.

Data product delivery for enterprise stakeholders — translating business needs into integration workflows, BI dashboard products, and actionable reporting.

• Translated stakeholder needs into data-product requirements, integration workflows, user stories, and acceptance criteria, improving alignment across business, engineering, and analytics teams.
• Improved data consistency across source systems through SQL, API integrations, data mapping, and validation workflows, strengthening the foundation for downstream reporting and decision-making.
• Delivered Power BI and Tableau dashboard products for operational and executive stakeholders, turning fragmented data into KPI reporting, performance trends, and actionable business insights.