• Overview: Led the instructional design and program management of advanced STEM and AI-focused learning pathways, utilizing deep user research to iterate on curriculum and deliver data-driven, equitable educational programs.

• Learning Experience Design (LXD): Applied core Instructional Design principles to architect individualized, data-driven learning pathways, optimizing learner mastery in advanced science and AI curricula.

• User Research & Needs Analysis: Conducted qualitative user research—including structured interviews with 40+ key stakeholders—to identify cognitive gaps and continuously iterate on product/program delivery.

• Cross-Functional Execution: Collaborated with cross-functional internal teams to ensure learning assets and instructional strategies promoted equitable access and scaled student-led STEM initiatives.

• Technical Research Mentorship: Managed an end-to-end interdisciplinary research portfolio, mentoring high-achieving cohorts through complex data analysis, scientific inquiry methodologies, and iterative feedback cycles.

Product Overview: Meta-Analysis AI is an AI-driven tool that automates and streamlines the meta-analysis lifecycle, reducing research time, increasing accuracy, and improving consistency for B2B/B2C users.

• Product Strategy & GTM: Led the end-to-end Product Life Cycle (PLC) and directed go-to-market strategy, balancing technical engineering constraints with pedagogical integrity to ensure ethical AI-driven data extraction.

• Data-Driven Impact: Developed evaluation frameworks benchmarking AI outputs against human standards—achieving a 90% reduction in literature review time and an 80% improvement in data interpretation accuracy.

• Cross-Functional Leadership: Managed an 8-person Agile/Scrum team (Engineering, UX, Data Science, PMs), translating learning science requirements into technical user stories and sprint roadmaps.

• User-Centric Design: Conducted foundational user research and Voice of the Customer (VoC) interviews to synthesize qualitative findings into actionable features that solve specific cognitive barriers.

Led the 0-to-1 design and cross-functional rollout of an AI Product Management curriculum, bridging cognitive science with Agile product execution for both students and transitioning tech professionals.

• Product Strategy & LXD: Architected 8 project-based learning modules utilizing GenAI as a "co-pilot." Applied Backward Design to align curriculum with core tech industry competencies and responsible AI frameworks.

• Data-Driven Evaluation: Designed robust assessment frameworks (A/B testing, feedback loops) to measure learner engagement, technical self-efficacy, and overall program ROI.

• Cross-Functional Scaling: Partnered with diverse stakeholders and Subject Matter Experts (SMEs) to launch a scalable, consistent professional development model across multiple learning environments.

• AI Product Mentorship: Mentored professionals through the end-to-end product lifecycle—coaching them on PRDs, GTM strategy, roadmapping, system design, customer segmentation, and product success metrics.

MathPal AI is an innovative EdTech platform that leverages AI to provide personalized and engaging math learning experiences for K-5 students. By dynamically adapting to each student's learning pace and needs, MathPal AI enhances understanding and motivation through interactive exercises, real-time feedback, and gamification features. Our mission is to make math learning fun, accessible, and effective for young learners.

• Conducted foundational learning science research and extensive literature reviews on STEM pedagogy, translating complex theoretical findings into actionable curriculum frameworks for university-wide implementation.

• Analyzed large-scale educational datasets using advanced statistical methods to evaluate program impact, resulting in 8 peer-reviewed publications on evidence-based learning strategies and inclusive pedagogical practices.

• Designed and implemented evaluation frameworks for NSF-funded initiatives, utilizing feedback mechanisms and surveys to measure the effectiveness of active learning strategies in STEM.

• Led cross-functional stakeholder engagement, collaborating with faculty and research leaders to align program roadmaps with equity initiatives and long-term educational goals.

• Managed end-to-end research lifecycles, from securing federal grant funding to disseminating findings at national conferences, ensuring all milestones were met within a high-velocity academic environment.