San Luis Obispo, California, United States
I build AI & data solutions that drive product growth and business impact. With a doctorate in computer science, I have expertise in stochastic modeling, machine learning, LLM development, and AIOps. I have led teams and projects in both startups and large organizations. My expertise spans: • 10+ years of conducting exploratory data analysis, ensuring data quality, building data models, optimizing and evaluating AI/ML models, and seamlessly deploying and integrating end-to-end machine learning pipelines. • 4+ years of hands-on LLM/GenAI development in HealthTech and EdTech domains. • 10+ years of data leadership and management experience My leadership style: • Strategic yet hands-on (player-coach) • Empathetic, pragmatic, and accountable • Dedicated to continuous growth I am passionate about turning data into actionable insights and using AI responsibly to create meaningful impact. Also, I am a humble recipient of the "Tribune Top 20 under 40" award for career excellence and community service.
- Architecting a platform that adapts continuously to new fraud patterns, regulatory shifts, and customer behaviours automatically. - Working hands-on with modern AI platforms and an emerging ecosystem of agent and orchestration tools to design, build and integrate AI driven features into a production SaaS environment. - Partnering closely with product management, platform engineering and data teams to ensure AI capabilities are secure, scalable and aligned with real customer needs.
- Contributing to advanced AI model development of multiple leading AI labs by designing complex technical training tasks across software engineering, data science, and system architecture domains. - Developing structured problem sets and evaluation materials to strengthen reasoning, coding accuracy, and architectural decision-making in LLMs. - Producing detailed, logically structured solutions to support AI training and benchmarking. - Reviewing and validating technical outputs for correctness, clarity, and completeness. - Maintaining high throughput and quality standards within large-scale AI evaluation workflows.
- Serving as an expert consultant on the architecture of NoRedInk flagship AI product, Grading Assistant, working with a cross-functional team of product managers, curriculum experts and engineers. - Managing and leading the data team, including data analytics, data science, and data engineering - Advancing NRI AI/ML capabilities and incorporating AI into NRI products by assisting in model selection, implementation, and optimization.
Leading the Commercial R&D data umbrella supporting 9 product teams, with data analysts, engineers and managers as reports. Set organizational KPIs for physician engagement and commercial clients’ return on investment (ROI) targets.
Formulated clear, long-range quarterly goals; actively maintained relationships with the executive leadership and product teams to align the data teams around the organizational strategic priorities
Served as a strategic partner to product development teams, shared insights and provided recommendations through effective communication and storytelling with data.
Led a team of 8 engineers to successfully build and integrate a comprehensive Prime Membership Accounting automation system, in active collaboration with other Prime teams