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Senior Research Scientist, AI/ML

Dell Medical School at The University of Texas at Austin

Leading advanced AI/ML research programs, translating novel methods into validated models and deployed systems that advance scientific discovery and real-world healthcare impact. Operating at the intersection of research, engineering, and product to move ideas from experimentation into production. Highlights Include:

• Defining research agendas and technical roadmaps aligned with long-term scientific goals and downstream clinical and product priorities.
• Leading end-to-end research initiatives from problem formulation through modeling, experimentation, evaluation, and deployment of production-grade systems.
• Designing and implementing novel algorithms, training pipelines, and evaluation frameworks to improve model performance, robustness, and interpretability.
• Collaborating closely with engineers and product leaders to transition research prototypes into scalable, reliable AI systems.
• Publishing and presenting research across peer-reviewed venues, conferences, and internal forums to influence technical direction and best practices.
• Mentoring junior researchers and engineers, establishing standards for experimental design, reproducibility, and scientific rigor.

MBA Capstone Project, AI/ML

Workday

Shaped Workday’s global AI/ML product strategy regarding Accessibility. Conducted extensive customer and competitive analysis and research which resulted in creating and prioritizing high-impact solutions that segmented users, reduced costs, lowered enterprise risk, and improved UX for 70M+ end users worldwide. Resulted in influencing and informing the direction of Workday’s Accessibility AI roadmap. Highlights Include:

• Built and delivered a comprehensive market map of 50+ AI vendors; surfaced 8 strategic partnerships that aligned directly with Workday’s platform goals and unlocked multi-year co-development opportunities.
• Led a 6-month cross-functional research initiative with design, engineering, and exec leadership; drove iterative prioritization, synthesized insights into executive artifacts, and presented recommendations to customers and internal stakeholders, substantially increasing buy-in and accelerating Workday’s public AI roadmap.

Senior Technical Product Manager, AI/ML (24-25); Technical Product Manager, AI/ML (23-24)

UW Health

Conceived, developed, and commercialized premier AI/Epic technology which revolutionized quality of care at Wisconsin’s largest provider, lowering costs while also minimizing provider burn-out. Spearheaded initial research to uncover unmet needs, proposed solution, gained agreement across large, highly matrixed organization, and won approval to move forward. Successfully launched product. Highlights Include:

• Entrusted to audit and understand the current state of AI within UW Medical System. Collected and evaluated 50+ Use Cases in order to identify the biggest customer pain points. Presented findings to Senior Leadership and Executive Stakeholders in order to fuel progress with AI initiatives. Resulted in gaining ownership of UW’s AI/ML Roadmap.
• Achieved record-setting engagement of >90%.
• Saved >42,000 clinician hours in the first year alone by automating tasks that previously consumed up to 40% of nursing shift time.
• Built and productionized a real-time Databricks feedback pipeline that ingested usage telemetry and qualitative signals, cutting iteration cycles from months to days and directly supplying continuous prompt, retrieval, and UX optimization.
• Led technical integrations of GenAI agents with Epic, Best Buy Health RPM, and UiPath RPA platforms while implementing rigorous regulatory compliance and guardrails.

MCAT, ACT & SAT Teacher

The University of Wisconsin, Madison

Taught and mentored students preparing for the MCAT, ACT, and SAT exams, providing rigorous academic instruction, targeted practice, and personalized coaching to maximize performance and confidence. Designed and delivered lessons focused on high-yield content mastery, timing strategies, and error reduction. Developed individualized study plans, conducted one-on-one and group sessions, and coached students on exam-day mindset and endurance. Highlights Include:

• Delivered comprehensive instruction in MCAT, ACT, and SAT content areas, using structured methodology to improve student performance across sections.
• Designed and facilitated lessons, practice exams, and review sessions centered on high-yield topics and strategy reinforcement.
• Provided individualized feedback and study planning through dedicated office hours and small-group review meetings.
• Enhanced student confidence and test-day readiness by coaching on endurance, pacing, and growth mindset principles.

Technical Product Director, AI/ML (22-23); Senior Technical Product Manager, AI/ML (21-22)

CODAworx

Recruited to be a part of original team that conceived, created, developed and launched the first consumer marketplace for commissioned artists. Spearheaded every stage of product concept to commercialization including both front-end and back-end operations. Established analytics instrumentation, funnel optimization, and experimentation cadence that positioned CODAworx as the category-leading platform for public art commissions. Led, influenced and managed cross-functional team. Drove technical development with a focus on integrating ML. Highlights Include:

• Created and implemented AI recommender system that improved project match rates by 20% and increased repeat bookings by 15%.
• Doubled customer retention by designing and shipping self-service onboarding, in-app guidance, and personalized outreach flows via cohort analysis and NPS feedback.
• Managed back-end, supply chain functions. Redesigned core inventory, RFP, and transaction workflows using A/B testing and real-time analytics. Resulted in improving fulfillment time by 40%.

Research Scientist, Medicine

UW School of Medicine and Public Health

Conducted and led experimental biotechnology research, translating biological hypotheses into validated assays, datasets, and scientific insights supporting discovery and translational programs. Combined wet-lab, computational, and analytical approaches to drive reproducible scientific outcomes. Highlights Include:

• Designed and executed wet-lab and computational experiments spanning molecular, cellular, and systems-level biology.
• Developed and optimized experimental protocols, assays, and analytical pipelines to improve data quality, throughput, and reproducibility.
• Analyzed high-dimensional biological datasets to generate testable hypotheses and guide downstream experimentation.
• Collaborated with cross-functional teams across biology, chemistry, engineering, and clinical research to advance discovery pipelines.
• Documented and communicated findings through manuscripts, presentations, and internal reports to inform scientific strategy.
• Maintained laboratory compliance standards and mentored junior scientists and research staff.

Chief Product Officer, AI/ML (19-21); Technical Product Director, AI/ML (18-19); Technical Product Manager, AI/ML (16-18)

Gallify

Hand-picked to be part of an AI-Startup. Based on technical skills and leadership/teamwork abilities, progressed to CPO. Resulted in designing/launching an AI recommender system for e-commerce listings that increased click-through rate by 20% and boosted average order value by 10%. Highlights Include:

• Built core AR/VR features using Solidity smart contracts, Apple ARKit, and Object Capture, shipping 3+ major releases that enabled NFT marketplace transactions and immersive gallery experiences for iOS users.
• Led a team of 8–10 engineers across 4 sub-teams and 6 concurrent projects, establishing sprint cadences and one-on-ones that improved on-time delivery from roughly 60% to 85% and reduced average bug resolution time by about 35%.
• Served as Scrum Master and primary technical decision maker, setting product priorities and engineering standards that increased team velocity by roughly 30% while keeping scope and budget within 10% of projections.
• Owned full cycle hiring from sourcing to onboarding, growing the engineering team from 3 to 10+ engineers and reducing time to productivity for new hires by about 25% through structured onboarding and documentation.
• Managed engineering deliverables across time, scope, and cost, delivering all 6 active projects on schedule with an average variance of under 8% from initial estimates while maintaining quality standards that kept production incidents below 2% of deployments.

Associate Research Scientist, Medicine

Medical College of Wisconsin

Conducted independent and collaborative biotechnology research supporting discovery and applied research programs across molecular and cellular biology. Built a strong foundation in experimental design, data generation, and scientific communication. Highlights Include:

• Executed laboratory and computational experiments supporting studies in molecular biology, cell biology, and systems biology.
• Collected, processed, and curated experimental data to ensure accuracy, traceability, and reproducibility.
• Assisted in developing and refining experimental protocols, assays, and analytical workflows.
• Analyzed results and prepared figures, summaries, and reports supporting publications and internal reviews.
• Collaborated with senior scientists and interdisciplinary teams to meet research milestones.
• Maintained laboratory operations, safety standards, and supported training of new lab members.

Technical Product Manager, AI/ML (12-15); Associate Technical Product Manager (08-12)

MarketNest

Promoted from Associate Technical Product Manager to Technical Product Manager at an e-commerce startup focused on personalized retail discovery via AI/ML. Leveraged technical product skills to contribute to AI/ML recommendation features, improving customer engagement and order values through iterative launches. Highlights Include:

• Developed core recommendation algorithms using customer data pipelines, contributing to 4 feature releases that reduced cart abandonment by 20% in fashion retail segments.
• Collaborated with 6 engineers on sprint planning and technical specs, boosting on-time delivery from 65% to 80% via refined backlog prioritization.
• Supported Scrum processes as technical liaison, aligning product specs with engineering capacity to increase velocity by 20% within scope constraints.
• Assisted in hiring and onboarding 4 new engineers, creating documentation that cut ramp-up time by 20% for technical contributors.
• Monitored delivery metrics for 4 projects, achieving under 10% variance from estimates while maintaining incident rates below 1%.

Classical Piano Teacher

Wisconsin Music Teachers' Association

Taught and mentored students in classical piano, developing their technical foundation, musical expression, and performance skills. Designed structured lesson plans that built mastery through technique, theory, and artistry. Guided students through recitals, auditions, and competitions while fostering discipline and a lifelong appreciation for music. Highlights Include:

• Developed students’ foundational piano techniques including posture, hand positioning, scales, arpeggios, and phrasing using classical repertoire.
• Created individualized lesson plans incorporating sight-reading, ear training, music theory, and historical context of composers and styles.
• Prepared students for performances, auditions, and exams through structured practice schedules, defined milestones, and detailed feedback.
• Maintained consistent communication with students on progress, goals, and personalized strategies for musical growth.

Executive Director, AI/ML

AI@CMU

Establishing and scaling a student–alumni organization dedicated to fostering collaboration, education, and awareness around AI/ML research and applications across academia and industry. Highlights Include:

• Founding the organization's core structure, defining its mission, governance, and long-term strategy to connect research groups, alumni leaders, and industry practitioners.
• Organizing and moderating technical workshops, research talks, and panel discussions with leading AI/ML experts, driving interdisciplinary engagement across disciplines.
• Building partnerships with industry sponsors and research labs to support mentorship programs, hackathons, and recruitment pipelines for AI/ML-oriented career paths.
• Expanding membership and event participation through outreach and educational initiatives, positioning AI@CMU as a central hub for applied AI/ML learning at Carnegie Mellon University.

Executive Director, AI/ML

The Aurifex Foundation

Building and scaling open-source AI/ML and computational biology products that advance research reproducibility, model interpretability, and large-scale data analysis for academic and industry organizations. Highlights Include:

• Architecting and shipping end-to-end pipelines for biological data analysis, model simulation, and cognitive system inference using Python, PyTorch, and cloud-based infrastructure.
• Leading and mentoring a global, cross-functional research team of scientists, establishing agile processes, governance, and product roadmaps for scientific software.
• Directing technical strategy for advanced model optimization, reducing compute costs while improving interpretability and cross-domain generalization of deployed models.
• Expanding open-source community participation through strategic outreach, technical workshops, and research communication, strengthening the lab's contributor base and impact.

Member

Mensa International

Volunteer

UW Health

Eagle Scout

National Eagle Scout Association

Volunteer

National Alliance on Mental Illness

Volunteer

Madison Area Technical College

Volunteer

SSM Health

Volunteer

Boy Scouts of America

Volunteer

Ronald McDonald House Charities

Master of Engineering (MEng)

Princeton University

Electrical and Computer Engineering

• Accepted into Princeton's MEng Program

Chief Executive Officer and Advanced Management Program (AMP)

Harvard University

Management Science and Engineering

• Academic Merit Scholarship

Master of Business Administration (MBA)

Carnegie Mellon University

Management Science and Engineering

• David A. Tepper Academic Merit Scholarship
• Software Engineering Graduate Certificate
• Swartz Center for Entrepreneurship
• Dean's List

Master of Science (MSc)

The University of Texas at Austin

Artificial Intelligence Engineering

• Academic Merit Scholarship
• Dean's List

Doctor of Philosophy (PhD)

The University of Florida

Cellular and Molecular Biology (Part-Time Online)

• Academic Merit Scholarship
• Dean's List

Bachelor of Science (BSc)

The University of Wisconsin, Madison

Genetics and Genomics

• Albert J. & Adelaide E. Riker Academic Merit Scholarship
• Spring Forward Academic Merit Scholarship
• William F. Vilas Academic Merit Scholarship
• Qualtrics Academic Merit Scholarship
• Distinctive Scholastic Achievement
• Regenerative Medicine Certificate
• Graduated in 3 Years
• Dean's List

Master of Science (MSc)

The University of Colorado, Boulder

Computational Data Science

• Academic Merit Scholarship
• Dean's List

K-12, High School Diploma

Elmbrook Schools

General Education

• AP Scholar with Distinction
• Honor Roll