1st Product hire, working directly with founders to provide accessible AI-native search for developers. Under my stewardship of the roadmap, we increased MAUs by 4.5x, shipped 2-3 new product launches per month to solve customer needs, and increased product usage by 2.6x.

Strategic AI Integration: Tailor Large Language Model solutions to enhance product innovation and operational efficiency, ensuring a seamless fit into existing workflows.Agile Project Management: Employ agile methodologies to expedite product development and market responsiveness, navigating the complexities of AI-driven strategies.Sustainable Growth: Drive startups towards sustainable growth and competitive advantage by leveraging the transformative potential of LLM technologies.

MedCred is a fintech start-up offering a differentiated, in-house medical financing SaaS product to surgeons. This allowed patients to afford the care they needed and physicians to increase profit per procedure. As head of product, I synthesized the value prop into a product vision, collaborated with finance and legal to ensure compliance and launched MVP product offering that was able to grow revenue.Highlights:(1) Secured two early customers estimated to generate $16M in originated loans/year by building an A-Z underwriting process that facilitated patient loans. This included working cross-functionally with legal, financial, and technical stakeholders to create a website, a legally compliant patient application process, a loan servicing workflow, and physical marketing materials that were available for the medical office.(2) Saved $40k in technology costs by creating a scrappy product solution that satisfied patient, physician, and underwriter needs.(3) Navigated Fair Credit Reporting Act criteria to get MedCred certified to pull consumer credit in four weeks. Involved securing office space, bolstering data-handling practices, and liaising with on-site inspector.(4) Identified legal risks through competitor analysis and updated our underwriting process mitigate risk.(5) Developed pricing strategy by working backwards from the value we generated for medical practices.(6) Validated feasibility of profitable business by building a cashflow model that forecasted monthly revenues/expenses and identified requisite investment required to stand up business.

Highlights:(1) Doubled engagement with proactive camera alerts for Alexa mobile app and Echo devices by leading cross-functional team to launch support for Computer Vision (CV) events from device partners (Google, Ring, etc.) to over 4MM Alexa customers.(2) Boosted the number of partners supporting CV events by over 30% through collaboration with Solution Architect and Engineering teams to resolve key issues blocking partners from integrating with Object Detection Sensor API.(3) Identified leading cause of customer churn from CV alerts by conducting a 700+ response post-launch survey. Utilized learnings to modify long-term product roadmap and implement a short-term solution that reduced customer churn by 10%.(4) Collated customer input, market research and direct feedback from B2B partners to define a long-term product roadmap for a new safety sensors and financial services initiative, estimated to drive $300M+ in annual revenue upon maturity.(5) Presented product strategy to key B2B partners’ executives, persuading three national companies to commit as early adopters.(6) Navigated complex national and international regulatory environment by working with legal stakeholders to ensure that new products were compliant with relevant regulations such as the Biometric Information Privacy Act and GDPR(5) Collaborated with Research team to facilitate usability testing for device onboarding experience.(6)Served on hiring committee

Classification and Policy Platform (CPP) is part of Amazon Selection and Catalog Systems (ASCS): https://www.amazon.jobs/en/teams/ascsHighlights: (1) Increased shopper selection and grew revenue by an estimated $2B/year by launching a new feature that enabled non-technical users to leverage classification algorithms to filter prohibited 3rd party seller content while maintaining the base retail offering.(2) Saved millions in fees to EPA for improper treatment of pesticides by leveraging classification algorithms to identify pesticides, updating API schema, modifying UX, and facilitating integration with dependent technical services. Increased pesticides identified by 20x in one-third the budgeted time.(3) Oversaw update of Policy Manager API and semi-structured class database to enable use of multi-class machine learning models and resolve engineering debt, resulting in 36% latency reduction in the API and 2 hours/week of engineering work savings.(4) Led cross-functional initiative to launch multi-language support for a single policy, reducing policy authoring overhead by 83% and improving accessibility for non-English-speaking 3P sellers who were flagged by policy.(5) Implemented Agile client onboarding process that increased client onboarding speed by 33%, reducing workload on engineering.(6) Served as defacto software development manager/Scrum Custodian during a time of personnel transition.

James R. Swartz Entrepreneurial FellowTechnology Strategy and Product Management trackFinalist in the McGinnis Venture Competition

Helped over 20 masters students craft and hone communication for interviews, presentations, or other venues earning 5/5 star review ratings.

Teachers assistant for graduate class, 'Commercialization and Innovation: Strategy' taught by Craig Markovitz.Class link: https://www.cmu.edu/tepper/programs/courses/45807.html

Highlights(1) Co-founded and led a 5-person cross-functional team at an NSF-funded company using machine learning to predict construction costs faster and with comparable accuracy.(2) Identified potential market inefficiencies in construction cost estimating and developed a business plan and product blueprint to address them.(3) Validated customer demand for a data-backed objective approach to construction cost estimation through extensive industry decision-maker outreach.(4) Successfully secured funding from the NSF I-Corps program by effectively communicating problem, solution, and market size.(5) Finalist in the prestigious McGinnis Venture Competition.

Robotics company leveraging our experience building and deploying robots at scale to develop robot-powered tools that perform important tasks on construction sites.Highlights:(1) Developed a comprehensive product roadmap and metrics system, aligning engineering goals with business objectives and tracking progress via an intuitive dashboard.(2) Conducted 50+ customer discovery interviews, adding 10 commercial construction company accounts to pilot pipeline and attracting industry leaders to the Board of Advisors.(3) Optimized pricing model, highlighting the importance of location logistics over robot speed and increasing revenue potential by 4x.(4) Implemented successful pilot engagement process after identifying and addressing previous shortcomings, resulting in improved testing conditions and a 100% success rate going forward.

Sense360 is a self-service B2B SaaS insights platform for retail brands. Made critical product contributions that led to 300% YoY revenue growth.Highlights:(1) Designed, built and launched core product using SQL and Python that allowed customers to understand the impact of their Limited Time Offers (LTOs), resulting in 100% customer adoption.(2) Optimized product efficiency of LTO product by implementing outsourcing procedures that reduced analyst overhead by 75% for each report generated.(3) Cross-functionally collaborated with marketing to launch a client-personalized product in that autonomously sent a weekly scorecard to prospective clients that shortened the insights delivery cycle by 99%, increased sales leads by 5x, and reinvigorated stalled negotiations.(4) Performed ad hoc market analyses that doubled revenue within a week and served as the blueprint for future core products.(5) Strengthened client relationships through collaboration and delivery of bespoke reports.(6) Conducted multi-dimensional analysis on proprietary behavioral data, contributing to a 100% client renewal rate.

Unibail-Rodamco-Westfield is one of largest commercial real estate companies in the world.Highlights:(1) Built new financial product for 36-person finance team that integrated Excel with TM1 and used OLAP database queries to pull in accurate, up-to-date financial information. Led roll-out and training of new product, resulting in 25% reduction in analyst errors.(2) Invented patented methodology using Python, Pandas, SciKit Learn and various machine learning algorithms to predict resource availability for retail properties (patent #: 10,016,897).(3) Designed and led financial analysis on over $1.8B in approved flagship retail development projects, growing forecasted US portfolio operating income by hundreds of millions by collaborating cross-functionally with various stakeholders.(4) Investigated new business opportunities in residential investment and developed an analytical platform for all new residential models, leading to an estimated $1B in predicted incremental value over 15 years.(5) Facilitated creation and review of annual pre-development budgets for assets under supervision (~2M/year), ensuring that all project deliverables were considered and future capital spend was accurately forecasted.(6) Collaborated with Chief Data Officer to craft a proposal of infrastructure requirements necessary to collect data throughout malls to the Board of Directors.(7) Trained four junior analysts and oversaw two national training initiatives for our 36-person team.(8) Served as main financial point of contact for institutional investors such as JPMorgan Chase and Canadian Pension Plan Investment Board. Improved URW IRR by holding partners accountable for money owed based on the contract language of the partner agreement.(9) Headed up national professional development mentorship program, creating curriculum, reviewing applications, proposing and managing $55k budget. Resulted in increased employee engagement and promotions for over 10% of participants.

(1) Cultivated and nurtured strong relationships with valued shoppers, resulting in increased customer loyalty and repeat business.(2) Generated significant social media buzz and garnered positive press coverage for the mall, enhancing brand visibility and attracting new visitors.

Product Development: Created and implemented a digital progress board for ongoing projects for each week that facilitated transparency across the company.Ownership: Worked cooperatively on a team for the thirty-day national tour for 3 Doors Down: - Negotiated deals with promoters at each venue - Managed sales booth during live shows and prepared financial summaries to client - Calculated and tracked employer sales and expenses on ExcelAnalysis: Performed post-production to finalize a live recording for a client’s media release.

Mentorship: Drafted a lesson plan for all employees that was incorporated into the employee manual.Technical: Assisted audio engineers and lighting technicians with their duties.