Staff Product Manager for SDK Mobile Ads team that supports publisher supply-side platform (SSP) monetization by displaying in-app digital ads.Coordinate SDK feature launches with XFN and GTM teams for new ad products. Was able to grow adoption of Liftoff SDK 7.4.x to greater than 40% amongst our supply-side customers which accounts for over 80% of net revenue.Lead strategic initiatives to optimize ad performance and drive revenue growth for Liftoff Mobile.Stay up-to-date with iOS & Android OS launches, mediation partner requirements, and mobile app store policies to ensure compliance and SDK functionality.

Principal Product Manager for Data.AI (formerly App Annie), a start-up that became the industry leader for mobile app market data and analytics. (acquired by Sensor Tower)Responsible for Paid Keyword Search & App Store Optimization which helps publishers improve discovery and ranking of their mobile app in the Google Play Store and Apple App Store ecosystems.Co-lead for the ideation of a new mobile application initiative powered by AI. Defined product market opportunity to expand TAM and understand product market fit. Authored Product Requirement Documents describing What the problem was, Why we were building it, and Who the product was built for. Collaborated with AI Engineering to define feature specifications and user experience with LLM GPT4, XLM-RoBERTa-base

Staff Product Manager Lead for Revenue ML Foundations responsible for ads personalization using AI to match advertisers with targetted users and measured signal attribution on Twitter surfaces including home timeline and conversations. Twitter Ads Revenue totaled $5.1B in 2021 during my team's tenure.In addition to the recommendation system algorithm, my team was responsible for ad quality ranking, marketplace RTB, and CTR optimization using Machine Learning and knowledge graph embeddings.- Personalization- Recommendations- Ranking- Pacing- CTR Optimization- User Embeddings- Social Knowledge Graph- Quality RelevanceProduct highlights:** Contributed to Dynamic Product Ads (DPA) launch which improved cost-per-acquisition (CPA) by 25% using a carousel of targeted ads.** Launched ad campaign re-architecture in support of line item pacing which made up 15% of advertiser revenue equating to $750M annually.** Defined ad targeting privacy requirements for ML ad prediction services around restricted data use (age, geo fencing) and Apple Store Kit SKAdNetwork with guidance from Legal and Trust & Safety (T&S) teams.** Authored 3-year vision strategy document for ML Foundation migrating Twitter ad services and model training to GCP cloud platform.#LoveWhereYouWorked

Machine Learning Product Manager for Enterprise Cloud Workday software focused on Financial products. Work closely with company leadership and cross-functional stakeholders to create product roadmap, perform competitive market analysis, and participate with Sales engagements to provide product guidance and value proposition.Define use-cases for Machine Learning requirements with Financial Accounts Payable Supplier Invoice and Payroll Expense opportunities.Collaborate with Privacy Security, Data Management, and Legal teams to design processes around data privacy requirements per GDPR and CCPA. Well versed with data analytics in creating dashboards (Solas, Zeppelin, Tableau) that utilize HIVE/Hadoop tools to define metrics which help make data driven decisions and clarify A/B test results.Product highlights:** Launched anomaly detection products for Time Tracking and Payroll that process over 1.4M monthly transactions and serve about 700k MAU.** Grew user adoption to 40% in 24-months for Workday mobile product that uses OCR machine learning (Scikit-Learn deep learning) applied to photo-to-text use cases in the form of receipt and invoice expenses. Released on both Android and IOS. ** Lead PM consultant for NLP lexicon used for Workday Chatbot prototype "How many PTO days do I have remaining?"

ML anomaly detection for Time Tracking and Payroll Workforce Management module.

Expenses and Accounts Payable ML OCR

Founded online e-commerce business specializing in Korean beauty products. Business responsibilities included website design flow (Shopify), logo creation (Canva), market fit analysis, pricing, social media, inventory management, order fulfillment, and logistics. Business was sold in 2018.

M.S. Engineering & Management at MIT with focus on Technology Strategy and Machine Learning.Thesis research: Big Data Health Platforms -- Biometric data aggregation and their potential impact to centralize Digital Health-Data (https://dspace.mit.edu/handle/1721.1/106235)Projects I worked on during my studies:** 15.371J -- Part of team that researched and created go-to-market strategy for break thru osteoarthritis therapeutic. Helped identify additional funding sources while exploring outside applications for those interested in such a technology. (Global osteoarthritis market estimated at $5.5B in 2015)** ESD.754 -- Applied data mining and machine learning techniques to identify correlative properties for smartphone owners. Created machine learning models with Naive Bayes and Deep Learning Neural Networks for analysis using Python matplotlib, numpy, pandas, XLMiner, and Tableau.** 6.S978 -- Start-up venture where we provided geolocation and time management tools in form of smartphone application to hospice home health aid industry. Created business plan and prototyped using REST and MySQL architecture.

Experienced Manager in technology consulting specializing in business systems integration for ERP/CRM enterprise projects. Managed project teams of up to 10 direct reports to define business process requirements for system developers while working to identify gaps. Product highlights:** Programmed in C++ as a Software Developer creating an embedded email solution that contacts winning bidders en masse for the largest online auction retailer.** Developed logistic product that streamlined customer inventory process to scale across 30 US locations using FedEx web services integration and API solutions.** Worked 2 years in Singapore as Integrations Lead where I managed a development team of 8x to define APIs for financial accounting ERP system that connected with over 50 APAC region suppliers.