Technologist with Expertise in Product Management, Software Engineering, Data Strategy and Analysis.

• Utilized advanced analytics tools such as SQL, Python, Tableau and DOMO to derive insights from complex datasets, providing clients with actionable strategies to improve affiliate marketing initiatives.

• Developed, standardized, automated, and maintained detailed reports and comprehensive dashboards to track affiliate performance metrics, leading to a 30% YoY increase in overall program efficiency for a portfolio of 60+ online retailers.

Helped build a web analytics platform for Pharma companies. Focused on stakeholder alignment, backlog management, feature prioritization, and ensuring FDA compliance, differentiating the platform roadmap from the MVP for timely delivery.

• Provided technical product expertise and support during sales calls, effectively answering complex questions and contributing to successful deal closures.

• Managed customer onboarding and training, ensuring a smooth transition to the platform and maximizing user adoption and engagement.

• Facilitated data collection from customers to train machine learning models, enhancing the platform's writing recommendations and overall AI accuracy.

• Gathered and analyzed customer feedback to identify pain points and prioritize new platform features, driving continuous product improvement and customer satisfaction.

• Designed and implemented scalable backend services using Python and AWS, enhancing the platform's ability to handle high volumes of user requests efficiently.

• Developed and maintained RESTful APIs to facilitate seamless integration between the writing platform and third-party services, improving overall user experience and platform functionality.

• Engineered data pipelines for data processing and analytics, ensuring accurate and timely insights for improving writing recommendation algorithms.

• Implemented monitoring and logging solutions using AWS CloudWatch and other tools, ensuring high availability and quick issue resolution for production services.

• Conducted code reviews and performance tuning; developed unit and integration tests to ensure code quality and reliability, maintaining a robust and error-free production environment.

• Collaborated with product managers across Inference, Compute and On-Device Training, Model Development, and Deployment services to define a unified vision for Apple’s end-to-end machine learning platform. 

• Stewarded engineering, research, legal, and compliance teams towards alignment on a Machine Learning data platform (MLdp) raodmap addressing data storage, compliance, governance, and performance. Developed a strategy for data governance and compliance.

• Owned and maintained the product backlog. Helped identify and resolve platform scaling issues resulting in a 20% reduction in data processing time and improved data integrity over 12 months. 

• Performed discovery interviews with prospective & existing users to clarify needs and prioritize new features while working with the Engineering Manager to set plan sprints, establish deadlines for milestones, and author Objectives and Key Results (OKRs).

• Developed and led comprehensive training programs and coding sessions for engineers onboarding to the data platform, including creating and reviewing technical documentation.

• Introduced a systematic process for initiative evaluation, overcoming previous challenges in strategic prioritization and decision-making. Introduced OKRs to scaffold strategic planning. 

• Led a diverse, cross-functional team comprised of software engineers, QA testers, UX/UI designers, data analysts, and product marketers, ensuring seamless maintenance of the GNP website, public API, SMS app, and AWS cloud infrastructure. 

• Led efforts to rearchitect the ratings and review platform by developing functional, nonfunctional and user requirements, defining a phased migration approach, documenting all user stories, and proposing a high-level design of the new architecture. 

• Successfully established a business case for staff augmentation that would save the company 10 months of rearchitecture development time. Facilitated partner selection by establishing partner evaluation criteria, defining system onboarding procedures, and meticulously reviewing and scoring candidates.

• Accelerated the delivery of a critical payment system integration by reestablishing the product roadmap and introducing a framework to prevent scope creep and distractions.