Develop, maintain, and thoroughly test high-demand, low-latency production services serving ranking models for inference using Flask, FastAPI, Java Spring, RedisImplemented a framework to productionalize search ranking models for A/B testing, enabling significant revenue wins.Build and maintain data pipelines (Airflow) to run data aggregation jobs (PySpark/EMR) enabling model training and inferenceOwn high-level architectural decisions, designing solutions for recommendation systems in response to company objectives

Defined department priorities and objectives for the data engineering team while managing resource allocation across projectsArchitected data warehouses using dimensional modeling techniquesDeveloped ETL jobs in AirFlow using Pandas and PySpark to prepare and aggregate analytics dataCreated customized data measurement and reporting plans for clients in the education, pharmaceutical, and insurance sectorsDevise department testing, review, quality assurance, and documentation standards and strategiesCoordinate with account management team to generate company-wide and client buy-in to solutions proposals

Designed system enhancements for the California State Automated Welfare System (CalSAWS) an application used by over 50,000 social workers to administer public services for 15M CaliforniansCoordinated across build, test, design, and business process teams to transform client requests into detailed product designs with mockups and cost estimates

Managed a team of six developers in an agile environment, acting as liaison between client project managers and business stakeholdersIdentified, defined, and implemented architectural requirements to deliver a full-stack web application built with React and AWS Lambda ahead of schedule