Developed an internal tool that automated the workflow for Facebook marketplace escalations, reducing manual data entry time and saving the company an estimated $80,000 in labor costs

Proactively anticipated the lost revenue from potential high-revenue advertisers being wrongly flagged by a deployed ML algorithm and developed an interception tool that left the decision for manual review, increasing advertiser satisfaction rates

Designed and developed an entity framework using PHP and React that models advertiser signals and mocks their performance for debugging

Implemented MLflow and Prometheus to enable telemetry and monitoring of production applications and data pipelines at scale

Deployed a core machine learning framework (MLOps) saving the company from an annual expenditure of over 30,000 dollars

Built a robust CI/CD pipeline, utilized container technology to efficiently handle machine learning workloads and streaming pipelines, and developed developer libraries and APIs to simplify data engineering tasks using Python

Led the engineering team in prototyping game mechanics in Unity using C#, improving performance based on feedback from design and content teams, and integrating game events with Firebase and Google Analytics for predictive modeling

Managed a Hadoop cluster for terabyte-scale data processing and implemented a Spark-Cassandra pipeline for real-time analysis of streaming data

Collaborated with cross-functional teams to deliver impactful data-driven solutions