-Directed the development and deployment of machine learning models to streamline compliance with regulatory standards, including CCPA and CPRA, while enhancing data discoverability across the enterprise. -Spearheaded the design and implementation of a machine learning model that intelligently selects the optimal Trino cluster for executing queries, significantly improving query performance and resource utilization. -Managed the development of a prototype Retrieval-Augmented Generation (RAG) application that automatically generates comprehensive data dictionaries. -Led evaluations of third-party solutions, spanning data integration, governance, access control, machine learning, synthetic data generation, data acceleration, and cloud cost optimization. -Played a key leadership role in a multi-organization initiative to design and build a platform aimed at democratizing machine learning development across the company, fostering collaboration and accessibility. -Led the development of a telemetry system that identified customers experiencing suboptimal broadband experiences, enabling proactive outreach to enhance customer trust and service reliability. -Cultivated a data science practice by upskilling existing Advanced Engineering staff, transforming them into proficient data scientists and driving the internal adoption of machine learning.

-Led a globally distributed team of 30+ engineers, driving the design, development, deployment, and operation of low-latency data pipelines that processed over 30 billion events daily, including data from Comcast’s X1 platform, RDK software, and Streaming Video platforms.-Onboarded Comcast’s syndication partners (Cox, Shaw, Rogers, and Vidéotron) onto our data platforms, ensuring seamless data stream delivery and providing integration support to their data engineering teams.-Spearheaded the development of a telemetry system that provided 24/7 health monitoring for the Comcast X1 platform, ensuring system reliability and uptime.-Managed the migration of streaming data pipelines from an on-premise architecture utilizing Apache Storm to an AWS-based architecture leveraging Databricks Spark, optimizing scalability, performance, and cost-efficiency.-Developed and implemented data quality monitoring tools, ensuring end-to-end data integrity, completeness, and consistency, with proactive detection of data volume fluctuations.-Provided 24/7 L3 support for data pipelines and related applications, minimizing operational downtime through rapid incident resolution.-Collaborated with Comcast’s data stewardship and legal teams to ensure full compliance with data privacy and protection regulations across all managed data streams.

-Led my team through a major transition, shifting from building developer tools to leading big data initiatives, while seamlessly integrating into a larger organization headquartered in another location.-Developed and implemented solutions to capture usage metrics from X1 applications, measure user engagement, and generate real-time reporting on X1 streaming performance.-Provided weekly insights on application and streaming performance, empowering the X1 product team to make data-driven decisions that enhanced the user experience. -Designed and implemented a prototype big data application to analyze RDK logs from X1 cable boxes, proactively detecting anomalies and increasing system reliability.

-Built and led a high-performing, cross-functional team of software and QA engineers, focusing on delivering robust developer tools to enhance productivity and streamline workflows. -Managed the full lifecycle development of Eclipse-based tools, enabling seamless coding, testing, and deployment of interactive TV (ITV) applications. -As a hands-on developer, contributed significantly to the codebase, including the customization of the interactive TV client to render ITV applications in Eclipse and the creation of plugins that enhanced the development of ITV applications.