I am a data and software engineer with experience building scalable data pipelines, backend services, and production-ready applications. I work primarily with Python, SQL, TypeScript, and cloud-based data infrastructure.
In my current role at Nielsen Media, I architect Python-based ad metadata resolution pipelines and modernize legacy workflows using AWS Athena and distributed computing frameworks. My work has reduced manual review requirements and improved processing throughput across enterprise client accounts.
I have hands-on full-stack development experience integrating Flutter mobile applications with Nest.js and TypeScript microservices. I design REST APIs, work with PostgreSQL and MongoDB databases, and use Docker-based environments for reliable development and deployment.
My background also includes AI and data-focused projects involving web-scraped data validation, database optimization, computer vision, remote photoplethysmography, and autonomous navigation. I enjoy turning complex datasets and engineering problems into practical, measurable solutions.
I am comfortable collaborating with cross-functional teams, maintaining CI/CD workflows, writing technical documentation, and validating systems through automated testing. I am interested in data engineering, backend engineering, AI development, and scalable software systems.
