Atul Naik

I’m a Software Engineer with 5+ years of experience designing scalable systems, optimizing costs, and leading integrations across music, video, and ad-tech. I focus on cross-functional collaboration to deliver high-performance solutions aligned with business and technical goals, from reliable deployments to end-to-end data and partner workflows.

Most recently as a Founding Engineer, I built an AI scheduling engine that automates meeting coordination and improved operational efficiency for HR and recruitment teams using context-aware scheduling. Previously at Gracenote (Nielsen) as a Senior Software Engineer, I led initiatives that increased system throughput by 30% and reduced AWS costs by 30%, migrated legacy workflows to Apache Airflow, refactored data pipelines to eliminate redundancy, and improved content matching accuracy—reducing false groupings by 10× and cutting processing time from over 7 days to under 1 day.

Earlier at MEDIA.NET as a Web Application Developer 2, I created Python data pipelines, a centralized Python API gateway that reduced external requests by 30%, and REST APIs (Golang, Node.js, PHP) to monitor critical tasks—improving traffic quality by 2 points and increasing daily profit by 10% through better ad account performance.