Senior Software Engineer at The Walt Disney Company
New Jersey, United States
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Summary
👤
Senior
🎓
Top School
Frank Kovacs is a Senior Software Engineer and data evangelist with 9 years of experience turning large-scale data into measurable business value across media and retail. He has architected solutions that generated between $1M and $67M annually and led hands-on builds of enterprise data platforms ingesting hundreds of millions of records. Frank blends deep statistical training from Carnegie Mellon with practical ML and MLOps skills—recently focusing on LLMs (RAG, MCP, attention mechanisms), fine-tuning, and cloud-native deployments in AWS and Azure. He’s comfortable shipping production-grade PySpark pipelines, containerized GitOps workflows, and MCP servers/clients, and he regularly contributes to open-source projects such as stdlib-js. Based in New Jersey, he pairs product-minded engineering with a knack for making data genuinely useful to end users and has presented MCP architectures and demos to developer audiences.
9 years of coding experience
5 years of employment as a software developer
Master's Degree Statistical Practice, Master's Degree Statistical Practice at Carnegie Mellon University
High School, High School at Seton Hall Preparatory School
✨ The fundamental numerical library for JavaScript and TypeScript. ✨
Role in this project:
Backend Developer
Contributions:7 commits, 5 PRs, 48 comments in 2 months
Contributions summary:Frank primarily focused on fixing linting errors within the codebase. They made changes to the `anova1` function and associated test files, as well as files for pretty printing and mean tables. They also updated the `index.js` file related to the standard library.
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