Summary
Mark Fajet is a senior software engineer with 10 years of experience building scalable web applications and production ML systems at Amazon, Meta, and now Coinbase. He blends full-stack engineering (React, Flask, Node.js) with strong data and ML expertise (Python, TensorFlow, scikit-learn) to deliver performance, observability, and privacy-safe modeling pipelines. His work includes shipping internal recommender and monitoring systems at AWS, and pioneering anonymized-and-aggregated (A&A) error metrics and feature-selection guardrails at Meta that measurably improved model adoption and reduced error. Comfortable across languages from Java and C to functional tools like F# and Haskell, he also accelerates teams by improving test coverage, mentoring new hires, and optimizing tooling for up to 94% performance gains. Based in Miami, he pairs an MS in Computer Science with hands-on experience in both research-style model tuning and production engineering.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Florida International University
English, Spanish