Mark Bittmann is a seasoned data scientist, software engineer, and product leader with 11 years of experience building large-scale AI and data platforms across government and industry. He currently manages Research Data Science at Meta, leading quantitative engineers and data teams to improve AI engineering experience—spanning debugging, training pipelines, automation, monitoring, and observability. Previously he co-founded B23 to industrialize data engineering and applied ML for competitive intelligence, and earlier led technology innovation and large-scale NLP projects that processed hundreds of millions of documents using Hadoop, GPUs, and Spark. Mark combines deep technical chops (MS in Computer Science, background in physics) with policy-savvy quantitative research from work supporting OSTP and other federal agencies, making him adept at translating complex technical needs into operational, secure solutions. He’s equally comfortable shipping production data platforms and driving organizational adoption of automated, governance-aware engineering practices.
11 years of coding experience
8 years of employment as a software developer
Certificate, Science Technology and International Affairs (STIA), Certificate, Science Technology and International Affairs (STIA) at Georgetown University Walsh School of Foreign Service
Bachelor's degree, Physics, Bachelor's degree, Physics at Georgetown University
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