Adam Hajari is a Staff Machine Learning Engineer with over a decade of experience building production ML systems that materially reduce fraud and operational risk. At Block he owned the Account Takeover domain, leading cross-functional incident responses and preventing over $20M in annual losses while keeping millions of Cash App users safe and the product experience seamless. He designs ML infrastructure and “force-multiplier” tooling—feature selection, signal generation, and training pipelines—that accelerate time-to-market across teams and drove measurable Snowflake/GCP cost optimizations. With a PhD in Physics and a background in simulation-heavy research, he brings a strong quantitative instinct and systems thinking to ambiguous, high-stakes problems. He also contributes full‑stack Python tooling (authoring work on the spyre web framework), blending hands-on engineering with strategic domain ownership.
11 years of coding experience
16 years of employment as a software developer
PhD, Physics, PhD, Physics at Washington University in St. Louis
Contributions summary:Adam primarily worked on the `spyre` web application framework for python, as shown in the code diffs in `example.py`, `server.py`, `setup.py`, and `model.py` files. The commits added and modified build files, updated the `example.py` file and the `server.py`, which were for a web app framework for python. They included modifications to the `setup.py` file to define package dependencies and included changes to include download functionality.
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