Jonathan Dehdari is a Director of AI Engineering with 11 years of hands-on experience building and deploying ML and deep learning solutions across finance, healthcare, and enterprise SaaS. He has driven multi-million and even tens-of-millions-per-year savings by leading production AI use cases—ranging from first- and third-party fraud detection to large-scale GenAI applications like summarization, PII masking, and TTS—at firms including Fidelity and Cotiviti. Equally comfortable in research and production, he brought NLP and fast clustering innovations from DFKI and a PhD background into practical products, and has led global teams delivering ML-as-a-service platforms. Jonathan balances technical depth (Transformers, LSTM, XGBoost/LightGBM, TensorFlow/Keras, SQL) with product and governance experience, having reviewed 250+ AI projects for responsible deployment. Known for listening to customers and mentoring large annotation and engineering teams, he combines pragmatic engineering with academic rigor to tackle high-impact, hard-problem domains like financial crime and time-series medical coding.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at The Ohio State University
Contributions:466 commits, 1 PR, 251 pushes in 5 years 3 months
clusteringpython
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Jonathan Dehdari - Director Of AI Engineering at Cotiviti