Jonathan Dehdari
Director Of AI Engineering at Cotiviti
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolJonathan 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
English, Spanish, German, Persian
Github Skills (72)
dataflow10
python10
mxnet10
deep-learning10
mt10
sequence-to-sequence10
clustering10
machine-translation10
ncurses10
nmt10
neural10
music10
console10
cntk10
java10
Programming languages (7)
Github contributions (5)
jonsafari/jonsafari.github.io
Mar 2015 - May 2021
Contributions:448 commits, 416 pushes, 1 branch in 6 years 3 months
jonsafari/nmt-list
Sep 2016 - Jun 2018
A list of Neural MT implementations
Contributions:61 commits, 20 PRs, 67 pushes in 1 year 9 months
pytorchimplementationsdeep-learningmachine-translationnmt
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