Mohammad Sabik Irbaz
Data Scientist
Summary
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SeniorMohammad Irbaz is a PhD candidate and Graduate Research Assistant at George Mason University specializing in Medical NLP and large language model applications under Dr. Kevin Lybarger. With eight years of experience across industry and research, he has led ML teams at Omdena, Pioneer Alpha, and Leadbook, taking NLP and CV projects from ideation to GCP deployment and production pipelines. His work bridges applied data science—like unsupervised job-title clustering and lead-generation scraping—with academic research in Text Style Transfer, Clinical ML, and data-centric AI, evidenced by five peer-reviewed publications. He also teaches data science, mentors student projects, and has a track record of building practical systems such as multilingual chatbots, low-resource OCR for Bangla, and organizational recommender systems. Comfortable switching between research rigor and product delivery, he often focuses on automating scalable data pipelines that make unstructured information actionable. Based in Virginia, he combines deep technical skills with a demonstrated ability to translate complex NLP research into deployable solutions.
8 years of coding experience
Github Skills (12)
parsing8
validation7
json-schema6
python6
stem5
fasttext4
pydantic3
neural-network2
huggingface-transformers2
hyperparameter-tuning2
transformers1
fastai1
Programming languages (4)
Github contributions (5)
msi1427/Competitive-programming
Jul 2018 - Jun 2020
Contributions:119 commits, 115 pushes, 1 branch in 1 year 11 months
msi1427/msiai
Mar 2021 - Jan 2022
Contributions:10 commits, 37 pushes, 1 branch in 10 months
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