Mehrdad Mokhtari
Applied Software & Materials Engineer
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolMehrdad Mokhtari is an Applied Software & Materials Engineer with 8 years of technical experience and over 3 years focused on NLP, machine learning, and data science, blending deep learning expertise (Keras, TensorFlow, PyTorch, BERT) with production deployment and reproducible ML lifecycles. He has driven cross-disciplinary projects at Simon Fraser University and The Berlinguette Group, translating business needs into validated models and visual insights for both technical and non-technical stakeholders. His background in computational chemistry and chemical engineering gives him a strong foundation in quantitative modeling and scientific software, enabling rigorous experimentation and feature engineering. Comfortable across the stack from data aggregation and visualization to model serving, he is particularly adept at making word-embedding and NLP research practically useful in applied settings.
8 years of coding experience
3 years of employment as a software developer
Master of Science, Computational Chemistry, Master of Science, Computational Chemistry at Simon Fraser UniversityBachelor of Science, Chemical Engineering, Bachelor of Science, Chemical Engineering at Sharif University of Technology
Github Skills (3)
data-repository7
simulation6
computational-chemistry5
Programming languages (2)
Github contributions (5)
Mehrdad93/Trajectory-path-prediction
Oct 2019 - Aug 2020
Predicting trajectory paths of novel compounds employing RNN-based models (computational chemistry simulation-based problem)
Contributions:49 commits, 2 PRs, 47 pushes in 10 months
computational-chemistrysimulation
Mehrdad93/Sentiment-classification-NB-XLNet
Dec 2020 - Dec 2020
Contributions:109 commits in 2 days
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