Ali Dabouei
Chief Technology Officer at Neptune Technologies Inc.
Vienna, Virginia, United States
Summary
👤
Senior🎓
Top SchoolAli Dabouei is a CTO and ML scientist with nine years of experience building production-ready AI and deep learning systems across industry and academia. He leads AI strategy and engineering at Neptune Technologies while advising eni on GenAI healthcare applications, blending research rigor from a Carnegie Mellon postdoc with product-focused delivery. His background spans neural activity modeling, predictive financial modeling, and continual learning in adversarial settings from an internship at Microsoft, reflecting a rare mix of domain breadth and technical depth. Ali’s work emphasizes scalable models that solve real-world problems and transition smoothly from prototype to deployed service. Trained in electrical and bio-electrical engineering at Sharif University with doctoral research at West Virginia University, he pairs a strong quantitative foundation with hands-on ML engineering. Colleagues describe him as someone who bridges cutting-edge research and pragmatic implementation, often surfacing novel model applications that address measurable business outcomes.
9 years of coding experience
8 years of employment as a software developer
West Virginia UniversityMaster's degree Electrical/ Bio-electrical Engineering, Master's degree Electrical/ Bio-electrical Engineering at Sharif University of Technology
Github Skills (30)
pytorch10
deep-learning10
jekyll10
data-augmentation10
adversarial-attacks9
jekyll-theme9
github-pages9
binance9
smooth9
spatial9
api8
unsupervised-learning8
automated-trading8
cryptocurrency8
tensorflow7
Programming languages (3)
Github contributions (5)
alldbi/alldbi.github.io
Sep 2021 - Jun 2025
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:101 pushes in 3 years 9 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
alldbi/Factorized-Spatial-Embeddings
May 2018 - Feb 2019
Tensorflow implementation of Unsupervised learning of object landmarks by factorized spatial embeddings
Contributions:36 commits, 27 pushes in 9 months
tensorflowunsupervised-learningunsupervisedfactorizedspatial
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.