Bill Ulammandakh
Co-Founder & CEO at ProhostAI
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBill Ulammandakh is a founder and machine learning leader with a decade of experience building data-driven products and AI systems, currently scaling ProhostAI—an YC- and Pear-backed startup that automates vacation rental operations. Previously a Staff Data Scientist at Airbnb, he led computer vision and geospatial ML projects that resulted in multiple patents and industry-leading pricing and listing-ranking models. He blends hands-on full-stack development (notably UI and PDF tooling contributions to the popular airbnb/knowledge-repo open-source project) with rigorous causal inference and experimentation from roles at Thumbtack, Etsy, and Wayfair. As General Partner at Staykey Capital he operates a $15M rental portfolio with high occupancy and guest ratings, giving him rare end-to-end product and operator perspective. Trained in economics, neuroscience, and philosophy at Harvard, he pairs quantitative depth with product sensibility to turn complex data into actionable systems. Colleagues describe him as an inventor-practitioner who moves fluid research into scalable, revenue-generating products.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Arts - BA Economics Neuroscience Philosophy, Bachelor of Arts - BA Economics Neuroscience Philosophy at Harvard University
English, French, Chinese, Russian, Mongolian, Slovak
Github Skills (12)
knowledge-management10
knowledge-graph10
python10
user-data9
data-model9
data-set9
html9
css9
markdown-it8
markdown8
data-analysis6
data-science6
Programming languages (3)
Github contributions (5)
airbnb/knowledge-repo
May 2020 - Jan 2021
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 2 reviews, 56 commits in 8 months
Contributions summary:Bill's contributions primarily focused on enhancing the user interface and functionality of the knowledge-sharing platform. This included adding new features like the ability for signed-in users to view tags and integrating a PDF download option. They also made various CSS and HTML bug fixes and style updates, improving the platform's visual appearance and user experience. Further work involved modifying and adding dependencies to support PDF generation.
scientistsnext-generationdata-analysisdatadata-science
bulam/time_series_forecasting_cars
Feb 2017 - Feb 2017
Contributions:6 commits, 5 pushes, 1 branch in 2 days
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