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Philip Seifi

Philip Seifi

Making every M&A deal possible @Colabra ・ Entrepreneur, investor, designer, hacker

seifip
San Francisco, California
Taipei, Taiwan
Joined December 2025
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Summary

Philip Seifi is a serial entrepreneur with a strong focus on product development, design, and technology. He has successfully co-founded and led multiple ventures, including Colabra (scientific R&D platform), Pona (food marketplace, exited 2020), LinguaLift (language learning platform, exited 2018), and Edulift (edtech consultancy). His expertise spans ideation, coding, design, and launching products, as evidenced by his co-founder's remarks and his personal website. seifi+2
With a background in economics and government from Harvard, an MBA from Quantic School of Business and Technology, and multiple Udacity Nanodegrees in Data Science and Deep Learning, Philip possesses a diverse and interdisciplinary skillset. He effectively combines business acumen with technical proficiency, as demonstrated in his work on advanced customer segmentation using Python and his interest in leveraging data for product insights. medium+1
Philip is a proponent of continuous learning and mentorship, actively engaging in the startup ecosystem by mentoring at organizations like UNDP, Thought For Food, and Techstars. He encourages entrepreneurs to look beyond their comfort zones and focuses on fostering trust and shared temperament in co-founder relationships. seifi+2
His intellectual curiosity extends beyond entrepreneurship to various fields, including historical analysis, comparative studies of rural communities, and pedagogical innovation. He has published papers and articles on topics ranging from effective language learning methods to web design and the role of government in startup ecosystems, showcasing his broad range of interests and analytical capabilities. academia+2

Work

Education

Projects

Writing

Starbucks offers: Advanced customer segmentation with Python

May 1, 2020

A detailed article explaining how to use cluster analysis with Principal Component Analysis (PCA) and k-means unsupervised Machine Learning algorithm to segment Starbucks customers for targeted marketing campaigns, based on his Udacity Data Science Nanodegree Capstone project. All code is available on GitHub.

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The Entrepreneurial Lifecycle

An article discussing how governments can foster a vibrant and self-sustaining startup ecosystem.

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Make the most of your PMF surveys with Python

A technical article on closing the feedback loop using various tools like Intercom, Typeform, Airtable, pandas, Plotly, and Segment for product-market fit surveys.

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Optimal matching for marketplaces

An article discussing network-optimized matching for marketplace startups and the role of bias in such systems.

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AC remotes suck; let’s design one that doesn’t

An article exploring how a simple air conditioning remote control can be improved through design methodology.

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Blended learning at scale: Semi-automated study coaching over asynchronous text messaging

A research paper investigating how online learners interact with tutors and exploring methods for delivering personalized human support at scale through asynchronous text messages and computer-assisted technology, drawing from experience with the LinguaLift platform.

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Amīr Kabīr: The Brilliant Chef who Drowned in the Soup of his own Making

A paper providing a historical analysis of Amīr Kabīr, Prime Minister of Iran, examining his role as a political reformer within the existing system.

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Of zombies and fireflies: Comparison of rural communities in Japan and Eastern Europe

A draft paper comparing rural communities in Japan and Eastern Europe, addressing their decline and potential rejuvenation strategies.

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Hobbies

Philip enjoys cooking and shares his culinary creations on an Instagram account dedicated to his kitchen adventures. instagram+1

He is passionate about language learning, having co-founded a language learning platform and contributed to academic discussions on effective language acquisition methods. seifi+1

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