Jake Brukhman
Founder CEO at CoinFund
Miami, Florida, United States
Summary
👤
Senior🎓
Top SchoolJake Brukhman is a seasoned technology founder and investor blending rigorous mathematics with hands-on software leadership to build and fund blockchain ecosystems. As founder and CEO of CoinFund since 2015, he leads investments in blockchain technology and cryptoassets, drawing on a deep background in quantitative research and distributed systems. His career spans roles at Amazon, Highbridge Capital, and Kohera, where he designed scalable trading platforms and product-led engineering, underscoring a rare mix of finance and software craft. An active technologist and researcher, he has contributed to open-source projects like a Naive Bayesian classifier in Go, reflecting his instinct for practical, testable systems. His academic path spans Mathematics at Rutgers and NYU Courant, with advanced study at UCL, highlighting a strong foundation in theory paired with real-world applications. Based in Miami, he continues to explore decentralization, digital crowdfunding, and cryptoassets while guiding teams to responsibly scale impact.
16 years of coding experience
6 years of employment as a software developer
Mathematics, Mathematics at NYU, Courant Institute of Mathematical SciencesBachelor's degree, Mathematics, Computer Science, Bachelor's degree, Mathematics, Computer Science at Rutgers, The State University of New Jersey-New BrunswickMathematics, Mathematics at University College London, U. of London
Russian
Stackoverflow
15,117reputation
3.3mreached
15answers
87questions
Github Skills (22)
algorithm10
algorithms10
probabilistic-programming10
datastructure10
data-modeling10
datastructures10
data-structure10
probabilistic-reasoning10
go10
statistical-modeling10
probabilistic-models10
data-structures10
statistical-modelling10
unit-testing9
serialization9
Programming languages (10)
Github contributions (5)
jbrukh/bayesian
Nov 2011 - Mar 2020
Naive Bayesian Classification for Golang.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:60 commits, 16 PRs, 14 pushes in 8 years 5 months
Contributions summary:Jake primarily developed the core logic for a Naive Bayesian classifier in Go. Their work involved defining the classifier structure, implementing methods for learning from data, scoring documents, and calculating probabilities. Key changes include adding serialization capabilities, modifying the scoring mechanism, and adding checks and tests, demonstrating the implementation and testing of a probabilistic classification algorithm.
golangmachine-learningnaivebayesianclassification
jbrukh/sentiment
Nov 2011 - Dec 2011
Contributions:37 commits in 21 days
nlpclassifiersentimentsentiment-analysistwitter
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