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I have 9 years of industry experience working on production machine learning applications and the data infrastructure platforms that power them. In this time I've acted formally and informally as a tech lead, helping craft technical and procedural visions for my teams that set them up for success on the scale of years. Most recently, I've found inspiration in applying software engineering practices to machine learning workflows, helping teams multiply model performance gains efficiently and without regressions.
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Independent ConsultantSelf EmployedSan Francisco, Ca, Us -
Ml EngineeringRelated Sciences Sep 2023 - Present -
Principal Software EngineerReplica Jan 2023 - Jul 2023Leawood, Ks, Us -
Staff Software EngineerReplica Apr 2021 - Jan 2023Leawood, Ks, Us -
Staff Software EngineerFacet Jun 2020 - Feb 2021San Francisco, Ca, Us -
Staff Engineer, Machine Learning Infrastructure TeamStripe Sep 2018 - Feb 2020South San Francisco, California, UsArchitected and implemented features to improve productivity and security of machine learning model development and deployment.Led migration of all machine learning and ETL Python code to Python 3. -
Balances TeamStripe Aug 2017 - Sep 2018South San Francisco, California, UsResponsible for architecture, project management, and implementation of overhaul of central business system with stakeholders across the company and 4-9 uptime requirement. -
Staff Machine Learning EngineerStripe Jan 2016 - Jul 2017South San Francisco, California, UsResponsible for development, analysis, and operation of machine learning models to predict fraudulent transactions and merchants.Oversaw migration to new model type, development of capabilities to automatically evaluate models and select parameters, and development of additional models for new business problems.Architected and implemented system for distributed computation of features in both training and production. -
Tech Lead, Realtime Data TeamStripe Jan 2015 - Dec 2015South San Francisco, California, UsArchitected, implemented, and operated lambda-architecture system for general-purpose event aggregation, in use in applications from machine learning to customer-facing reporting.Led team of 6 in development of this system and interface with client teams. -
Data EngineerStripe Feb 2014 - Dec 2014South San Francisco, California, UsDesigned and implemented systems for management of data ETL in batch and realtime. -
Senior Data EngineerBitly Sep 2013 - Jan 2014New York, Ny, Us -
Software EngineerBitly Oct 2011 - Aug 2013New York, Ny, Us -
Trendrr Software EngineerWiredset Dec 2010 - Oct 2011New York, Ny, Us -
Software EngineerSpot Influence Nov 2010 - Dec 2010Boulder, Colorado, Us -
Trendrr Software Engineering InternWiredset Aug 2010 - Oct 2010New York, Ny, Us -
Research InternLime Wire, Llc Jun 2009 - Aug 2009New York, Ny, UsPerformed quantitative analysis of network crawls and developed software in Java to detect and block malware. -
Summer ResearcherWright Nuclear Structure Laboratory Jun 2007 - Aug 2007Independently researched and built ionization chamber for gas-filled separator, participated in group experiments. Presented and published work at APS annual conference.
Daniel Frank Skills
Daniel Frank Education Details
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Yale UniversityMathematics -
Saint Ann'S School
Frequently Asked Questions about Daniel Frank
What company does Daniel Frank work for?
Daniel Frank works for Self Employed
What is Daniel Frank's role at the current company?
Daniel Frank's current role is Independent Consultant.
What is Daniel Frank's email address?
Daniel Frank's email address is da****@****ail.com
What is Daniel Frank's direct phone number?
Daniel Frank's direct phone number is +131047*****
What schools did Daniel Frank attend?
Daniel Frank attended Yale University, Saint Ann's School.
What skills is Daniel Frank known for?
Daniel Frank has skills like Java, Python, Hadoop, Algorithms, Software Engineering, Data Science, Git, Mongodb, Javascript, Linux, Django, Machine Learning.
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