Francisco Javier Arceo Email and Phone Number
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I am a full-stack software engineer (including machine learning engineer and data engineer) and engineering manager.I’ve written software in Python, Go, Lua, and JavaScript using frameworks like Django, Flask, Tornado, FastAPI, React, and React Native. I’ve built web applications using distributed cloud computing software like Kubernetes on AWS and GCP, as well as using Platforms as a Service; I’ve built large scale machine learning, data, and Generative AI software applications; and I’ve also built and launched an iOS mobile application to the App Store. In general, I write software and manage teams that write software for data, machine learning, finance, and the web.While my expertise lies in data, machine learning, finance, and software infrastructure, I enjoy operating across the stack. I am a very technical and hands on manager and I take joy in building highly impactful teams.
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Senior Principal Software EngineerRed Hat Apr 2024 - PresentRaleigh, Nc, UsAccelerating Enterprise-grade Open Source AI infrastructure at Red Hat.I lead the architecture, implementation, and provide the technical vision for our distributed training (e.g., training LLMs), data science pipelines, and feature store teams at Red Hat by leveraging the best of open source AI and Kubernetes.
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AdvisorFriday Harbor Jul 2024 - PresentAdvising Friday Harbor on all things AI. -
Open Source MaintainerFeast Jul 2022 - PresentSan Francisco, Ca, UsMaintainer of Feast: the Open Source Feature Store. -
Engineering ManagerAffirm Apr 2022 - Apr 2024San Francisco, California, UsMachine Learning + Data + Experimentation Infrastructure.Managed a team of 9 software engineers building online, batch, and streaming machine learning, data, and experimentation infrastructure to serve millions of customers.My team and I built and maintained the online machine learning infrastructure powering the Affirm Card and Affirm's underwriting. -
Engineering ManagerFast Mar 2022 - Apr 2022San Francisco, California, UsI built data engineering and machine learning infrastructure and then managed a team of 6 engineers covering a mix of online and offline services including but not limited to:- Data Engineering- Data Infrastructure- Event Infrastructure- Experimentation Infrastructure- Machine Learning Infrastructure- Risk Engineering- Enterprise Pixel Tracking Infrastructure -
Technical Lead Manager - Staff Software EngineerFast Oct 2021 - Mar 2022San Francisco, California, Us
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Tech Lead - Staff Software EngineerFast May 2021 - Oct 2021San Francisco, California, UsTech Lead for data and machine learning
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Senior Software EngineerFast Mar 2021 - May 2021San Francisco, California, UsI was a founding engineer that built Fast's data and machine learning infrastructure.
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Executive Director, Data ScienceUnderstood.Org Jul 2019 - Mar 2021New York, New York, Us- Built data engineering pipelines- Built recommendation models- Built custom data products / visualization- Built custom event tracking to track every digital touchpoint- Built Looker dashboards to measure A/B testing across different product experiments -
FounderUnidos 2019 - 2021New York, New York, Us- Built Personal Financial Management web and iOS application for underserved community- Built multi-lingual real-time custom dashboard summarizing a user’s personal finances- Built auth service with Two Factor Authentication, session-level monitoring, and 256-bit SSL encryption- Built CICD pipeline using Django, PostGreSQL, Docker, Heroku, GitHub Actions, and PyTest- Built multi-lingual Content Management System (Wagtail) hosted on a Content Delivery Network (CDN)- Built microservices with OpenAPI and ReDoc using Django Rest Framework -
AssociateGoldman Sachs 2017 - 2019New York, New York, Us- Credit/Fraud Strategy and Underwriting for Goldman Sachs' consumer bank- Core underwriting platform, data engineering, and credit/fraud risk data scientist- Wrote software to scale quantitative underwriting- Led underwriting platform/risk engineering team- Data Steward and governance- Vendor integration and negotiation- Developed and trained junior analysts and remote teams- Data Engineering Product Manager -
Associate Director - Data Science And InnovationCommonwealth Bank 2016 - 2017Sydney, Nsw, Au- Led data and analytical strategy to launch South Africa’s first Digital Bank (TymeBank)- Drove bank-wide analytical initiatives under the Chief Analytics Officer- Used machine learning to automate commercial underwriting of up to $250,000 in SME loans- Wrote software to extract and process data and use distributed computing for algorithmic underwriting -
Senior Associate - Data Science And InnovationCommonwealth Bank 2014 - 2016Sydney, Nsw, Au
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Data Scientist - Senior AnalystAig 2014 - 2014New York, Ny, Us- Optimized claims operations through machine learning- Estimated impact of legal firms across commercial portfolio- Used Natural Language Processing to predict claim severity- Developed junior analysts through mentorship and training sessions -
Data Scientist - Analyst IiAig 2012 - 2014New York, Ny, Us
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Analytic ConsultantIpsos 2012 - 2012Paris, Fr- Built models to estimate return on investment for different marketing strategies- Optimized client marketing investments using constrained optimization- Developed and trained junior analysts and different teams
Francisco Javier Arceo Skills
Francisco Javier Arceo Education Details
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Columbia EngineeringData Science -
Clemson UniversityEconomics And Statistics
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Illinois State UniversityEconomics
Frequently Asked Questions about Francisco Javier Arceo
What company does Francisco Javier Arceo work for?
Francisco Javier Arceo works for Red Hat
What is Francisco Javier Arceo's role at the current company?
Francisco Javier Arceo's current role is Senior Principal Software Engineer @ Red Hat | Open Source AI.
What is Francisco Javier Arceo's email address?
Francisco Javier Arceo's email address is ar****@****ail.com
What is Francisco Javier Arceo's direct phone number?
Francisco Javier Arceo's direct phone number is +170893*****
What schools did Francisco Javier Arceo attend?
Francisco Javier Arceo attended Columbia Engineering, Clemson University, Illinois State University.
What are some of Francisco Javier Arceo's interests?
Francisco Javier Arceo has interest in Poverty Alleviation, Education.
What skills is Francisco Javier Arceo known for?
Francisco Javier Arceo has skills like Statistical Modeling, Statistics, R, Sas, Econometrics, Machine Learning, Python, Stata, Sql, Deep Learning, Python, Leadership.
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