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@affirm.com
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4 phones found area 708, 212, and 972
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Francisco Javier Arceo is listed as Senior Principal Software Engineer @ Red Hat | Open Source AI at Red Hat, based in New York, United States. AeroLeads shows a work email signal at affirm.com, phone signal with area code 708, 212, 972, and a matched LinkedIn profile for Francisco Javier Arceo.
Francisco Javier Arceo previously worked as Senior Principal Software Engineer at Red Hat and Advisor at Friday Harbor. Francisco Javier Arceo holds Master Of Science - Ms, Data Science from Columbia Engineering.
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AeroLeads found 1 current-domain work email signal for Francisco Javier Arceo. Compare company email patterns before reaching out.
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.
Listed skills include Statistical Modeling, Statistics, R, Sas, and 9 others.
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A career timeline built from the work history available for this profile.
Raleigh, Nc, Us
Accelerating 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.
San Francisco, Ca, Us
Maintainer of Feast: the Open Source Feature Store.
San Francisco, California, Us
Machine 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.
San Francisco, California, Us
I 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
San Francisco, California, Us
Tech Lead for data and machine learning
San Francisco, California, Us
I was a founding engineer that built Fast's data and machine learning infrastructure.
New 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
New 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
New 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
Sydney, 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
New 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
Paris, 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
Quick answers generated from the profile data available on this page.
Francisco Javier Arceo works for Red Hat.
Francisco Javier Arceo is listed as Senior Principal Software Engineer @ Red Hat | Open Source AI at Red Hat.
AeroLeads has found 1 work email signal at @affirm.com for Francisco Javier Arceo at Red Hat.
AeroLeads has found 4 phone signal(s) with area code 708, 212, 972 for Francisco Javier Arceo at Red Hat.
Francisco Javier Arceo is based in New York, United States while working with Red Hat.
Francisco Javier Arceo has worked for Red Hat, Friday Harbor, Feast, Affirm, and Fast.
You can use AeroLeads to view verified contact signals for Francisco Javier Arceo at Red Hat, including work email, phone, and LinkedIn data when available.
Francisco Javier Arceo holds Master Of Science - Ms, Data Science from Columbia Engineering.
Francisco Javier Arceo is listed with skills including Statistical Modeling, Statistics, R, Sas, Econometrics, Machine Learning, Python, and Stata.
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