Allen Hosler
Principal Product Manager at Oracle
London, England, United States
Summary
👤
Senior🎓
Top SchoolAllen Hosler is a Principal Product Manager and former machine learning engineer at Oracle Cloud Infrastructure with nine years of experience building serverless AI platforms and operationalizing ML services. A Stanford graduate in CS, EE, and statistics with an MBA from London Business School, he led OCI’s suite of AI operators—forecasting, anomaly detection, PII, and recommendations—and helped build the versatile AI Quick Actions LLM hosting solution. Based in London, he blends hands-on engineering (from junior roles to principal) with product strategy, driving large-scale cloud AI features that prioritize developer ergonomics and operational safety. Notably, he pairs deep technical rigor from Stanford with business training, enabling him to translate research-grade models into production-ready, customer-facing services.
8 years of coding experience
9 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at London Business SchoolBachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Stanford University
Github Skills (49)
oracle-cloud10
interpretation10
machine-learning-models10
evaluation10
user-friendly10
lifecycle10
machine-learning10
user-interface10
forge10
fsspec10
oracle10
speech10
wrapping10
data-acquisition10
ads10
Programming languages (3)
Github contributions (5)
oracle/ocifs
Jan 2022 - Nov 2022
ocifs provides a POSIX-compatible API wrapping Oracle Cloud Infrastructure's (OCI) Object Storage. ocifs is a python library that relies on the fsspec framework.
Contributions:7 releases, 11 reviews, 21 commits in 9 months
pythonstorageocifsspecposix
ahosler/oci-data-science-ai-samples
Nov 2022 - Mar 2025
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
Contributions:6 pushes, 3 branches in 2 years 4 months
pythonsciencedata-sciencemlmachine-learning
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