Renaud Dreyer Email & Phone Number
@apple.com
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Who is Renaud Dreyer? Overview
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Renaud Dreyer is listed as AI Architect at Replay.io, a company with 12 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at apple.com and a matched LinkedIn profile for Renaud Dreyer.
Renaud Dreyer previously worked as Founding Software Engineer at Codeflash and Founding Principal Software Engineer at Everyday Agents. Renaud Dreyer holds Double B.Sc., Mathematics And Physics from Carleton University.
Email format at Replay.io
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AeroLeads found 1 current-domain work email signal for Renaud Dreyer. Compare company email patterns before reaching out.
About Renaud Dreyer
I have 20 years of experience in software engineering, in various areas such as high performance computing, distributed systems, machine learning, data science, databases, data platform engineering, developer tools, test automation, virtual memory, file systems, software localization and NLP.
Listed skills include Mathematics, Functional Programming, Os X, Mac Os, and 49 others.
Renaud Dreyer's current company
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Renaud Dreyer work experience
A career timeline built from the work history available for this profile.
Founding Software Engineer
CurrentMaking code provably faster - Gen AI, Performance Optimization, Code Generation, Formal Verification, Symbolic Execution, Static Analysis, Metaprogramming, Functional Programming, Applied Category Theory
Founding Principal Software Engineer
AI/ML Systems, AI Agents, Large Language Models, workflow orchestration, data platform
Founding Principal Software Engineer
Designed and implemented back-end distributed infrastructure for financial flow and account identification computations. Working on High Performance Computing, distributed algorithms and systems, system optimization, scalability, graph computations, computational linear algebra, blockchain, using Spark, Pandas/Numpy, NetworkIt, GraphFrames, AWS.
Staff Data Platform Software Engineer
Staff software engineer and architect for Grammarly's global data platform. Design and implementation of machine learning and analytics Feature Store (including support for low latency feature engineering pipelines). Worked on data platform query DSL and back-end. Used Spark, Scala, Cassandra, Redis, Zeppelin, AWS, Databricks.
Machine Learning Engineer
Machine learning engineer for geolocation intelligence. Created deep learning and classic models for travel, commuting and home identitication with vehicle geolocation data, enriched with demographic data, using TensorFlow, scikit-learn, Python, Vertica, SQL. Also worked on outlier detection, deep learning for time series, and statistical models.
Senior Data Platform Software Engineer
Senior data platform and machine learning software engineer for Apple Software Engineering and the Core Operating System (kernel, Unix) group. Designed and implemented a complete ETL process and data analytics platform for automated build and test results for Core OS and all of Apple Software Engineering, based on Splunk, Kafka and Cassandra. Launched and.
Senior Automation Engineer
Lead engineer and architect for the test automation and tools team, creating the back-end of the Core Operating System (kernel, Unix) automated root (from code change) building, mastering and testing system, which was then adapted by all of Apple Software Engineering. Some of the subsequent features designed and implemented: a new (12 times faster).
Kernel And File System Engineer
White box test code architect and developer for the Virtual Memory (VM) subsystem and File Systems. Designed and implemented a complete general low-level kernel system call unit test framework, with numerous Mach VM unit tests. Ported ztest (user space emulation of the kernel for testing the ZFS file system) from Solaris to Mac OS X. Wrote automated file.
Software Localization Engineer
Mac OS X 10.4 (Tiger) French localization team lead. Set up the first Apple internal continuous localization process. Localization engineering lead for iPhone, iTunes, iPod, Intel CPU, Boot Camp. Started translation automation and similarity engine projects, using LSA and clustering.
Renaud Dreyer education
Double B.Sc., Mathematics And Physics
Education record
Phd (In Progress), Mathematics
Frequently asked questions about Renaud Dreyer
Quick answers generated from the profile data available on this page.
What company does Renaud Dreyer work for?
Renaud Dreyer works for Replay.io.
What is Renaud Dreyer's role at Replay.io?
Renaud Dreyer is listed as AI Architect at Replay.io.
What is Renaud Dreyer's email address?
AeroLeads has found 1 work email signal at @apple.com for Renaud Dreyer at Replay.io.
Where is Renaud Dreyer based?
Renaud Dreyer is based in San Francisco, California, United States while working with Replay.io.
What companies has Renaud Dreyer worked for?
Renaud Dreyer has worked for Replay.Io, Codeflash, Everyday Agents, Heights Labs, and Grammarly.
How can I contact Renaud Dreyer?
You can use AeroLeads to view verified contact signals for Renaud Dreyer at Replay.io, including work email, phone, and LinkedIn data when available.
What schools did Renaud Dreyer attend?
Renaud Dreyer holds Double B.Sc., Mathematics And Physics from Carleton University.
What skills is Renaud Dreyer known for?
Renaud Dreyer is listed with skills including Mathematics, Functional Programming, Os X, Mac Os, Software Design, Freebsd, Subversion, and Data Science.
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