Avrilia Floratou
Principal Software Engineering Manager at Microsoft
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolAvrilia Floratou is a Principal Software Engineering Manager in San Jose who blends a decade of research-driven expertise with product engineering to lead GenAI and data initiatives at Microsoft Fabric. She builds AI-powered data transformations and intelligent agents that simplify data querying and analysis, translating advanced research into production-ready services. Her background includes progressive research and leadership roles across Microsoft and IBM, grounded in a PhD in Computer Science from the University of Wisconsin–Madison. Avrilia also contributes to real-time distributed systems tooling—implementing resource-aware packing algorithms for Apache Heron—showing a practical knack for optimizing resource utilization in streaming platforms. Known for bridging academic rigor with pragmatic engineering, she frequently moves ideas from lab prototypes to scalable cloud products.
9 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of AthensDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Wisconsin-Madison
Greek, English, French
Github Skills (8)
javas10
resource-management10
java10
streaming9
messaging9
sys8
software-design8
system-design8
Programming languages (2)
Github contributions (5)
apache/incubator-heron
Jul 2016 - Oct 2016
Apache Heron (Incubating) is a realtime, distributed, fault-tolerant stream processing engine from Twitter
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 commits, 9 PRs, 115 comments in 2 months
Contributions summary:Avrilia implemented the FirstFitDecreasing and ResourceCompliantRRPacking algorithms for the Apache Heron stream processing engine, focused on resource allocation and container packing. Their work included designing and implementing these algorithms, contributing to the core functionality of Heron's resource management and topology planning. This involved modifications to key classes within the `heron/packing` directory, demonstrating expertise in optimizing resource utilization within a distributed stream processing context. The contributions reflect a deep understanding of bin-packing heuristics and their application in a real-time data processing engine.
fault-tolerantrealtimedata-streamfaultstream
avflor/mlflow
Apr 2019 - Aug 2020
Open source platform for the machine learning lifecycle
Contributions:135 pushes, 9 branches in 1 year 5 months
pythonlifecyclemlmachine-learningmachine-learning-lifecycle
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