Zander
Summary
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RockstarZander Matheson is a Staff Product Manager and founder with 11 years of experience building data-first products and streaming systems, currently focused on making real-time data more manageable at Confluent. He founded Bytewax and contributes as a full-stack developer to its Python stream-processing project, including Redpanda integration and ML-driven anomaly detection for live data. His background spans data science roles at GitHub and Heroku, plus early engineering and analytics work that taught him to turn large ETL pipelines and telemetry into actionable product insights. Trained in civil engineering and business (UBC, HEC Paris, exchange at UT Austin), he blends quantitative rigor with product strategy and a knack for practical, production-ready tooling. Off-hours he’s an outdoors addict, a detail that often informs his pragmatic, systems-oriented approach to complex problems.
11 years of coding experience
Github Skills (12)
kafka10
stream-processing10
python10
data-engineering10
data-science9
dataflow9
dataflow-programming9
jupyter-notebook8
machine-learning8
pandas7
websocket7
rust4
Programming languages (8)
Github contributions (5)
bytewax/bytewax
Feb 2022 - Jan 2023
Python Stream Processing
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:1 release, 51 reviews, 86 commits in 11 months
Contributions summary:Zander contributed to the development of a Redpanda streaming events notebook, incorporating Bytewax for dataflow processing and anomaly detection using machine learning techniques. They modified the input and output mechanisms and refactored the code to align with Bytewax 0.8. The user also worked on a websocket example for real-time data streaming and implemented filtering based on a certain criteria.
stream-processingdeltapythonstreaming-datadata-science
machine-learning-apps/MLDevOps
Feb 2020 - Feb 2020
ML DevOps using GitHub Actions and Azure Machine Learning
Contributions:58 commits, 33 PRs, 88 pushes in 3 days
devopscmlmachine-learningazure-machine-learningmlops
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