Tim Sell
Machine Learning Engineer at Block
Melbourne, Victoria, Australia
Summary
🤩
Rockstar🎓
Top SchoolTim Sell is a Melbourne-based Machine Learning Engineer with 17 years of experience building data platforms, production ML systems, and scalable backend services. Currently at Block after a five-year tenure as a Strategic Cloud Engineer at Google, he blends cloud architecture expertise with hands-on feature ingestion and storage work—evidenced by substantive contributions to the popular open-source feature store Feast. His background spans data engineering, analytics platform development and machine learning from roles at Last.fm, Songkick and ThoughtWorks, giving him a rare combination of product-focused data science and production-grade engineering. Tim’s early startup and co-founder experience, plus a stint at the Recurse Center, reflect a continual appetite for learning and experimentation beyond standard corporate roles. He holds an MSc in Advanced Computing Informatics and a BSc (Hons) in Mathematics, grounding his practical skills in strong technical foundations. Notably, his Feast work shows deep familiarity with ingestion pipelines and Redis-backed feature storage—skills that help bridge research models to reliable, low-latency production features.
16 years of coding experience
14 years of employment as a software developer
MSc Advanced Computing Informatics, MSc Advanced Computing Informatics at King's College LondonBSc (Honours) Mathematics, BSc (Honours) Mathematics at La Trobe University
English
Stackoverflow
500reputation
54kreached
7answers
2questions
Github Skills (18)
data-engineering10
java10
javas10
data-science9
redis9
big-data9
mlops8
testing7
hive6
database-design6
couchpotato6
amazon-web-services6
elastic-map-reduce6
ruby6
hbase6
Programming languages (6)
Github contributions (5)
feast-dev/feast
Dec 2018 - May 2019
The Open Source Feature Store for Machine Learning
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 commits, 21 PRs, 3 pushes in 5 months
Contributions summary:Tim primarily contributed to the development of the ingestion module, adding and modifying code related to feature ingestion and storage. Their work included adding functionality for ingesting data, expanding jobs, and prefetching specifications. Code changes demonstrate the user's involvement in testing and implementing features related to Redis storage and handling different data granularities.
pythondata-qualitydata-sciencemlmachine-learning
tims/tims.codes
Sep 2018 - May 2023
Contributions:11 pushes, 7 branches in 4 years 8 months
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