Trevor Sidewand
Founding Partner at Read Write Own
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolTrevor Sidewand is a founding partner and entrepreneur with 11 years of experience building content, community, and product strategies that drive measurable engagement for organizations across social impact, venture capital, web3, and fintech. Based in Chicago, he leads Read Write Own, which has delivered standout share-of-voice and organic reach metrics for category-defining clients like Filecoin Foundation and Protocol Labs. Technically fluent, Trevor also contributes to open-source ML infrastructure—integrating SparkML into Apache Mahout to bridge modern Spark data structures with Mahout’s distributed runtime. His background in biomedical engineering (BS, 4.0) underscores a rigor for data-driven problem solving and cross-disciplinary thinking. Experimenting with applied AI, he blends hands-on engineering with community-first storytelling to help technical projects find real-world traction.
11 years of coding experience
Bachelor of Science - BS, Biomedical/Medical Engineering, 4.0, Bachelor of Science - BS, Biomedical/Medical Engineering, 4.0 at The University of Akron
Stackoverflow
659reputation
40kreached
23answers
5questions
Github Skills (17)
spark10
machine-learning10
distributed-computing10
scala10
java9
linear-algebra9
javas9
datastructures-algorithms8
data-structures8
data-structure8
algorithms8
algorithm8
google-trends6
big-data6
mahout6
Programming languages (9)
Github contributions (5)
apache/mahout
Jan 2017 - Nov 2022
Mirror of Apache Mahout
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:27 reviews, 278 commits, 175 PRs in 5 years 11 months
Contributions summary:Trevor primarily contributed to the integration of SparkML models and methods within the Apache Mahout framework. Their work included the development of convenience methods to interact with SparkML, specifically focusing on wrapping and integrating LabeledPoint, Vector, and DataFrame objects from SparkML into Mahout's DRM framework. The changes indicate a focus on creating efficient methods for converting various data structures into a format usable by the Mahout system, improving integration and enabling users to leverage SparkML alongside Mahout's existing capabilities.
javamahoutapacheapache-mahout
rawkintrevo/cook-co-property-taxes
Dec 2019 - Jun 2024
Contributions:1 push, 1 branch in 4 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.