Jonathan Brown
Director Of Engineering at Wallaroo.AI
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJonathan Brown is a Director of Engineering based in San Jose with 12 years of experience designing and scaling real-time distributed systems and MLOps platforms across cloud, on‑prem, and edge environments. He combines hands-on backend and DevOps expertise—demonstrated by contributions to the Wallaroo distributed stream processing project—with a track record of delivering low-latency, high-throughput inference across heterogeneous hardware. As an engineering manager-turned-director he excels at growing high-performing teams, translating product goals into executable roadmaps, and streamlining release and observability pipelines. Known for performance tuning from kernel to cloud and for pragmatic automation (CI, Docker, monitoring), he balances customer needs with robust platform reliability. Outside of work he pursues continuous learning through Brazilian jiu-jitsu and crafting Tokyo-style Neapolitan pizzas, reflecting a blend of discipline and creativity.
12 years of coding experience
11 years of employment as a software developer
Flatiron School Web Development FellowshipThe City College of New York
English, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
docker10
pony10
dockers10
cicd10
strings9
text-manipulation9
phoenix-framework8
regex6
Programming languages (9)
Github contributions (5)
WallarooLabs/wally
Jul 2016 - Nov 2020
Distributed Stream Processing
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:12 releases, 3 reviews, 521 commits in 4 years 4 months
Contributions summary:Jonathan primarily contributed to back-end development by refactoring and optimizing code related to the word-count and message processing logic in the distributed stream processing system. They addressed performance issues by replacing regex with string splits in word-count and made updates to the TCP transport timeout in the Phoenix framework. The user also demonstrated DevOps skills by adding monitoring tools and implementing CI integration with Drone commands for testing, building, and pushing Docker containers. These additions suggest a focus on improving the system's stability, performance, and operational aspects.
stream-processingstreaming-datadata-streamdata-processingstreams
JONBRWN/ponyc
Oct 2017 - Apr 2022
:horse: Pony is an open-source, actor-model, capabilities-secure, high performance programming language
Contributions:6 pushes, 7 branches in 4 years 6 months
securehorseponycompilerperformance
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