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Work. Life. Code. Game. Lather. Rinse. Repeat.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Redis
Data Scientist
June 22, 2026 – Present
rserver
September 14, 2025 – Present
A very basic HTTP server designed to work over the Reticulum Network
View Projectagents-redis-lang-graph-workshop
December 11, 2024 – April 19, 2025
agents-redis-lang-graph-workshop — repository
View Projectmodern-problems-require-modern-solutions
December 10, 2024 – August 14, 2025
modern-problems-require-modern-solutions — repository
View Projectunderstanding-probabilistic-data-structures
December 20, 2019 – October 29, 2025
Repository for my upcoming talk "Understanding Probabilistic Data Structures with 112,092 UFO Sightings".
View Projectdnd-and-graph-databases
December 13, 2019 – Present
Repository for my upcoming talk "Dungeon, Dragons, and Graph Databases".
View Projectintro-to-webassembly
August 6, 2018 – April 15, 2021
Slides, abstract, and code for An Introduction to WebAssembly talk
View Projectdeep-learning-like-a-viking
July 27, 2018 – February 16, 2023
Slides, abstract, and code for Deep Learning Like a Viking talk
View Projectvending-machine-kata
December 28, 2012 – November 23, 2020
vending-machine-kata — repository
View ProjectCultural Fit Analysis
The candidate's projects are diverse in technology (JavaScript, Python, Rust, Java, C++, WebAssembly, Svelte, TypeScript) and topic (probabilistic data structures, WebAssembly, graph databases, deep learning, agents). While this shows breadth, the direct alignment with a dedicated 'Data Scientist' role is moderate. Many projects lean towards general software development or web technologies rather than deep data science applications. The single listed current role as 'Data Scientist' at Redis is a strong positive for cultural fit, but without further details on responsibilities, it's hard to fully assess.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an interest in sharing knowledge (e.g., 'upcoming talk', 'Slides, abstract, and code'). However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.