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Software Engineer (Rust), focus on high quality and correctness, safety critical development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
neuer-error
January 5, 2026 – Present
Ergonimic error handling for applications and libraries with better practices
View Projectserde-brief
September 15, 2024 – Present
A brief, self-descriptive, serde-compatible binary format.
View Projectsample-config
November 5, 2022 – January 7, 2023
Generation of sample configs with documentation comments.
View Projectbonsaimq
May 26, 2022 – April 6, 2025
Message/job queue based on bonsaidb, similar to sqlxmq.
View Projectwebcam-mouse
April 3, 2022 – April 22, 2022
Small dumb demo to track movement in the webcam. The rightmost pixel that has movement could be the mouse position.
View Projectrust-es-optimizer
December 7, 2018 – June 25, 2022
General Evolution-Strategy-Optimizer implementation according to https://arxiv.org/abs/1703.03864 in Rust.
View ProjectRust-Evo-LSTM
June 29, 2018 – June 29, 2018
LSTM / Neural network structure to be used in my GeneralEvolutionFramework to create evolutionary LSTMs.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on Rust, indicating a strong preference and expertise in this specific language. While this demonstrates depth, the lack of diversity in technologies and project types (all personal, no team or professional experience indicated) might suggest a narrow scope of collaboration experience or adaptability to different tech stacks. The target role is 'Backend Engineer', which Rust can certainly fulfill, but the absence of other common backend technologies (e.g., Python, Java, Node.js, SQL/NoSQL databases, cloud platforms) could be a limiting factor for teams with diverse tech requirements. The candidate's experience level is 0, which contradicts the depth of their personal projects, suggesting a potential misclassification or lack of formal professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.