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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
llamactl
July 16, 2025 – Present
Unified management and routing for llama.cpp, MLX and vLLM models with web dashboard.
View Projectk9s-web
April 26, 2024 – Present
K9s Web provides a convenient way to manage Kubernetes clusters over the web.
View ProjectCUDANet
February 7, 2024 – Present
Convolutional Neural Network inference library running on CUDA
View Projectneural-nets
May 30, 2021 – May 30, 2021
Small neural network library written in C from scratch
View Projectcertbot-websupport-dns-hook
June 26, 2019 – September 17, 2019
Certbot manual hooks for websupport dns
View Projectmnist-pattern-recognition
November 29, 2017 – December 6, 2017
mnist-pattern-recognition — repository
View Projecthugo-theme-nix
September 30, 2016 – August 25, 2025
Nix is a simple, minimal theme for Hugo
View ProjectCultural Fit Analysis
The candidate primarily showcases personal projects, indicating a self-driven and curious individual. However, the project diversity leans heavily towards low-level systems, web development, and infrastructure, with only a few directly aligning with a 'Data Scientist' role. The lack of team-based projects or contributions to larger open-source initiatives makes it difficult to assess collaboration and broader cultural fit. The target role 'Data Scientist' is only partially supported by the project portfolio, suggesting a potential mismatch or a need for further validation of data science specific skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.