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Re-order some resume bits
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@ -13,7 +13,7 @@ Education: Lewis and Clark College
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Bachelor of Arts, Major in Math and Computer Science. Fall 2018 - Spring 2023 (expected)
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Certifi­cations {#certifications}
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--------------
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-------------------
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CompTIA Security+ (SY0-601), Dec. 2021. Verification available upon request.
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@ -28,6 +28,17 @@ Developed an anomaly detection and seasonal forecasting tool in Go (Golang) to s
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Worked with a remote team on YAML-based data serialization and validation of data streamed in from Redfish and Selenium test suites to ensure compliance with a schema. Developed Redshift and Selenium tests for Cisco Intersight's APIs and user interface. Used Python.
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Technical Skills
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----------------
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- Cloud-native technologies: Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.
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- Operating systems: Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.
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- Linux: various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE; familiar with components like Systemd, SELinux.
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- Monitoring systems: Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).
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- Programming languages: Proficient in Go, Python, Lua, and shell languages (Bash, Zsh, POSIX sh). Familiar with Java, C, SageMath.
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- Python: Familiar with math and data science libraries such as the SciPy stack, Jupyter notebooks, and Pandas.
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- Other tools: Git, Continuous Integration/<wbr>Delivery (Jenkins, GitLab CI, Travis CI), Nginx.
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Portfolio
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---------
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@ -40,15 +51,3 @@ Gathers IRC channel activity statistics from WeeChat logs and performs time-seri
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### MOAC: [sr.ht<wbr>/~seirdy<wbr>/MOAC](https://sr.ht/~seirdy/MOAC/)
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Analyze password strength given physical limits to computing, and generate secure passwords. Computes theoretical limits to a brute-force attack limited by given physical quantities (mass, energy, power, temperature, etc.) and generates passwords to withstand them. This provides a future-proof understanding of password strength. Extensively tested. Written in Go.
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Technical Skills
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----------------
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- Cloud-native technologies: Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.
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- Operating systems: Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.
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- Linux: various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE; familiar with components like Systemd, SELinux.
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- Monitoring systems: Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).
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- Programming languages: Proficient in Go, Python, Lua, and shell languages (Bash, Zsh, POSIX sh). Familiar with Java, C, SageMath.
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- Python: Familiar with math and data science libraries such as the SciPy stack, Jupyter notebooks, and Pandas.
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- Other tools: Git, Continuous Integration/<wbr>Delivery (Jenkins, GitLab CI, Travis CI), Nginx.
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