mirror of
https://git.sr.ht/~seirdy/seirdy.one
synced 2024-12-24 01:42:10 +00:00
Re-order some resume bits
This commit is contained in:
parent
432fa923af
commit
49c14a8b2a
1 changed files with 12 additions and 13 deletions
|
@ -13,7 +13,7 @@ Education: Lewis and Clark College
|
|||
Bachelor of Arts, Major in Math and Computer Science. Fall 2018 - Spring 2023 (expected)
|
||||
|
||||
Certifi­cations {#certifications}
|
||||
--------------
|
||||
-------------------
|
||||
|
||||
CompTIA Security+ (SY0-601), Dec. 2021. Verification available upon request.
|
||||
|
||||
|
@ -28,6 +28,17 @@ Developed an anomaly detection and seasonal forecasting tool in Go (Golang) to s
|
|||
|
||||
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.
|
||||
|
||||
Technical Skills
|
||||
----------------
|
||||
|
||||
- Cloud-native technologies: Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.
|
||||
- Operating systems: Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.
|
||||
- Linux: various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE; familiar with components like Systemd, SELinux.
|
||||
- Monitoring systems: Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).
|
||||
- Programming languages: Proficient in Go, Python, Lua, and shell languages (Bash, Zsh, POSIX sh). Familiar with Java, C, SageMath.
|
||||
- Python: Familiar with math and data science libraries such as the SciPy stack, Jupyter notebooks, and Pandas.
|
||||
- Other tools: Git, Continuous Integration/<wbr>Delivery (Jenkins, GitLab CI, Travis CI), Nginx.
|
||||
|
||||
Portfolio
|
||||
---------
|
||||
|
||||
|
@ -40,15 +51,3 @@ Gathers IRC channel activity statistics from WeeChat logs and performs time-seri
|
|||
### MOAC: [sr.ht<wbr>/~seirdy<wbr>/MOAC](https://sr.ht/~seirdy/MOAC/)
|
||||
|
||||
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.
|
||||
|
||||
Technical Skills
|
||||
----------------
|
||||
|
||||
- Cloud-native technologies: Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.
|
||||
- Operating systems: Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.
|
||||
- Linux: various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE; familiar with components like Systemd, SELinux.
|
||||
- Monitoring systems: Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).
|
||||
- Programming languages: Proficient in Go, Python, Lua, and shell languages (Bash, Zsh, POSIX sh). Familiar with Java, C, SageMath.
|
||||
- Python: Familiar with math and data science libraries such as the SciPy stack, Jupyter notebooks, and Pandas.
|
||||
- Other tools: Git, Continuous Integration/<wbr>Delivery (Jenkins, GitLab CI, Travis CI), Nginx.
|
||||
|
||||
|
|
Loading…
Reference in a new issue