1aed7a66d4
The site now has polygot markup and can handle both XHTML5 and HTML5 parsing rules. My staging site will be XHTML but my main site will be HTML5, just in case of parse errors. If other tools (e.g. LightHouse) end up supporting XHTML5, I'll consider switching the content-type to XHTML.
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| date | keywords | title | disableMeta |
|---|---|---|---|
| 2021-01-23T12:21:38-08:00 | intern, python, golang, go, lua, moonscript, shell, bash, zsh, posix, java, haskell, C, influxdb, influxdata, chronograf, grafana, kapacitor, numpy, scipy, pandas, jupyter, docker, podman, buildah, skopeo, kubernetes, openshift, cloud native, physics, jenkins, git, gitlab, github, linux, bsd, red hat, fedora, debian, ubuntu, opensuse, suse | Rohan Kumar | true |
https://seirdy
Detail oriented, committed, self-motivated, open-source enthusiast proficient in Python, Go, Linux/UNIX systems, and cloud-native computing looking for an internship.
Education: Lewis and Clark College
Bachelor of Arts, Major in Math and Computer Science. Fall 2018 - Spring 2023 (expected)
Certifications
CompTIA Security+ (SY0-601), Dec. 2021. Verification available upon request.
Work Experience
June-August 2019: Software Engineering Intern, SAP Ariba, Palo Alto
Developed an anomaly detection and seasonal forecasting tool in Go (Golang) to smooth over one million historical points from InfluxDB, real-time, in an extensively configurable manner. The approach moved processing in-memory to achieve a speedup of several orders of magnitude with a minimal footprint. Use cases included detecting a server's anomalous spikes in resource usage and analyzing trends in environmental data. Used Go, shell, and Grafana.
June-August 2021: Software Engineering Intern, Cisco, Remote
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/
Delivery (Jenkins, GitLab CI, Travis CI), Nginx.
Portfolio
Git repositories mirrored across Sourcehut, GitHub, and GitLab. Selected projects:
Clogstats: sr.ht/~seirdy/clogstats
Gathers IRC channel activity statistics from WeeChat logs and performs time-series analysis and forecasting on them. It can quantify, rank, and chart chatting activity over time and display forecasts. It can also detect anomalous increases in activity. Written in Python with NumPy and Pandas.
MOAC: 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.