seirdy.one/content/resume.md

---
date: "2021-01-23T12:21:38-08:00"
keywords: 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
title: Rohan Kumar
---
<https://seirdy.one/> | <seirdy@seirdy.one>

Detail oriented, committed and self-motivated, open-source enthusiast proficient in technologies related to Python, Go, Linux and 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 2022 (expected)

### Selected Coursework

- Computer Architecture/Assembly Lang
- Programming Language Structures
- Cybersecurity Fundamentals
- Networking Basics (CCNA)

Work Experience
---------------

### June-August 2019: Software Engineering Intern, SAP Ariba, Palo Alto

Developed an anomaly detection and seasonal forecasting tool in Golang using Triple Exponential Smoothing (Holt-Winters) techniques to smooth time series data. It was capable of scaling to over one million historical points from InfluxDB, real-time, in an extensively configurable manner. Use cases include detecting a server's anomalous spikes in resource usage and analyzing trends in environmental data.

Projects
--------

Git repositories on [Sourcehut](https://sr.ht/~seirdy), [GitHub](https://github.com/Seirdy), and [GitLab](https://gitlab.com/Seirdy)

### Clogstats

[sr.ht/~seirdy/clogstats](https://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.

Tools used: Python, NumPy, Pandas.

Technical Skills
----------------

### Cloud-Native Technologies

Familiar with Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.

### Operating Systems

Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.

### Linux

Familiar with various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE.

### Monitoring Systems

Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).

### Programming Languages

Proficient in Go, Python, Lua/MoonScript, and shell languages (Bash, Zsh, POSIX sh).

Familiar with Java, C, SageMath, and Haskell.

### 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.
Add resume 2021-01-28 00:12:24 +00:00			`---`
			`date: "2021-01-23T12:21:38-08:00"`
			`keywords: 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`
			`title: Rohan Kumar`
			`---`
			`<https://seirdy.one/> \| <seirdy@seirdy.one>`

			`Detail oriented, committed and self-motivated, open-source enthusiast proficient in technologies related to Python, Go, Linux and UNIX systems, and cloud-native computing looking for an internship.`

			`Education: Lewis and Clark College`
			`----------------------------------`

Fix detail in resume 2021-01-28 20:10:03 +00:00			`Bachelor of Arts, Major in Math and Computer Science`
Add resume 2021-01-28 00:12:24 +00:00
			`Fall 2018 - Spring 2022 (expected)`

			`### Selected Coursework`

			`- Computer Architecture/Assembly Lang`
			`- Programming Language Structures`
			`- Cybersecurity Fundamentals`
			`- Networking Basics (CCNA)`

			`Work Experience`
			`---------------`

			`### June-August 2019: Software Engineering Intern, SAP Ariba, Palo Alto`

			`Developed an anomaly detection and seasonal forecasting tool in Golang using Triple Exponential Smoothing (Holt-Winters) techniques to smooth time series data. It was capable of scaling to over one million historical points from InfluxDB, real-time, in an extensively configurable manner. Use cases include detecting a server's anomalous spikes in resource usage and analyzing trends in environmental data.`

			`Projects`
			`--------`

			`Git repositories on [Sourcehut](https://sr.ht/~seirdy), [GitHub](https://github.com/Seirdy), and [GitLab](https://gitlab.com/Seirdy)`

			`### Clogstats`

			`[sr.ht/~seirdy/clogstats](https://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.`

			`Tools used: Python, NumPy, Pandas.`

			`Technical Skills`
			`----------------`

			`### Cloud-Native Technologies`

			`Familiar with Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.`

			`### Operating Systems`

			`Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.`

			`### Linux`

			`Familiar with various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE.`

			`### Monitoring Systems`

			`Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).`

			`### Programming Languages`

			`Proficient in Go, Python, Lua/MoonScript, and shell languages (Bash, Zsh, POSIX sh).`

			`Familiar with Java, C, SageMath, and Haskell.`

			`### 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.`