---
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.