mirror of
https://git.sr.ht/~seirdy/seirdy.one
synced 2024-11-10 00:12:09 +00:00
79 lines
2.8 KiB
Markdown
79 lines
2.8 KiB
Markdown
---
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date: "2021-01-23T12:21:38-08:00"
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keywords: intern, python, golang, go, lua, moonscript, shell, bash, zsh, posix, java,
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haskell, C, influxdb, influxdata, chronograf, grafana, kapacitor, numpy, scipy,
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pandas, jupyter, docker, podman, buildah, skopeo, kubernetes, openshift, cloud
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native, physics, jenkins, git, gitlab, github, linux, bsd, red hat, fedora, debian,
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ubuntu, opensuse, suse
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title: Rohan Kumar
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---
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<https://seirdy.one/> | <seirdy@seirdy.one>
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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.
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Education: Lewis and Clark College
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Bachelor of Arts, Major in Math and Computer Science
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Fall 2018 - Spring 2022 (expected)
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### Selected Coursework
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- Computer Architecture/Assembly Lang
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- Programming Language Structures
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- Cybersecurity Fundamentals
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- Networking Basics (CCNA)
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Work Experience
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---------------
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### June-August 2019: Software Engineering Intern, SAP Ariba, Palo Alto
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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.
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Projects
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--------
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Git repositories on [Sourcehut](https://sr.ht/~seirdy), [GitHub](https://github.com/Seirdy), and [GitLab](https://gitlab.com/Seirdy)
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### Clogstats
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[sr.ht/~seirdy/clogstats](https://sr.ht/~seirdy/clogstats)
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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.
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Tools used: Python, NumPy, Pandas.
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Technical Skills
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----------------
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### Cloud-Native Technologies
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Familiar with Docker Podman, Buildah, Skopeo, Kubernetes, OpenShift 4.
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### Operating Systems
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Linux, BSD, Windows, macOS. Able to adapt to any UNIX-like environment.
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### Linux
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Familiar with various distributions, inc. Fedora, RHEL, Debian, Ubuntu, and OpenSUSE.
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### Monitoring Systems
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Grafana and the InfluxData stack (InfluxDB, Telegraf, Kapacitor, Chronograf).
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### Programming Languages
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Proficient in Go, Python, Lua/MoonScript, and shell languages (Bash, Zsh, POSIX sh).
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Familiar with Java, C, SageMath, and Haskell.
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### Python
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Familiar with math and data science libraries such as the SciPy stack, Jupyter notebooks, and Pandas.
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### Other Tools
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Git, Continuous Integration/Delivery (Jenkins, GitLab CI, Travis CI), Nginx.
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