Shiv Dayal
System Administrator
Patna, Bihar, India
Summary
🤩
Rockstar🎓
Top SchoolShiv Dayal is a seasoned System Administrator with 13 years of experience based in Patna, India, who blends hands-on infrastructure work with pragmatic programming skills. He has delivered operational support at scale in enterprise environments like Tech Mahindra and contributes to open-source projects as a technical writer, notably improving documentation and user experience for the popular deepchecks ML validation library. Trained as a BTech in Metallurgical Engineering from NIT Raipur, Shiv brings an analytical, process-driven mindset to systems engineering and documentation. His niche strength is improving clarity and usability for complex technical tools, turning tough Sphinx and docs challenges into accessible guides for engineers and data scientists.
13 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech Metallurgical Engineering, Bachelor of Technology - BTech Metallurgical Engineering at National Institute of Technology Raipur
Hindi, English
Stackoverflow
1,934reputation
176kreached
109answers
21questions
Github Skills (13)
html10
rs10
restructuredtext10
sphinx10
documentation10
python8
jupyter-notebook7
build-process6
cmake6
nginx6
build-system6
django6
gradle6
Programming languages (15)
Github contributions (5)
deepchecks/deepchecks
Mar 2022 - Apr 2022
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Role in this project:
Technical Writer
Technical WriterContributions:1 review, 25 commits, 10 PRs in 1 month
Contributions summary:Shiv's commits primarily focus on fixing documentation-related issues and improving the overall documentation of the `deepchecks/deepchecks` repository. The contributions involve resolving Sphinx errors, implementing Sphinx Gallery for generating examples, and updating the table of contents, thumbnails, and search functionality within the documentation. These modifications suggest a dedicated effort to enhance the clarity, accessibility, and usability of the project's documentation for users.
ml-modelspythonjupyter-notebookdata-modelsmodel-monitoring
shivshankardayal/memoir
Jul 2015 - Jun 2022
Contributions:35 commits, 33 pushes, 2 branches in 7 years
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