Zaeem Ansari
Database Administrator
Regina, Saskatchewan, Canada
Summary
🤩
Rockstar🎓
Top SchoolZaeem Ansari is a Microsoft Certified Database Administrator with over 18 years of hands-on experience managing and hardening SQL Server environments, currently driving database reliability and automation at Information Services Corporation in Regina. He combines deep operational expertise—installations, backups, patching, high-availability, disaster recovery and performance tuning—with practical scripting skills in PowerShell and T-SQL to standardize routine DBA tasks and proactively surface issues before users escalate. Comfortable across platforms, he also supports MySQL and Postgres on Linux and has implemented cross-platform solutions such as MySQL triggers to mirror data into SQL Server. In recent years he’s expanded into machine learning tooling on GitHub, contributing backend implementations to a cross-framework conversion project (ivy) that touches TensorFlow, PyTorch, JAX and NumPy, showing a curiosity for bridging data engineering and ML ecosystems. Known for pragmatic automation—using Ola Hallengren scripts, dbatools, and custom monitoring—he pairs operational rigor with a developer’s mindset to keep systems resilient and auditable.
4 years of coding experience
5 years of employment as a software developer
MS, Computer Science, MS, Computer Science at Lahore University of Management SciencesA-levels, A-levels at KIMSBCS, Computer Science, BCS, Computer Science at Institute of Management Sciences, Lahore (formerly Pak-AIMS)
Urdu, English
Github Skills (9)
api10
python10
numpy9
tensorflow9
jax9
linear-algebra9
pytorch9
machine-learning8
deep-learning7
Programming languages (1)
Github contributions (5)
unifyai/ivy
Mar 2022 - Jan 2023
Convert Machine Learning Code Between Frameworks
Role in this project:
Back-end Developer
Back-end DeveloperContributions:492 reviews, 78 commits, 182 PRs in 10 months
Contributions summary:Zaeem primarily contributed to the implementation of the `argmin` and `argmax` functions, adhering to the Array API Standard. These changes involved modifying and adding code to the backend framework implementations, including TensorFlow, PyTorch, Jax, and NumPy, suggesting a focus on cross-framework compatibility. The user also worked on refactoring and adding examples of clip functions, and contributing to documentation efforts by completing docstrings for the `gather_nd` and `cholesky` functions.
machine-learningpythontensorflowpytorchnumpy
zaeemansari70/ivy
Mar 2022 - Sep 2023
The Unified Machine Learning Framework
Contributions:8 PRs, 592 pushes, 128 branches in 1 year 6 months
machine-learning
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