Saad Ahmed is a pragmatic software engineer and CS undergraduate from Lahore with six years of hands-on experience building and maintaining product-grade systems at startups. He gravitates toward databases, distributed systems, kernels, and network stacks, and brings a practical business-aware perspective from making design decisions in real-world product contexts. A Unix enthusiast and hobbyist tinkerer, he has also contributed to the popular fastai library, improving tensor utilities and notebook integration—showing comfort across ML tooling and low-level system work. As a former student club co-lead and teaching assistant, he combines mentorship and teaching experience with shipping software, and he consistently bridges academic concepts with production engineering.
6 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, 3.59/4.0, Bachelor's degree, Computer Science, 3.59/4.0 at Information Technology University
Contributions:7 commits, 2 PRs, 5 comments in 1 day
Contributions summary:Saad primarily contributed to the fastai deep learning library by addressing issues and adding new features related to tensor manipulation and notebook integration. They refactored the `_array2tensor()` function to support keyword arguments, enhancing its flexibility. Additionally, they addressed a UTF-8 encoding issue in the README.md file. The user also updated and reverted notebook-related code changes, showcasing active involvement in maintaining the library's functionality.
A competitive programming website that has it's own judge. Inspired by codeforces, google kickstart and later on, lightOJ
Contributions:11 PRs, 73 pushes, 11 branches in 9 months
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