Faisal Riyaz
Software Engineer at Deliveroo
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolFaisal Riyaz is a software engineer with eight years of experience building scalable, low-latency systems and integrations, currently driving Deliveroo’s order-accept flows and Doordash integrations using Go, serverless AWS, Kafka and Terraform. He has a track record of improving critical production paths — from cutting API latency at Dive to building tier-0 serverless services that power order delivery. Faisal combines product-minded engineering with attention to reliability and clear communication, and has deep experience across backend stacks (Postgres, Redis, DynamoDB) and event-driven architectures. An active open-source contributor, he optimized SymPy’s matrix solve routine—replacing expensive inverses with a faster Gauss-Jordan implementation and adding tests—showing a knack for algorithmic improvements that matter in production. He also brings research experience from RISC-V toolchain work at IIT Madras and a practical background in adding security and linting rules at DeepSource. Based in Hyderabad, he balances velocity and engineering excellence while prioritizing empathetic collaboration.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology, Computer Engineering, Bachelor of Technology, Computer Engineering at Aligarh Muslim University
Github Skills (7)
mat10
computer-algebra10
matrix10
python10
linear-algebra10
sympy10
testing8
Programming languages (9)
Github contributions (5)
sympy/sympy
Oct 2018 - May 2021
A computer algebra system written in pure Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:17 reviews, 113 commits, 32 PRs in 2 years 8 months
Contributions summary:Faisal primarily focused on optimizing the `solve()` method within the `sympy/matrices/matrices.py` file. They implemented and refined the Gauss-Jordan elimination method to improve performance, replacing the slower inverse calculation. Additionally, the user corrected formatting and indentation issues in the code, and added tests for the `solve()` method. The user's work directly contributed to the efficiency of matrix solving operations within the SymPy computer algebra system.
mathpythonsciencecomputer-algebra-systemalgebra
friyaz/sympy
Oct 2018 - Oct 2020
A computer algebra system written in pure Python
Contributions:2 PRs, 117 pushes, 30 branches in 2 years
pythoncomputer-algebra-systemnumbasymbolic-mathalgebra
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