Ahmad Faiyaz
Software Engineer at DoorDash
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAhmad Faiyaz is a software engineer with 12 years of experience building large-scale backend and data infrastructure at FAANG and high-growth startups, currently at DoorDash. He specializes in architecting distributed systems, low-latency real-time pipelines, and AI infrastructure including RAG, vector search, and autonomous agents. His work has measurably improved reliability and performance—driving CI/CD stability above 90% and reducing data pipeline latency from minutes to sub-minute. Ahmad pairs production-grade engineering with ML productionization experience from roles at Meta, Amazon, and Traveloka, and has contributed to notable open-source projects like OpenGenus’s large contributor-driven code dataset and Dataform’s BigQuery pipeline tooling. An ACM ICPC World Finalist, he mentors engineering communities and leads long-running volunteer projects (LightOJ) while maintaining an active habit of algorithmic contribution. Based in the UK, he brings a pragmatic mix of systems design, data engineering, and hands-on prototyping to complex, data-driven products.
12 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at North South University
Bengali, English
Stackoverflow
316reputation
12kreached
13answers
6questions
Github Skills (34)
algorithm10
algorithms10
bigquery10
data-pipelines10
python10
data-engineering10
data-structure10
etl10
sql10
data-structures10
data-pipeline10
greedy-algorithms9
analytics9
sorting-algorithms9
typescripts8
Programming languages (5)
Github contributions (5)
dataform-co/dataform
May 2019 - Mar 2020
Dataform is a framework for managing SQL based data operations in BigQuery
Role in this project:
Data Engineer
Data EngineerContributions:64 commits, 52 PRs, 124 pushes in 11 months
Contributions summary:Ahmad primarily contributed to the data engineering aspects of the project, focusing on data pipeline management and SQL-based data operations within BigQuery. Their commits included modifications to the codebase to address issues in regex functionality, ensuring proper handling of data transformations. They also implemented enhancements for schedule initialization, validation, and caching of data processing results, demonstrating a focus on improving data processing efficiency and reliability.
analyticsdataformredshiftsqlbigquery
OpenGenus/cosmos
Oct 2017 - Oct 2017
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 4 PRs, 3 comments in 1 day
Contributions summary:Ahmad contributed several implementations of algorithms and data structures in Python, specifically focusing on the inversion count problem and the activity selection problem. They fixed a reported issue related to Trie data structure and added an implementation of the subset sum problem. Additionally, they corrected code indentation in one of the files.
datastructuresinternshipcontributordatasetopengenus
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