Sajid Alam

Senior Software Engineer I at QuantumBlack, AI by McKinsey

London, England, United Kingdom
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Summary

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Rockstar
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Top School
Sajid Alam is a Senior Software Engineer at QuantumBlack (AI by McKinsey) with four years of experience building production-ready AI and data engineering platforms. He is a core maintainer of Kedro, contributing backend, CLI and CI/CD improvements that make the project enterprise-ready and more scalable across multi-cloud environments. Comfortable across the full stack, Sajid blends Python backend engineering with React frontend design, cloud-native infrastructure, and performance optimisation to deliver maintainable pipelines. He progressed from a QuantumBlack scholarship recipient to a senior role, reflecting a strong mix of technical delivery and community leadership through mentorship and open-source stewardship. Currently exploring agentic AIs, RAGs and MCP servers, he seeks projects that bridge cutting-edge AI research with robust, enterprise software practices. Based in London, he combines rigorous academic training in AI with hands-on experience shipping cloud-integrated tooling used broadly in data science teams.
code4 years of coding experience
job5 years of employment as a software developer
bookEdmonton County School
bookMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Queen Mary University of London
languagesBengali, English
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Github Skills (9)

kedro10
python10
pipeline10
cli10
pytest9
testing9
mlops9
cd8
cicd8

Programming languages (4)

TypeScriptJavaScriptVuePython

Github contributions (5)

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kedro-org/kedro

Sep 2021 - Jan 2023

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:1 release, 389 reviews, 75 commits in 1 year 4 months
Contributions summary:Sajid contributed to the improvement of the Kedro codebase. They worked on features related to the Kedro CLI, specifically around config file handling and pipeline imports for IPython/Jupyter. The user also implemented changes to the codebase related to micro packaging and the CI/CD.
experiment-trackingpythonsciencepipelinedata-science
SajidAlamQB/kedro-plugins

May 2023 - May 2023

First-party plugins maintained by the Kedro team.
Contributions:15 releases, 64 PRs, 107 pushes in 14 days
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Sajid Alam - Senior Software Engineer I at QuantumBlack, AI by McKinsey