Shaharia Azam

Senior Backend Engineer at HelloFresh

Berlin, Germany
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Summary

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Senior
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Top School
Shaharia Azam is a senior backend engineer with 13+ years of experience building scalable microservices, DevOps platforms, and AI-first developer tooling across fintech, SaaS, and enterprise environments. At HelloFresh he led org-wide GenAI adoption—creating a unified AI assistant used daily by 65% of the tech org, a central AI agent infrastructure powering 20+ agents, and AI PR automation that cut review cycles 4x. He combines hands-on systems engineering in Golang, Python, TypeScript and Kubernetes with strategic leadership: translating business goals into technical roadmaps, mentoring staff engineers, and driving governance for safe AI code generation. Previously he led backend and DevOps efforts at Paysera and multiple startups, architecting resilient microservices and CI/CD at scale. Based in Berlin, he contributes open-source tools via Shaharia Lab to make AI more accessible to developers and seeks staff engineering roles focused on force-multiplying platforms and measurable organizational impact.
code13 years of coding experience
job10 years of employment as a software developer
bookHigher Secondary Certificate, Science, Higher Secondary Certificate, Science at Satkhira Govt. College
bookBachelor of Science (B.S.), Information Technology, Bachelor of Science (B.S.), Information Technology at Newport University CED
bookSecondary School Certificate, Science, Secondary School Certificate, Science at Satkhira Govt. High School
languagesEnglish, Bengali, Hindi
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Github Skills (15)

doc10
cakephp10
documentation10
layout9
html9
css9
slim6
wkhtmltopdf6
twitter-bootstrap6
amazon-ec26
rest6
phpunit6
google-fonts-api6
ubuntu6
github4

Programming languages (14)

JavaC++CSSPugGoHTMLTypeScriptDockerfile

Github contributions (5)

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shaharia-lab/terediX

Mar 2023 - Jul 2024

TeReDiX (Tech Resource Discovery & Exploration): A powerful tool for organizations to discover, track, and monitor tech resources across various providers. Efficiently fetches and stores resource metadata, offering improved visibility, prometheus metrics, Grafana dashboards, and multiple deployment options.
Contributions:17 releases, 3 reviews, 149 PRs in 1 year 4 months
resource-discoveryresource-graphstech-real-estate
shaharia-lab/mcp-kit

Feb 2025 - Mar 2025

MCP (Model Context Protocol) Kit for Go - A Complete MCP solutions for ready to use
Contributions:4 releases, 3 reviews, 33 PRs in 1 month
aigenerative-aillmmcpmodel-context-protocol
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