Tun Shwe

United Kingdom
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Summary

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Rockstar
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Top School
Tun Shwe is a product-focused technical leader with 15 years of software engineering experience, 3 years in data engineering, and a decade of people leadership, known for turning complex data/BI/ML/AI challenges into production-grade solutions. He is a polyglot engineer who builds end-to-end systems—from front-end and mobile apps to resilient ETL pipelines (Spark, Kafka, Airflow) and highly available AWS infrastructure—following a you-build-it-you-deploy-it ethos with TDD and clean code. Tun has delivered agile products for global corporations, agencies, and startups, and brings practical expertise in video technologies (IPTV, VOD, DRM) that influences robust streaming and data designs. Based in the UK with a scientific training in molecular genetics from King’s College and Imperial College, he combines analytical rigor with a product mindset and a knack for mentoring teams to operationalize ML workflows.
code9 years of coding experience
bookMSc, Human Molecular Genetics, MSc, Human Molecular Genetics at Imperial College London
bookBSc, Molecular Genetics, BSc, Molecular Genetics at King's College London
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Github Skills (21)

python10
ats10
event-driven-architecture10
kafka10
machine-learning10
explore10
stream-processor10
portal10
stream-processing10
streaming-data10
data-science9
data-engineering9
online-machine-learning9
incremental-learning9
streaming9

Programming languages (6)

TypeScriptShellHTMLJupyter NotebookRubyPython

Github contributions (5)

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Contributions:180 pushes, 17 branches in 8 months
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Contributions:140 pushes, 7 branches in 1 year 2 months
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Tun Shwe