Silvio Vasiljevic
Software Engineer at LocalStack
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolSilvio Vasiljevic is a software engineer based in Vienna with nine years of hands-on experience building backend systems and developer tooling. Currently at LocalStack, he contributes to a widely used open-source project that emulates AWS services offline—work that includes implementing SQS behaviors, KMS grant support, and OpenSearch/Elasticsearch integrations to improve local cloud fidelity. He pairs academic rigor from TU Wien (BS/MSc in Computer Science) and teaching experience in distributed systems with industry roles across startups and research labs, giving him a practical yet research-informed approach to distributed and cloud-native problems. Known for focusing on core service correctness and observability, he blends thorough testing and bug fixes with feature work to make emulated cloud services reliable for developers.
9 years of coding experience
1 year of employment as a software developer
Vienna University of Technology
German, serbocroatian, English, Spanish, Romanian, Russian
Github Skills (15)
google-cloud-kms10
aws10
python10
testing10
amazon-sqs9
aws-sqs-fifo9
opensearch8
elasticsearchquery8
elasticsearch8
amazon-cloudwatch8
aws-cloudwatch8
elasticsearch-api8
amazon-elasticsearch8
aws-elasticsearch8
cloudwatch8
Programming languages (11)
Github contributions (5)
localstack/localstack
Sep 2021 - Jan 2023
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Role in this project:
Back-end Developer
Back-end DeveloperContributions:174 reviews, 32 commits, 126 PRs in 1 year 4 months
Contributions summary:Silvio's primary contributions center around enhancing the functionality of the LocalStack service, specifically focusing on AWS services like SQS, KMS, and CloudWatch Logs. They implemented tests for SQS message deletion and visibility changes, and added initial support for KMS grant operations. Further contributions include adding support for AWS OpenSearch and Elasticsearch, and fixing bugs related to parsing and logging, demonstrating a focus on improving core AWS service implementations within LocalStack.
serverless-cloudpythonaws-cloudtestingserverless
silv-io/mulambda
Jun 2022 - Nov 2023
A Serverless Platform for Automated Machine Learning
Contributions:1 release, 2 PRs, 39 pushes in 1 year 5 months
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