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- Full-Stack Architecture, Development, Infrastructure & DevOps for Cloud-native solutions
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- Main technologies: C\#, Rust, Nix, Kubernetes, Terraform / OpenTofu, React, MongoDB, GitLab CI, GCP
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- Adopted Nix for reproducible builds & environments used both locally for development and for CI/CD
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- Expanded Observability using Sentry and integrations with Rust, C\#, React & Google Kubernetes Engine (GKE)
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- Adopted Rust as core part of our tech stack due to its strong type system, excellent tooling, safety & performance
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- Expanded Observability using Sentry and integrations with Rust, C\#, React & Kubernetes
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- Adopted Rust into our tech stack due to its strong type system, excellent tooling, safety & performance
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- Established reference architecture using Rust, Google Cloud Run, MongoDB Atlas, Nix & GitLab CI with scalability and evolution from monolith to microservices in mind
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#work(
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- Main technologies: C\#, ASP.NET Core, TypeScript, Service Fabric, Cosmos DB, Azure, AWS
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- Created a microservice-based backend with ASP.NET Core & Azure Cosmos DB
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- Implemented frontends in React & Angular for different projects
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- Built serverless backends for various client projects with AWS Lambda, DynamoDB & Serverless framework
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- Built serverless backends for various client projects with AWS Lambda & Serverless framework
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- Migrated Windows containers to Linux containers to improve performance
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- Migrated from Azure Service Fabric to Kubernetes for container orchestration
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@ -86,7 +86,8 @@
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dates: dates-helper(start-date: "May 2024", end-date: "Present"),
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degree: "Master of Science in Computer Science",
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)
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- Relevant Coursework: Data Structures and Algorithms, Software Architecture for Big Data, Network Systems
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- Current GPA: 4.0 / 4.0 (14 credits)
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- Relevant Courses: Data Structures and Algorithms, Software Architecture for Big Data, Network Systems
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#edu(
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institution: "Berufsbildende Schulen I Lüneburg",
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url: "youtu.be/JMkj8vP0eJw",
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)
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- Client project associated with upsquared GmbH
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- Developed a web-based frontend for Pheno-Inspect's Digital Phenotyping platform powered by Computer Vision
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- Developed web-based frontend for Digital Phenotyping platform powered by Computer Vision
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- Large drone images can be rendered & annotated efficiently with pixel-perfect accuracy
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- Main technologies: Next.js, Redux, MUI, fp-ts, OpenLayers, Rust (WASM), WebGL
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dates: dates-helper(start-date: "Nov 2018", end-date: "Aug 2019"),
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// url: "web.archive.org/web/20191021030141/https://www.letzte-werbung.de/melder",
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)
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- Allows users to report companies that send mail advertising despite a "No advertising please" sticker on the mailbox
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- Allows users to report companies that send mail advertising despite "No advertising" sticker on mailbox
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- Main technologies: TypeScript, Node.js, React, AWS Lambda, Serverless framework, DynamoDB
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#project(
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- *Industry Knowledge*: Software Architecture, Cloud-native Architecture, DevOps, Infrastructure as Code (IaC), Reproducibility, Scalability, Functional Programming, Open Source Development
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- *Programming Languages*: Rust, Nix, TypeScript, C\#, HCL, Bash, Nushell
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- *Backend*: Podman, Docker, gRPC, MongoDB, OpenAPI, GraphQL, buf, tokio, tonic, prost, axum, ASP.NET Core
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- *Backend*: Podman, gRPC, MongoDB, OpenAPI, GraphQL, buf, tokio, tonic, prost, axum, ASP.NET Core
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- *Frontend*: React, Next.js, Redux, emotion, MUI, storybook, webpack, fp-ts
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- *Infrastructure & DevOps*: Kubernetes, OpenTofu, GitLab CI, Linux, direnv, treefmt, git-hooks.nix
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- *Cloud Providers*: Google Cloud Platform (GCP), Firebase, Amazon Web Services (AWS), Azure
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