Expert Software Architect / Engineer
Distributed Systems · Cloud · Engineering Discipline
Linux / Open Source Contributor
What I Do
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Distributed systems architecture — Design and hands-on implementation of high-throughput, event-driven microservice platforms across fintech, blockchain, and enterprise contexts; from near real-time systems at Barclays to microservice modernisation at Leonteq and Metaco
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Technical & architectural depth — Driving monolith-to-microservice transitions, cross-team coordination, and raising engineering maturity through hiring, process, and tooling
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Cloud & infrastructure — Production systems on Azure, GCP, and AWS; containerised workloads with Kubernetes and Docker; GitOps, DevOps, and CI/CD pipelines
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Performance & scalability — Optimising throughput and latency at scale: high-frequency data pipelines, real-time ticking risk systems, and event-driven architectures with Kafka and cloud messaging
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AI-augmented development — Leveraging best-of-breed LLM tooling (Claude Code with parallel instances development for rapid delivery)
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Pragmatic agile delivery — Strong focus on scope management, requirements clarity, and iterative delivery with BDD/TDD
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Electronics & embedded systems — DC power systems, sensor integration, Arduino/ESP32 firmware in C; FPGA development with Verilog
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Open source & Linux — Active development on the Linux platform; open source contributor and advocate
Open Source & Personal Projects
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Arch Linux — Edited many wiki articles; maintainer of several packages in the AUR
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redis — Memory allocation fix to the Windows port
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KDE — Reported and contributed to many bug reports
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LibreCAD — Fork implementing UI for repetitive resize/duplicate operations
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Fedora & Ubuntu — Maintained several packages across COPR/PPA
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Various — Bug fixes and PRs to scalajs, SDKMAN!, neovim-qt, vim-scala, xournalpp, and others
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OGWater — Personal project: fault-tolerant, solar-powered off-grid irrigation system; Raspberry Pi cluster with Arduino/ESP32 nodes, eletronics/hardware implementation, automated kernel builds and deployment with PyInfra, end to end hardware simulation with QEMU and scallfolding for rapid testing