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title = "Personal Development"
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slug = "learning"
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_Archived at July 18th, 2020 and not updated thereafter._
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#### Personal development
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As a developer, it is important to always continue to learn and to make sure you keep up with the technological advancements. For this reason I spend at least one day a week on self-education.
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###### What I am currently working on:
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- Improvements within the infrastructure of Bytecode, applying Site Reliability Engineering (SRE) principles.
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- Building a central API system (REST and gRPC) for Bytecode, consisting of several microservices.
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- Creating code generation tools for project scaffolding (e.g. React and Redux) with the objective of more uniform code bases within Bytecode and less manual boilerplate code.
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- Building a tool within Bytecode to define and test import boundaries with a domain specific language.
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- Conduct research to create fixed "stacks" for development at Bytecode, and better definition of guidelines.
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- Self-education towards the foundations of Computer Science and Computational Science and Engineering.
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- Reading The Art of Computer Programming, part 1 to 4A (Donald Knuth)
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#### What I've been working on lately (most notably):
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- Delving deeper into Go/Golang development for enterprise applications
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- Specialization towards software architecture/design and SRE
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- Reading books related to productivity, management and soft-skills
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- Reading books related to process/management with software development
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- Reading Start With Why and similar books on startup branding and mission definition
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- Delving deeper into compiler engineering and assembly language(s)
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- Kubernetes in production
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##### What I want to learn (most notably):
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- Getting more acquainted with the purely functional programming languages Haskell and Elm
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- Systems programming with Rust
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- Embedded programming with C, C++ and/or Rust
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- Become familiar with Erlang, OCaml, C++, Dart, F# and Smalltalk for research purposes
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- Functional front-end web development with Elm, ReasonML and/or ClosureScript
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- WebAssembly, icm. Rust, Go and/or C
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- Artificial Intelligence and Neural Networks with Tensorflow
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