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Update resume with Python bindings for LSP.

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Danila Fedorin 2024-02-06 20:21:02 -08:00
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@ -129,10 +129,9 @@
<h2>Programming Language Engineer, <a class="project-link" href="https://chapel-lang.org">Chapel<i data-feather="link" class="project-link-icon"></i></a></h2> <h2>Programming Language Engineer, <a class="project-link" href="https://chapel-lang.org">Chapel<i data-feather="link" class="project-link-icon"></i></a></h2>
<div class="position-location">Hewlett Packard Enterprise | Summer 2022 - Present</div> <div class="position-location">Hewlett Packard Enterprise | Summer 2022 - Present</div>
<ul> <ul>
<li>Added support for compile-time reflection, various language keywords, and full scope resolution to compiler written in <em class="bold">C++</em>.</li> <li>Added support for compile-time reflection, various language features, and full scope resolution to compiler written in <em class="bold">C++</em>.</li>
<li>Led development of <em class="bold">Python</em> bindings for compiler, accelerating development of a linter and a language server by over 10x.</li>
<li>Designed and implemented <em class="bold">a type-safe error reporting API</em>, improving developer experience and compiler error messages.</li> <li>Designed and implemented <em class="bold">a type-safe error reporting API</em>, improving developer experience and compiler error messages.</li>
<li>Enabled rapid prototyping of language tooling such as linters by developing
<em class="bold">Python</em> bindings for compiler front-end.</li>
<li>Supported community growth by designing, launching, and authoring articles for the <a href="https://chapel-lang.org/blog/posts/welcome">Chapel language technical blog.</a></li> <li>Supported community growth by designing, launching, and authoring articles for the <a href="https://chapel-lang.org/blog/posts/welcome">Chapel language technical blog.</a></li>
<li>Laid groundwork for compatibility with leading-edge supercomputers by implementing initial <em class="bold">AMD GPU <li>Laid groundwork for compatibility with leading-edge supercomputers by implementing initial <em class="bold">AMD GPU
programming support</em> using <em class="bold">Clang</em> and <em class="bold">ROCm</em> tooling.</li> programming support</em> using <em class="bold">Clang</em> and <em class="bold">ROCm</em> tooling.</li>