Darja Fokina

Technical Writer at deepset

Brno Metropolitan Area Czechia
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Summary

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Rockstar
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Darja Fokina is a Technical Writer and Developer Educator with four years focused on making AI, API, and open-source developer experiences clearer and more usable. At deepset she authors and shapes documentation for Haystack—an influential open-source framework for building RAG, semantic search, and QA systems—combining hands-on repo contributions with doc architecture and onboarding improvements. Previously she scaled developer education at Twilio and improved engineering knowledge bases at Kiwi.com, bringing a practitioner’s empathy from customer-facing and process roles into technical communication. Skilled at distilling complex LLM and API concepts into practical how-tos and docstrings, she also mentors contributors and drives cross-team collaboration to reduce onboarding friction. Her background in process improvement and sociology informs a user-centered approach to information design that balances technical accuracy with real-world developer workflows.
code4 years of coding experience
job2 years of employment as a software developer
bookSociology and International Relations, Sociology and International Relations at Masarykova univerzita Brno
bookBachelor's degree, Global Business and Management, Bachelor's degree, Global Business and Management at NEWTON College
bookCzech Language, Geography, History, Czech Language, Geography, History at Univerzita Karlova v Praze
languagesEnglish, Russian, Czech, French
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Github Skills (9)

haystack10
python10
documentation10
generative-ai9
nlp9
language-model9
retrieval-augmented-generation8
question-answering8
large-language-models8

Programming languages (7)

TypeScriptJavaJavaScriptGoHTMLJupyter NotebookPython

Github contributions (5)

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deepset-ai/haystack

Apr 2023 - Mar 2025

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Role in this project:
userBack-end Developer & Technical Writer
Contributions:191 reviews, 94 PRs, 175 pushes in 1 year 11 months
Contributions summary:Darja primarily contributed to improving documentation and updating docstrings for various components within the Haystack framework. Their work involved correcting spelling, clarifying explanations, and providing additional details for methods in the retriever, generator, and reader modules. They also addressed formatting issues and added examples to preprocessor documentation to enhance user understanding and usability. Furthermore, they updated the Anthropic doc link, showcasing an understanding of the framework's interaction with external services.
pythonbertfinetuningproduction-readyhuggingface-transformers
Contributions:17 pushes in 2 days
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Darja Fokina - Technical Writer at deepset