Filip Makraduli
Founding Developer Relations Engineer
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolFilip Makraduli is a developer relations and machine learning engineer with five years of experience applying ML to healthcare, retail, and developer ecosystems, and a Master's in Biomedical Data Science from Imperial College London. As a founding DevRel at Superlinked and early engineering hire at argoX.ai and SylphAI, he blends hands-on model engineering—LLM search, BERTopic clustering, sentence-transformer fine-tuning—with go-to-market and community growth strategies. His background includes applied research at AstraZeneca on 3D CT/MRI explainability and productionizing recommendation and causal-experimentation systems at Marks & Spencer. Comfortable moving between code, technical content, and stakeholder communication, he has authored tutorials and integrations that helped grow open-source LLM tooling like AdalFlow. He’s as interested in the business impact of tech as the research problems behind it, and often bridges product, community, and engineering to turn ML prototypes into usable developer experiences.
5 years of coding experience
3 years of employment as a software developer
Masters in Biomedical Data Science Computer Science, Masters in Biomedical Data Science Computer Science at Imperial College LondonBSc in Electrical Engineering & Information Technologies, BSc in Electrical Engineering & Information Technologies at Ss. Cyril and Methodius University in Skopje / Универзитет „Св. Кирил и Методиј“ во Скопје
Bulgarian, Macedonian, Croatian, Serbian, French, English
Github Skills (21)
summarization10
trainer10
python10
machine-learning10
optimizer10
information-retrieval10
llm10
agent10
ai10
generative-ai10
question-answering10
nlp10
faiss10
chatbot10
vector9
Programming languages (2)
Github contributions (5)
fm1320/ICL
Jan 2021 - Oct 2023
Contributions:1 release, 1 PR, 173 pushes in 2 years 9 months
fm1320/song-vibe
Oct 2023 - Sep 2024
AI song recommendations based on the feel of a song
Contributions:1 review, 5 PRs, 32 pushes in 11 months
embeddings-similarityfaissllmssentence-transformersvector-search-engine
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