Zafer Çavdar
Co-Founder & CTO at Dcipher Analytics
Munich, Bavaria, Germany
Summary
🤩
Rockstar🎓
Top SchoolZafer Çavdar is a Co-Founder and CTO with 11 years of experience building NLP-driven SaaS that turns unstructured text into actionable insights. He combines a strong academic foundation in computer and electrical engineering with hands-on expertise in distributed ML (Apache Spark), cloud back-end architecture, and production DevOps. At Dcipher Analytics he leads product and technical strategy to automate competitive intelligence workflows, while his prior roles at Kairos Future involved designing scalable microservices and leading a data science team. He has practical low-level programming and hardware interests that inform efficient system design, and a history of mentoring and teaching from university TA roles to Stanford-Koç bridge programs. Based in Munich, he also tackles NLU/NLG challenges publicly on GitHub, translating research-grade models into deployable analytics features.
11 years of coding experience
2 years of employment as a software developer
High School Science Student, High School Science Student at Bahçeşehir High School for Science and TechnologyExchange Computer Science, Exchange Computer Science at The University of British ColumbiaBachelor of Science - BS Computer and Electrical & Electronics Engineering, Bachelor of Science - BS Computer and Electrical & Electronics Engineering at Koç University
Turkish, English
Stackoverflow
73reputation
4kreached
3answers
3questions
Github Skills (135)
similarity-search10
python10
coreference10
entity-linking10
linkedin-api10
fasttext10
cython10
openai-api10
ai10
recommender-system10
nlp10
artificial-intelligence10
classification10
sequence-labeling10
text-summarization10
Programming languages (10)
Github contributions (5)
zafercavdar/fasttext-langdetect
Jun 2021 - Jan 2023
80x faster and 95% accurate language identification with Fasttext
Contributions:6 releases, 3 reviews, 23 commits in 1 year 7 months
fasttext
kairosfuture/BERTopic
Feb 2021 - Dec 2021
Leveraging fasttext and c-TF-IDF to create easily interpretable topics.
Contributions:3 releases, 25 reviews, 4 PRs in 10 months
leveragingfasttexttf-idfinterpretableidf
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