Hande Celikkanat
Senior ML Engineer at Common Crawl Foundation
Helsinki, Finland
Summary
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Top SchoolHande Celikkanat is a Senior ML Engineer based in Helsinki with 8 years of experience bridging academic research and production machine learning, currently working at the Common Crawl Foundation. Her background spans cognitive robotics, deep learning, and Bayesian methods, with a PhD-rooted track record in hierarchical generative models and emergent representation analysis in multilingual neural models. She has translated uncertainty-aware research into practical, well-calibrated language models using HuggingFace and has built customer-specific moderation systems with large language and transformer-based models. Known for probing how syntax and massive multilinguality shape model internals, she brings both theoretical rigor and hands-on deployment experience to large-scale text engineering problems. An often-overlooked strength is her neuroscience-informed work on EEG and affective state decoding, which informs her probabilistic approach to model interpretability and robustness.
7 years of coding experience
18 years of employment as a software developer
Ph.D., Ph.D. at Orta Doğu Teknik Üniversitesi / Middle East Technical University
Github Skills (24)
uncertainty6
jekyll6
jekyll-theme6
acl5
translation4
nlp4
deep-learning3
bert3
natural-language-processing3
github-pages3
sequence-to-sequence3
pytorch3
transformers3
machine-learning3
uncertainty-quantification2
Programming languages (3)
Github contributions (5)
Helsinki-NLP/Syntactic_Debiasing
May 2020 - Oct 2020
Contributions:106 commits, 103 pushes, 1 branch in 5 months
Helsinki-NLP/uncertainty-aware-nli
Oct 2022 - Feb 2024
Uncertainty-aware fine-tuning of transformers with NLI data.
Contributions:1 PR, 15 pushes, 2 branches in 1 year 4 months
pytorchnlptransformersnlibert
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