Dana Aubakirova
Paris, Île-de-France, France, Kazakhstan
Summary
🤩
RockstarDana Aubakirova is a research-focused machine learning engineer and SmolVLA Lead at Hugging Face in Paris, specializing in the intersection of computer vision and machine learning with a fascination for human perceptual priors. She progressed rapidly from research intern to lead while driving work on compact vision-language models and production research. Her background blends rigorous mathematics (BS) and a top-ranked MVA master's (ENS Paris‑Saclay, Mention Très Bien) with practical contributions, including a co-authored IEEE TIFS dataset paper on thermal faces. Dana’s projects span vision, speech and NLP — from training FastSpeech2 on Nigerian Pidgin to fine-tuning Seq2Seq models for patent generation — highlighting an unusually interdisciplinary toolkit. She combines academic rigor with hands-on model engineering to build efficient multimodal systems.
3 years of coding experience
Github Skills (22)
transformers10
pytorch10
language-model10
python10
machine-learning10
language-models10
seq2seq10
flax10
deep-learning10
tensorflow10
natural-language-processing10
bert10
transformer10
speech-recognition10
nlp10
Programming languages (2)
Github contributions (5)
danaaubakirova/transformers
May 2024 - Aug 2024
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:99 pushes, 3 branches in 2 months
danaaubakirova/blog
Jul 2024 - Feb 2025
Public repo for HF blog posts
Contributions:105 pushes, 5 branches in 6 months
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