Alara Dirik
Stony Stratford, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAlara Dirik is a curious and ambitious machine learning researcher and engineer with 8 years of experience, currently pursuing a PhD at Imperial College London focused on 2D and 3D vision generative models while consulting to turn moonshot ideas into products. She combines strong analytical skills and self-directed learning with hands-on contributions to flagship open-source projects like Hugging Face Transformers, where she improved CLIP and OWL-ViT image feature pipelines and enabled robust image preprocessing. Her work sits at the intersection of deep learning, generative modeling, and computer vision, with a track record of making research systems production-ready. Based in the UK and academically trained across Turkey and the UK, she brings both multidisciplinary curiosity and practical engineering discipline to complex, previously “impossible” problems.
8 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Boğaziçi ÜniversitesiDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Imperial College LondonBachelor of Science - BS, Bachelor of Science - BS at Yildiz Technical UniversityMaster of Science - MSc, Master of Science - MSc at University of Glasgow
German, English, Turkish
Github Skills (10)
transformers10
computer-vision10
pytorch10
deep-learning10
python10
image-processing10
machine-learning9
natural-language-processing8
tensorflow7
bert7
Programming languages (6)
Github contributions (5)
huggingface/transformers
Jun 2022 - Jan 2023
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:364 reviews, 38 commits, 101 PRs in 7 months
Contributions summary:Alara's commits primarily involve modifying and improving the image feature extraction process within the `transformers` library. Specifically, the user made code changes related to the `CLIP` model, moving image utilities, converting RGB, and resizing images. The user also worked on the `OWL-ViT` model, adding components for zero-shot object detection and fixing bugs in the image embedder and text embedder. Furthermore, they made changes to enable center-crop for various image formats.
audioinferencemachine-learning-modelsmultimodaltransformers
alaradirik/transformers
Jun 2022 - May 2023
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Contributions:416 pushes, 68 branches in 10 months
pytorchnlptransformersartdeep-learning
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