Hi there 👋

I'm an engineer with interest in applied ML and software development. I love working with and contributing to open source projects.

🔭 I'm a core maintainer and ML engineer of Yolov5 & Ultralytics YOLOv8

On the side, I’m currently working on deploying deep learning models on edge devices. I'm working on android/IOS/Web development using React.

📫 How to reach me: ayush.chaurarsia@gmail.com

⚡ Some of my notable open source contributions:

• Yolov5(36k Stars) - Most commits after the creator. Built Segmentation support and MLOps features that allow users to make their pipelines device independent, enable better tracing and utilize spot instances.

• HuggingFace(80k Stars) - Added support for W&B backend for hyperparameter tuning for transformer models. (PR)

• Detectron2 (22K Start) - Worked with FAIR to build W&B integration to manage experiment tracking and model evaluation. (PR)

• SpaCy (23K Stars) - Built experiment and dataset management integration with W&B.(PR)

• PyCaret (5k Stars) - Redesigned entire dashboard logging API from scratch to support all types of experiment types in AutoML. (PR)

• Coqui-TTS (4.4k Stars) - Built experiment management API and added support for W&B. (PR)

• CycleGan-and-Pix2Pix (17K Stars) - Added support for training and inference tracking. (PR)

• Wandb (5K Stars) - Built a console login timeout feature which supports teletype consoles for all platforms( Linux, Unix, and Windows). (PR)

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