A global team of compassionate AI experts, including our Kaggle AI competition winners, have volunteered their time and expertise to improve animal welfare.

They are currently working on creative solutions to further boost pet adoption effectiveness, developing AI tools that can be deployed for global shelters and rescuers.

Below is our team of passionate and dedicated AI task force members:
Benjamin Minixhofer, Austria
Benjamin Minixhofer is a 19 year old developer from Austria. He just finished high school and is self-taught in machine learning. He will soon start mandatory paid community service in Austria and plans to study AI abroad afterwards.

After participating and reaching 6th place in the PetFinder.my AI challenge, he decided to further contribute to the welfare of pets by volunteering to write AI solutions for PetFinder.my.
Wu Yuanhao, China
Wu Yuanhao comes from a small town, and currently lives in the biggest city in China. He studied robotics in school and obtained the B.S. and M.S. degrees from Tsinghua University, Beijing, China.

He is now an enthusiast of AI, and wishes to make the world a better place with algorithms. He has taken part in many algorithm competitions, and he is a Competitions Grandmaster on Kaggle.
Christof Henkel, Germany
Christof Henkel completed his PhD in mathematics before working as a machine learning engineer at a startup in Munich 3 years ago. He specializes in deep learning, focusing on computer vision and NLP problems.

In parallel, he joined Kaggle 2 years ago to compete in solving machine learning problems, and has participated in over a dozen competitions. He is really looking forward to applying his expertise to do good by helping improve animal welfare.
Fedor Dobryanski, Russia
Fedor Dobryanski is a business analyst in Moscow, Russia.

He is a machine learning enthusiast that works on projects such as digital signal processing, options forecasting, pletismograthy, dental 3D visualisation and consumer demand forecasting.
Takumi Okoshi, Japan
Takumi Okoshi is a data scientist at a Japanese IT company, responsible for analyzing sports data.

He is honored to win 2nd place in PetFinder.my's Kaggle competition, and to participate in a cool AI project.
Genta Kikuchi, Japan
Genta Kikuchi works as a data scientist in the automotive industry and enjoys data analysis.

He feels that it is a great honor to lend a helping hand towards benefitting animal welfare.
Shotaro Ishihara, Japan
Shotaro Ishihara works as a data analyst at a Japanese newspaper company. He is a Kaggle Master with the handle name "u++" and enjoys data science competition.

He is honored to have performed well in PetFinder.my's competition, and that his work can contribute towards more efficient pet adoption.
Yuki Nakatsuka, Japan
Yuki Nakatsuka is a data scientist at a Japanese mobile network carrier company.

He is glad that their solution is adopted by PetFinder.my. He discovered that PetFinder.my has plenty of interesting data such as images, text, tabular data.
Yuya Osujo, Japan
Yuya Osujo is a machine learning engineer at a Japanese AI company.

He wishes that his AI solutions can bring forth more happiness for the homeless animals.

Join Our AI Task Force
Want to join our exciting AI Task Force and help improve animal welfare? Please get in touch with us!

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