Julien Gille
About Julien Gille
Julien Gille is a Staff Software Engineer at Deepcell, Inc., where he has worked since 2022, contributing to deep learning applications in the biotech sector. With over two decades of experience in software engineering, he has held various roles in notable companies, including Boost (Suisse) SA and Reuters.
Work at Deepcell
Julien Gille has been employed at Deepcell, Inc. as a Staff Software Engineer since 2022. In this role, he has contributed to the development of deep learning applications specifically for cell imaging and sorting. His work focuses on areas such as prenatal care and cancer research, which are significant in the biotech industry. His expertise in AI model development using tools like PyTorch and TensorFlow is essential for advancing the company's technological capabilities.
Previous Experience
Prior to his current role, Julien Gille held various positions in notable organizations. He worked at Boost (Suisse) SA as a Senior Consultant from 2011 to 2015 in the Geneva Area, Switzerland. He also served as a Team Manager at UBP - Union Bancaire Privée for six months in 2006 to 2007, and later as a Development Manager from 2007 to 2008. His tenure at Reuters spanned from 2000 to 2006, where he progressed from Software Engineer to Team Leader and Architect, accumulating extensive experience in software development.
Education and Expertise
Julien Gille earned a Master’s Degree in Engineering from INSA Toulouse - Institut National des Sciences Appliquées de Toulouse, where he studied Computer Sciences from 1995 to 1998. His educational background laid the foundation for his extensive expertise in software engineering, particularly in Unix/Linux and Microsoft .Net environments. He possesses over two decades of experience in web services and client-side web development, reflecting his comprehensive knowledge in the field.
Technical Skills
Julien Gille has developed a strong technical skill set that includes proficiency in both PyTorch and TensorFlow, which are crucial for developing AI models in the biotech sector. His background in software engineering encompasses a wide range of technologies and methodologies, enabling him to adapt to various development environments. His experience with Unix/Linux and Microsoft .Net further enhances his versatility as a software engineer.