Wescott Sharples

Q: What is Wescott Sharples email address?

Email Wescott Sharples at wescott@relish.studio. This email is the most updated Wescott Sharples's email found in 2026.

Q: How to contact Wescott Sharples?

To contact Wescott Sharples send an email to wescott@relish.studio. (updated on August 26, 2024)

Machine Learning Engineer at Relish | Pittsburgh, Pennsylvania, United States

About Wescott Sharples

Wescott Sharples is currently making significant strides as a Machine Learning Engineer at Relish, where he is at the forefront of developing innovative solutions in the realm of deep learning and recommender systems. With a strong focus on automating structured ingredient extraction, Wescott has harnessed novel deep learning methods to streamline data processing, enhancing the efficiency and accuracy of ingredient identification in recipes. His expertise in Python and PyTorch has been instrumental in implementing these advanced algorithms, allowing for a more robust and scalable approach to data extraction.

In addition to his work on ingredient extraction, Wescott has played a pivotal role in developing cloud infrastructure that supports scalable online predictions and automated retraining of models. By leveraging platforms like Azure Databricks and AWS Lambda, he has ensured that the systems are not only efficient but also capable of adapting to new data in real-time. This infrastructure is crucial for maintaining the performance of the recipe recommender system he built, which automates meal planning and personalizes user experiences based on dietary preferences and ingredient availability.

Wescott's commitment to Test Driven Development (TDD) ensures that the solutions he delivers are reliable and maintainable, fostering a culture of quality within the team. His collaborative spirit and technical acumen make him a valuable asset in the fast-paced environment at Relish, where he continuously seeks to push the boundaries of what is possible in machine learning applications. As he pursues a full-time software engineering position, Wescott is eager to further apply his skills in deep learning and recommender systems, contributing to projects that enhance user engagement and satisfaction in the culinary space.

Wescott Sharples Work