Karl Henreich Potenciano

Karl Henreich Potenciano has a diverse work experience in the field of software development and machine learning. Karl Henreich started their career as a Software Development Intern at Indra in November 2014, where they gained practical experience in software development. In 2015, they joined Klaseko Web Enrollments as a Junior Software Engineer, further enhancing their skills in software engineering.

In 2016, Potenciano joined SourcePad as a Machine Learning Engineer, where they focused on researching and implementing machine learning algorithms. Karl Henreich was responsible for reading and staying up to date with relevant papers and articles, building and cleaning datasets for model training, and training and evaluating deep learning models. During their time at SourcePad, Potenciano also took on the role of a Software Engineer - Web, handling routine code optimizations, exploring new tools and technologies, and monitoring application performance.

Potenciano's career then led him to Microblink, where they continued their work as a Machine Learning Engineer. Microblink acquired SourcePad, allowing him to apply their previous experience and knowledge to develop machine learning models. Karl Henreich'sresponsibilities included reading relevant research materials, building datasets, and training and evaluating deep learning models.

In 2023, Potenciano joined Analytiks Inc. as a Data Science Teaching Assistant. In this role, they provided support to lead instructors, conducted interactive activities for students, assisted students through one-on-one meetings and live video conversations, and reviewed coursework to provide valuable feedback.

Overall, Potenciano has a strong background in software development and machine learning, with experience in research, data preparation, model training, and teaching.

Karl Henreich Potenciano attended the Polytechnic University of the Philippines from 2011 to 2014, where they pursued a degree in Information Technology and completed the required units for their program. Additionally, in November 2021, they obtained a certification in Deep Learning Specialization from Coursera.