Irina Puscasu
About Irina Puscasu
Current Role at Endava
Irina Puscasu is currently employed at Endava as a Machine Learning Engineer, based in Braşov, România. In this role, she is responsible for working on various machine learning projects that involve both Computer Vision and Natural Language Processing (NLP). Her duties likely include developing, testing, and deploying machine learning models to solve complex problems across multiple domains.
Previous Experience at Xperi Corporation
Prior to her current position, Irina Puscasu worked at Xperi Corporation as a Machine Learning Engineer Intern. Her tenure at Xperi lasted from 2020 to 2022, accumulating two years of experience. During this period, she gained valuable hands-on experience in machine learning, which contributed to her professional growth in the field.
Junior .NET Web Developer at Siemens
Irina Puscasu's initial career steps included a short stint at Siemens, where she served as a Junior .NET Web Developer in 2020. This role lasted for three months and provided her with an essential grounding in web development, which she later transitioned away from as her interests leaned more towards machine learning and deep learning.
Educational Background in Applied Informatics and Web Technologies
Irina Puscasu completed her Bachelor's degree in Applied Informatics at Universitatea Transilvania din Brașov, spanning from 2017 to 2020. She continued her studies at the same university, earning a Master's degree in Web Technologies from 2020 to 2022. During her academic career, she developed a strong foundation in both theoretical and practical aspects of computing.
Transition From Web Development to Machine Learning
During her Bachelor's degree, Irina Puscasu discovered a passion for deep learning, which prompted her to pivot from web development to machine learning. This transition was driven by her interest and involvement in projects related to deep learning, including both Computer Vision and Natural Language Processing (NLP). She leveraged her background in web technologies to expand her expertise into the machine learning domain.