About

As a Software Analyst at TIAA, Carol Sebastian has demonstrated a strong understanding of the latest technologies and their applications in the field of software development. With a Bachelor's degree in Computer Engineering from the Fr Conceicao Rodrigues Institute, she has gained a solid foundation in the principles of computer science and software engineering. Carol has over 1.69 years of experience in the industry and has worked with leading companies such as TIAA and Portal Computainment. During her tenure at Portal Computainment, she served as a Machine Learning Engineer and was responsible for designing deep learning models for optimized reverse image search and multi-label image classification. She also designed APIs to provide support to the back-end of the website. Her experience in machine learning and deep learning has enabled her to develop a strong understanding of search and backend technologies. Currently, as a Software Analyst at TIAA, Carol is responsible for developing software solutions that meet the needs of the organization. She is proficient in a range of technologies, including ML, deep learning, search, and backend development. Her ability to work collaboratively with cross-functional teams has enabled her to deliver high-quality software solutions that meet the needs of the organization. In addition to her technical skills, Carol is also a strong communicator and is able to clearly articulate complex technical concepts to both technical and non-technical stakeholders. Her ability to work under pressure and meet tight deadlines has enabled her to excel in her role as a Software Analyst at TIAA. Overall, Carol Sebastian is a highly skilled and motivated software analyst with a strong technical background and a proven track record of delivering high-quality software solutions. Her ability to work collaboratively with cross-functional teams and her strong communication skills make her a valuable asset to any organization.