Shalet Dias
About Shalet Dias
Shalet Dias is an RPA Developer with expertise in developing image enhancement pipelines using computer vision techniques. He holds a Bachelor of Engineering in Computer Engineering from Visvesvaraya Technological University and a Master of Science in Computer Science from Georgia Institute of Technology.
Work at qBotica
Shalet Dias has been employed at qBotica as an RPA Developer since 2022. In this role, she focuses on developing automation solutions using Robotic Process Automation (RPA) technologies. Her work involves creating software bots that streamline various business processes, enhancing efficiency and productivity for clients. qBotica is known for its innovative approach to automation, and Dias contributes to this mission through her expertise in RPA tools.
Education and Expertise
Shalet Dias holds a Bachelor of Engineering (BE) in Computer Engineering from Visvesvaraya Technological University. She further advanced her education by obtaining a Master of Science (MS) in Computer Science from the Georgia Institute of Technology, where she studied from 2018 to 2021. Dias has developed expertise in computer vision techniques, particularly in creating pre-processing pipelines for image enhancements. She is also knowledgeable in Optical Character Recognition (OCR) technologies, including PaddleOCR, EasyOCR, and Pytesseract.
Background
Before joining qBotica, Shalet Dias worked at Glow Touch Technology Private Limited as a Technical Specialist from 2013 to 2014. She later served as a Data Engineer at Riskonnect, Inc. for ten months in 2015. These roles provided her with foundational experience in technology and data management, contributing to her skills in automation and software development.
Professional Skills
Shalet Dias is proficient in using UiPath RPA tools, which are essential for creating software bots that automate repetitive tasks. Her technical skills extend to developing pre-processing pipelines for image enhancements, showcasing her ability to apply computer vision techniques in practical applications. Her knowledge of various OCR technologies further enhances her capability to work with data extraction and processing.