Ramya Sree
About Ramya Sree
Ramya Sree is a Cartography QA Analyst with expertise in developing 3D Semantic Maps for automotive applications. She has a background in geomatics and has contributed to localization maps and augmented reality map visualizations since 2019.
Work at Civil Maps
Ramya Sree has been employed at Civil Maps since 2019, serving as a Cartography QA Analyst. In this role, she focuses on ensuring the quality and accuracy of cartographic data. Her work contributes to the development of localization maps, which are essential for various applications in the automotive industry. She specializes in creating 3D Semantic Maps, which enhance the functionality of navigation systems and improve user experience.
Previous Experience at RMSI Pvt. Ltd.
Prior to her current role, Ramya Sree worked at RMSI Pvt. Ltd. as a GIS Engineer from 2016 to 2017. During her nine-month tenure, she gained experience in geographic information systems, contributing to projects that required spatial analysis and data management. This position provided her with foundational skills that she later applied in her career in cartography and mapping.
Previous Experience at Infosys Limited
Ramya Sree also worked at Infosys Limited as a Senior Process Executive from 2017 to 2019. Her role involved managing processes and ensuring operational efficiency in the Hyderabad Area, India. This experience helped her develop strong analytical and problem-solving skills, which are beneficial in her current position in cartography.
Education and Expertise
Ramya Sree holds a Master of Technology (MTech) in Geomatics from the Survey of India, Indian Institute of Surveying and Mapping, where she studied from 2013 to 2015. She also earned a Bachelor of Engineering (BE) in Geo Informatics from Andhra University. Her educational background provides her with a solid foundation in mapping technologies and geographic data analysis.
Contributions to Augmented Reality Map Visualization
Since joining Civil Maps, Ramya Sree has been involved in creating an Augmented Reality Map visualization. This project aims to enhance passenger experience by ensuring that vehicles are aware of their surroundings. Her contributions to this initiative demonstrate her expertise in integrating advanced mapping technologies with practical applications in the automotive sector.