# Surya Tamraparni > Backend Engineering | Big Data Engineering | System Architecture Location: Fremont, California, United States Profile: https://flows.cv/suryatamraparni I am engaged in a mix of Backend Engineering and Big Data Engineering initiatives at Visa, wherein I am involved in both architecting and implementation of applications with demonstrable scale, security and efficiency. I like it when my work involves enough complexity that solution involves discussion, collaboration, exploration and innovation. I believe - I lead well. I have worked on several cross-team projects and have lead teams of devs. I am thorough and can learn quick. I can get things done. ## Work Experience ### Staff Software Engineer - Data @ Visa Jan 2022 – Present | Foster City, California, United States Leading development of a containerized service that allows digitally sharing a card using Java + Spring. I own the architecture, system design and implementation. Architecture | System Design | Containerization | GenAI Universal Card Enrollment Encryption | Software security | Scalability Leading development of a service that converts your visa card to a non-sensitive unique string which can be used with non-transactional visa services, without worrying about your card getting hacked over network or from disk. Traffic - ~10k hits per hour and growing. Realtime Linking - Building big data based applications to enable real time card enrollment and spend assessment. These applications output interchange(what proportion of your transaction goes to your bank) for every visa card in the world. Spark | Big Data | NoSQL ### Software Engineer III @ IPSY Jan 2022 – Jan 2023 | San Mateo County, California, United States ### Software Engineer II @ IPSY Jan 2019 – Jan 2023 | San Mateo County, California, United States Big data development | Software Engineering | Data Engineering ### Product Intern - Machine Learning @ ASML Jan 2018 – Jan 2019 | Greater San Diego Area ◦ Developed a data pipeline that estimated the life span of a laser to enable efficient inventory planning ◦ As a part of the pipeline, developed a highly responsive GUI tool that automated ETL tasks. The tool was adapted by multiple teams. ◦ The model was able to perform with a BER of 0.76 using SVMs, with the dataset having an imbalance of 70:30. Used Python, specifically SKLearn, Matplotlib and Keras for implementation and visualization. ### Software Engineer @ AIG Jan 2015 – Jan 2017 | Bengaluru Area, India Worked on developing data pipelines, data modeling and visualization. Used Python, Spark, Tableau and DB2 SQL. ## Education ### Master's degree in Computer Science UC San Diego ### Bachelor’s Degree in Computer Engineering B. M. S. College of Engineering ## Contact & Social - LinkedIn: https://linkedin.com/in/surya-tamraparni --- Source: https://flows.cv/suryatamraparni JSON Resume: https://flows.cv/suryatamraparni/resume.json Last updated: 2026-04-12