# Giridhar Subramanian > Senior Software Engineer at Galileo (SoFi) Location: San Francisco Bay Area, United States Profile: https://flows.cv/giridhar ## Work Experience ### Senior Software Engineer @ Galileo Financial Technologies Jan 2024 – Present | San Francisco Bay Area Working with/on : Temporal - https://temporal.io/ Payment Rails - Fedwire/Fednow ISO 20022 ### Software Engineer @ Galileo Financial Technologies Jan 2021 – Jan 2024 Part of the Credit Card Authentication and Authorization team. Work on development of new features and maintenance of the credit card Authentication and Authorization process. Work with clients to integrate their systems with Galileo by live testing and bug fixes. Work on Splunk to create alerts to ensure that we catch bugs and issues early. ### Software Engineer Intern @ Amazon Jan 2020 – Jan 2020 | Palo Alto, California, United States • Built an Alexa feature to drive voice enrollment to provide an improved personal shopping experience to users. • Developed an API to render dynamic voice enrollment upsell dialogue to the user. • Collaborated across teams to integrate the API with a rule engine to enable configurable user engagement and to avoid spamming of voice enrolment up-sell. • Captured relevant data points to drive business decisions in the future relating to voice enrollment. ### Software Development Engineer @ HIPBAR Jan 2018 – Jan 2019 | Chennai Area, India • Built a SaaS platform for the State Government and delivery service operators to monitor and issue permits for the delivery of alcoholic beverages. • Integrated a third party rule engine service with our backend for promotions and coupons. • Leveraged knowledge in git and distributed systems to build low latency applications using a microservices architecture. • Refactored code to transition from Python monolithic to Go microservices ### Research Intern @ National University of Singapore Jan 2017 – Jan 2018 | Singapore Mentor: Michaël J.A. Girard, Assistant Professor Applied Deep Learning - Healthcare • Developed a deep learning approach to enhance the quality of optical coherence tomography (OCT) images and significantly reduced the scanning time. • Worked on a multi-machine OCT image enhancement algorithm that facilitated as a prepossessing framework for 3D OCT segmentation tools. ### Executive Graduate Trainee @ Fidelity Investments Jan 2016 – Jan 2017 | Chennai Area, India Data Engineering • Worked in the Data Migration team on migration of data from Oracle to Salesforce. • Created and modified workflows for migration of data and oversaw migration runs. • Performance tuning and enhancement of database transactions involving bulk data using Oracle PLSQL and Informatica. ### Summer Intern @ CSIR-CEERI Jan 2015 – Jan 2015 | Chennai Area, India Mentor: Dr.Madan Kumar Lakshmanan, SCIENTIST, CSIR-CEERI Machine Learning. • Worked on Statistical approach for classification of Plastic polymers. Partial Least Squares Discriminant Analysis (PLS-DA) was done on NIRS data comprising of various plastic polymers. • Results showed great promise with a high percentage of accurate classification >98% for all the classes of plastics considered. ### Intern @ Indian Institute of Technology, Madras Jan 2013 – Jan 2013 | Chennai Area, India Mentor: Narayanaswamy N S, Professor, Computer Science Dept Algorithms • Developed a portal for dynamic car pooling services and researched means of using graph theory and clustering algorithms to group customer location data. • Implemented and studied the performance of Dynamic Programming and Greedy Algorithms for finding the shortest route. ## Education ### Master's degree in Computer Engineering New York University ### Bachelor’s Degree in Electronics and Communications Engineering National Institute of Technology, Tiruchirappalli ### Mathematics and Computer Science P.S.B.B School, KK Nagar, Chennai ## Contact & Social - LinkedIn: https://linkedin.com/in/girisubram --- Source: https://flows.cv/giridhar JSON Resume: https://flows.cv/giridhar/resume.json Last updated: 2026-03-29