Prashanthi Matam

Prashanthi Matam is a seasoned software engineer with a comprehensive background in both academic and professional settings. Holding a Master of Science in Computer Systems Engineering from Northeastern University and a Bachelor of Technology in Computer Science from GITAM University, she has built a strong foundation in algorithms, object-oriented programming, and operating systems. Her educational journey has been complemented by extensive hands-on experience across a range of high-profile companies such as Discover, Goldman Sachs, Enel X, Capgemini, and Avani Infosoft. In her current role as an Application Engineer at Discover, Prashanthi has been instrumental in building telemetry infrastructure for monitoring ML models, developing and maintaining backend services like Multisheet API, enhancing UI features, and automating credential management through Kubernetes and AWS services. Her tech stack includes Python3, Angular JS, Typescript, Postgres, Snowflake, and Kubernetes. Additionally, she played a pivotal role in implementing dynamic logging for Java APIs and mentoring new team members. Her previous experience at Goldman Sachs as an Associate Software Engineer included improving UI/UX for the Camelot platform using React JS and JavaScript, enhancing data ingestion services, and working with MongoDB and Kafka to streamline backend processes. Her work revolved around full-stack development and agile methodologies. As an intern at Enel X, she developed full-stack web applications for alert monitoring, performed AWS migrations, and created performance monitoring scripts using Salesforce tools. At Capgemini, she specialized in Java-based payment web applications using Spring Boot and MySQL and created automation scripts to enhance API service efficiency. Early in her career at Avani Infosoft, she worked on an Android application for government-led data collection and biometrics. Her responsibilities involved backend development using Spring MVC and seamless integration with hardware devices. Prashanthi’s academic projects reflect her strong interest in cloud computing, machine learning infrastructure, and full-stack application development. These projects include building a serverless image recognition system using AWS Lambda and SNS, a shopping cart application deployed on AWS, and an Alexa-integrated Java application. Her technical arsenal includes a wide range of programming languages (Java, Python, C++, JavaScript), databases (MongoDB, MySQL, Postgres), frontend frameworks (React JS, Angular), backend tools (Node JS, Spring MVC), cloud platforms (AWS), and DevOps tools (Kubernetes, Jenkins). She holds certifications like AWS Certified Solutions Architect - Associate and Oracle Certified Associate - Java SE 8. She has demonstrated an enduring passion for software development, especially in areas like full-stack development, machine learning infrastructure, cloud computing, and automation. She has proven experience with Agile workflows and an ability to lead and mentor teams. Her career showcases a blend of strong technical proficiency, continuous learning, and a keen interest in leveraging modern technologies to solve complex problems.