About

Pandu Ranga Rao A V S R is a highly skilled and passionate software engineer with over 5 years of experience in building web applications and personal machine learning projects. He has a good amount of knowledge on Java, Python, and JavaScript and has used frameworks and libraries like Spring boot, slim, flask, React, Sklearn, TensorFlow, and Keras. Pandu is currently working as a Software Engineer II at PayPal, where he is working on the Masspay/Payouts module and migrating the Payouts Admin dashboard from dustjs to React and Express. Prior to joining PayPal, Pandu worked as a Software Engineer II at ZeMoSo Technologies, where he implemented every project abiding to clean code and atomic design standards and used event storming for segregating microservices. He worked on various projects, including a mini project on job search based on possible commute options, a mini project that centralized application to manage permissions for folders and files in a collaboration platform, and a project that extracts intents out of conversation using a ML model. He also worked on an application that enables cash forecasting for the treasury department. Pandu used React, Java, Spring Boot, Python, Flask, and PostgreSQL frequently as part of his work. Before ZeMoSo Technologies, Pandu worked as a Software Engineer at CallHealth, where he worked on the Global Customer Master (GCM) project and the Order Management System (OMS) of the company. He built APIs that enabled order creation, execution, and payment handling functionalities from OMS end using Java Spring, PHP's slim framework, and no-SQL database technology MongoDB. Pandu also got to learn and work on frontend technologies like Angular, JavaScript, JQuery, and AJAX. Pandu holds a Bachelor of Technology degree in Computer Science from the National Institute of Technology Calicut. He has a keen interest in operating systems, distributed systems, and mathematics. Pandu's tech stack includes Software Engineering, ML, Spring, Java, Flask, Frontend, Spring Boot, Python, Web, Keras, Microservices, NLU, Backend, Scikit, JavaScript, Kubernetes, TensorFlow, PHP, MySQL, MongoDB, Computer Vision, SQL, Search, test, Docker, Deep Learning, Naive Bayes, SVM, and OpenCV.