About

Devanshi Trivedi is a Full Stack Developer at SAP Conversational AI, with a passion for data structures, algorithms, and full-stack web development. She is a graduate student in Computer Software Engineering at San Jose State University, set to graduate in December 2020. Devanshi is actively seeking full-time opportunities as a Software Engineer (Frontend / Full-Stack Web Development) for Spring 2021. At SAP Conversational AI, Devanshi is working as a Frontend Developer Intern on developing new features and functionalities for the SAP Conversational AI platform. She is currently working with the frontend team on developing and unit testing new features for the platform. She has also worked in a startup environment with Obviously AI, where she integrated REST APIs for databases such as Salesforce, MongoDB, MSSQL, Redshift, and Firebase with backend in Python, highlighting user authentication feature. Devanshi is proud of developing HomeAway, a full-stack web application where users can search, post, and book properties at vacation destinations. She implemented a 3-tier scalable and distributed architecture using NodeJS, MySQL, MongoDB, MLab, and ReactJS and hosted the application on AWS Cloud with load balancers and EC2 for high availability. Devanshi is interested in full-stack web development, front-end development, cloud technologies, enterprise software development, user-focused Android applications, problem-solving with data structures and algorithms, distributed systems solutions for real-life scenarios, data analytics, and machine learning. Devanshi is a positive, open, and learning person who will bring a positive environment and ownership of the work to your company. She is experienced in developing end-to-end enterprise distributed systems using React JS, Redux, Node JS, VueJS, MySQL, MongoDB, HTML5, BootStrap, CSS3, JQuery, Rest Web-service, and optimization techniques such as connection pooling and Kafka. She also has experience in using testing tools like MOCHA, Chai, Sinon, and JMeter, as well as machine learning and data science libraries like Spark, numpy, pandas, Hive, and Jupyter Notebook. Devanshi is available for opportunities and can be reached at trivedidevanshi1097@gmail.com.