Tejaswini Jakka is a Master of Science in Computer Science student at Arizona State University, specializing in software development, data visualization, and large-scale systems. She is currently a Software Developer at ASU Decision Theater Network, where she contributes to multiple projects which are interactive visualization platforms that enables stakeholders to explore, analyze, and gain insights from massive datasets.
Previously, Tejaswini worked as a Software Engineer at F5 Networks, where she developed automation tools, REST APIs, and scalable backend systems using Python, Flask, Django, and Tornado. She enhanced productivity by streamlining workflows, migrated 20 Kubernetes microservices with a 15% efficiency improvement, and optimized database queries to reduce execution times from 20 minutes to seconds. She also built frontend features with ReactJS, improving user experience and responsiveness.
Her professional journey began with an internship at Darwinbox, where she developed backend microservices, automated HR analytics workflows, and built Tableau dashboards to visualize NLP outputs. Tejaswini’s research contributions include co-authoring papers on crop price forecasting using deep learning and autonomous driving with neural networks.
Her technical expertise spans Python, SQL, JavaScript, ReactJS, and Java, along with frameworks such as Flask, Django, FastAPI, and Tornado. She is experienced with PostgreSQL, MySQL, MongoDB, and Redis, and has strong skills in Docker, Kubernetes, CI/CD, Agile workflows, and API-driven architectures. Recognized for her collaborative spirit, adaptability, and leadership, Tejaswini has received formal recognition for customer-focused innovation and proactive problem solving.