About

Meghana Ashok is a Research Engineer at AWS with a passion for the intersection of Machine Learning Algorithms and Natural Language Processing. Currently pursuing her Masters in Computer Science, Data Science at USC, Meghana has gained extensive experience in the tech industry and has a relevant experience of 3.87 years. Meghana's expertise lies in building end-to-end frameworks that enhance efficiency and resolve issues. At Salesforce, she served as SMTS - Machine Learning and Software Engineering Intern where she worked with tech stacks such as Docker, Docker swarm, Headless chrome, Jenkins, Saucelabs, Nodejs-Puppeteer, dockerode, python, and react. Meghana developed an algorithm to launch tests in parallel, significantly increasing efficiency. She also built a web application using React and Node.js with a scraper service and hosted the framework. Meghana's education background includes a Master of Science in Computer Science, Data Science from the University of Southern California and a Bachelor of Technology in Information Technology from the National Institute of Technology Karnataka. She also completed her 12th grade in physics, chemistry, mathematics, and electronics from Vidhya Vardhaka Sangha Sardar Patel Pre University College and her 10th grade from Vidya Vardhaka Sangha Sardhar Patel High School. Meghana's tech stack includes ML, Research Scientist, AWS, NLP, Data Scientist, Docker, Jenkins, NodeJS, test, Javascript, Web, and Python. With her expertise and experience, Meghana is a valuable asset to any team looking to build efficient and effective tech solutions.