Swati Sharma is a skilled software engineer with experience in notable companies including Google, Microsoft, Amazon, and a research role at the Cuneiform Digital Library Initiative. Swati has successfully developed and implemented various technical solutions, such as a data-extraction pipeline for 100 million users at Microsoft and an NLP pipeline at Amazon that automated 60% of ticket resolutions with high accuracy. Additionally, Swati's background includes improving communication processes and reducing project delivery estimation errors during an internship at Amadeus IT Group. With a Master's degree in Computer Science from the University of California, Los Angeles, and a Bachelor of Engineering from Thapar University, Swati demonstrates a strong academic foundation complemented by practical application in the tech industry.