About

Sarveshwaran Dhanasekar is an Applied Scientist at Amazon, with a strong background in Machine Learning and Software Engineering. With almost 4 years of relevant experience, he has worked in various roles at Amazon, including Machine Learning Engineer and Applied Scientist Intern. During his time at Amazon, Sarveshwaran has been involved in developing Recommendation and Ranking Algorithms for feeds on Amazon Spark, and has implemented multi-tagging features for Spark feeds. He has also performed analytics using PySpark and AWS, and implemented PoC's in Pandas, gaining valuable insights into the workings of s3. His work has resulted in production for iOS platforms in the US region in Jul '17. Sarveshwaran holds a Master of Science degree in Language Technologies Institute - Computer Science from Carnegie Mellon University, which he completed in 2019. Prior to this, he completed his Bachelor of Technology in Computer Science and Engineering from VIT in 2017. He also graduated from Delhi Public School, Bangalore South in 2003 with a Science with Computers background. Sarveshwaran has a strong tech stack that includes Research Scientist, ML, and Software Engineer. He is a dedicated and passionate individual who is constantly looking to expand his knowledge and skills in the field of Machine Learning and Computer Science. With his experience and expertise, he is well-positioned to take on challenging roles in the industry and make valuable contributions to the field.