About

Harsh Rathi is a highly skilled and experienced Research Scientist and Software Engineer, currently working at Microsoft. With a Bachelor and Master of Technology in Computer Science from the prestigious Indian Institute of Technology in Delhi, Harsh has a strong educational background and has gained extensive experience in the technology industry. Harsh has worked as a core team member of Adobe Marketing Cloud Data Platform, where he utilized Apache Spark as the core technology. He has also worked in the area of Big Data Distributed Parallel Programming Paradigms, including Hadoop and Giraph, for keyword search by processing data stored in huge databases. Additionally, Harsh has experience in Image Processing, Motion Tracking, Debugging of graphics in Android Ice Cream Sandwich, and VOIP Systems on SIP Protocol and Search Engine Development. Harsh's Master's Thesis focused on Distributed Multi-Keyword Search in Big Data, solving the Steiner Tree Problem for query keywords in Big Data visualized as a graph, using Distributed Parallel Programming paradigms like Map-Reduce and Pregel Model, and implementation in Hadoop and Giraph. Harsh's Tech Stack includes Big Data, Search, Spark, Hadoop, Image Processing, Android, Scala, UI, and Software Engineering. With almost four years of relevant experience, Harsh is a highly skilled and knowledgeable professional with a passion for technology and innovation. Currently, Harsh is working at Microsoft, where he is providing the biggest Super Computer on Public Cloud. With his strong educational background and extensive experience in the technology industry, Harsh is a valuable asset to any organization he works with.