Chandrashekar Ramamurthy
Chandrashekar Ramamurthy is an Industry Veteran with over 23 years of experience in the Software Product companies in India and the US. He is a passionate technologist with special focus in AI and Machine Learning, and one who still codes! He has built many models in ML such as Object Recognition, and Sentiment Analyzer, using Linear Regression, Logistic regression, Neural Networks, and Naive Bayes models in Python. He loves to spread awareness and teach ML concepts and applications. He is a mentor for some internet-based ML courses. He is currently doing research in Neural Networks, NLP, and a few other cutting-edge areas.
He has donned various senior Leadership roles in the industry primarily in the Tech Development, Customer Fulfillment to being responsible for the entire Development Center, including setting up the team right from Freshers to Senior architects. In one of his previous stints as Head of Data Team in Commonfloor he was responsible for Listing, City and Country, and the acclaimed 360 Live-In-Tours of the Commonfloor web application, and app. He has also built many components using JAVA, Elasticsearch, and memcache. He has worked extensively on both RDBMS like MySQL DB, and NoSQL systems such as MongoDB, Elasticsearch etc… Earlier he created the widely used Online Assessment Platform for MeritTrac.
He also co-founded a tech company and was responsible for the architecture, development and release of the windows-based eLearning creation software. This software had bagged the highly acclaimed eLearning GOLD award in “Innovative Technology” awards by Brandon Hall, USA. He built a pioneering Capture engine in C and C++ using Windows messaging layer to intercept all the actions before it reached the application to automatically get valuable information on the UI elements interacted. This was used with great effect to reduce over 95% of the Documentation Tasks, and also perform those automatically on the live system. In his stint he has built engineering processes for automating build activities, and the development and release activities.
He did his B. Tech in Chemical Engineering from IIT BHU, and went on to do MS in Computer Science in USA. As part of his MS degree, he wrote a Denotational Semantic Interpreter which could interpret programs written in any language when given as input the Semantics of the Language, Parsed program, and input to the program. The semantics was specified using Jordan’s Denotational Semantics.