About

Nishanth is a highly skilled Software Engineer II currently working at PayPal. He is passionate about coding and the latest technology, and is an admirer of Elon Musk. Nishanth has a keen interest in Machine Learning and has published an IEEE paper on the same. He is always looking forward to meeting like-minded people and building strong connections. Nishanth has 4.86 years of relevant experience in the field of Software Engineering. He has worked with TiVo in the past, where he was responsible for generating keywords from descriptions and plots of movies, tv-series, etc. He built a POC for predicting moods and themes of a given song, which was recognized and is now being productionized by trying out multiple Machine Learning models like SVM, Linear Regression, CNN, etc. He also developed a text classification module for classifying Wiki pages for Portuguese, Russian, Spanish, and Dutch languages. Additionally, Nishanth has developed a standard text data visualization tool using TF-IDF, PCA, T-SNE, and Tensor-board. During his tenure at TiVo, Nishanth also worked on AWS Lambda-Edge to log request header info, which is coming to AWS Cloud Front. He performed a detailed analysis of the existing "Notification Pusher" module and optimized it by three times. He identified four hours of inconsistency in data being served due to a fault in the caching mechanism of the RCS 2.x system. Nishanth also worked on NLP to train a model that suggests the deep-descriptor for movies, tv-series, etc. based on the description and other metadata. Nishanth holds a Bachelor of Engineering degree in Information Technology from PES University. His tech stack includes Software Engineering, ML, Text Classification, NLP, AWS, SVM, Python, Javascript, Data Scientist, Java, CNN, test, Search, product manager, Research Scientist, and infra.