About

Nishanth M L is a highly skilled Software Development Engineer with a passion for designing and developing high-scalable solutions for diverse industry organizations. With almost 5 years of relevant experience, Nishanth is proficient in a range of technologies including Java, Python, NLP, and Machine Learning. Currently working as a Software Engineer II at PayPal, Nishanth has a proven track record of delivering successful projects. At PayPal, he designed and developed a distributed Python model inferencing system that serves over 200 million requests per day with a latency of around 10ms. This project has reduced risk/fraud-related loss by $3 million with $150k of operational cost. Nishanth also built an ML Model pre-production testing platform called Quokka, which saves around 720 hours of developer time previously spent on model testing. Additionally, he designed and developed an efficient way of storing and deploying ML models in production that reduces the deployment and downtime of new ML models. Prior to PayPal, Nishanth worked as a Software Engineer at TiVo, where he was involved in several exciting projects. He built a POC for predicting moods and themes of a given song using metadata and mp3 file of the song, which got recognized and is now being productionized. He also built a text classification module for classifying Wiki pages for Portuguese, Russian, Spanish, and Dutch languages. Furthermore, he developed a standard text data visualization tool using TF-IDF, PCA, T-SNE, and Tensor-board. Nishanth holds a Bachelor of Engineering degree in Information Technology from PES University. He is a skilled Software Engineer, ML expert, and Research Scientist with expertise in Python, NLP, Text Classification, SVM, CNN, and Java. Nishanth is an ingenious developer who aspires to combine his broad background with strong technical skills to excel as an engineer.