About

Sudhanva Mg is an experienced Software Developer with a strong background in Artificial Intelligence and Machine Learning. He holds a Master of Science in Artificial Intelligence from the University of Manchester and a Bachelor's Degree in Computer Science from Dayananda Sagar University. Sudhanva is passionate about advancements in Reinforcement Learning, Computer Vision, Artificial General Intelligence, and Machine learning approaches. Currently, Sudhanva is working as a Software Developer at Wakelet, where he has built an Image as a service using serverless stack and Go to replace a 3rd party service, reducing cost by 25% and loading time of images by 15%. He has also developed an Accounts service that applied PKCE and OAuth flows and an optimized react application with optimistic updates, cache, GA events, and a UI kit. Additionally, Sudhanva has enabled a Data pipeline to create Machine Learning training data by allowing internal users to make decisions on the raw data. Prior to his current role, Sudhanva worked as a Data Scientist at Survaider, where he developed a statistical model to weigh every source based on the input scattering pattern over the past “n“ months, helping reduce the scrapping time from 8-9 hours to 2-3 hours. He also led a cross-functional team to develop, integrate, and deploy the first machine learning engine and its architecture to automate the data analysis process. Sudhanva has also implemented an algorithm to calculate user rating based on the content using latent aspect rating analysis and built an algorithm to highlight phrase content in reviews using rule-based dependency parsing and a model for the classification of negative user phrases using Doc2vec and clusterization. Sudhanva's TechStack includes Software Engineer, ML, Reinforcement Learning, Computer Vision, AWS, UI, Data Scientist, Research Scientist, Big Data, Redis, Flask, AngularJS, Microservices, and Java. With almost three years of relevant experience, Sudhanva is a skilled and dedicated professional who is passionate about leveraging his expertise to drive innovation and excellence in the field of Artificial Intelligence and Machine Learning.