Navneeth Krishna M

Machine Learning Engineer

Navneeth Krishna M is a passionate Machine Learning Engineer and Full-Stack Software Engineer with expertise in developing innovative solutions that bridge the realms of machine learning and software engineering. His open-source projects, such as FinGPT—an AI-based financial portfolio analysis assistant, and his experience building software tools for a credit risk model application at Aspire Fintech, showcase his background at the intersection of Technology and Finance. As Lead Machine Learning Research Assistant at DSCE, Navneeth spearheaded a team exploring ML-based optimization techniques for Cloud Service Selection, applied linear and logistic regression to predict AWS S3 performance based on user requirements, and deployed the model in a full-stack web application. Furthermore, his diverse experience includes designing and implementing algorithms at Endless Frontier Labs for stable matching of 150+ applicants and startups based on the principles of Machine Learning and Probability. Navneeth's proficiency extends to tackling regression, classification, decision tree and random forest models, and vision-based machine learning challenges through full-time roles, internships, academic research, and open-source projects. With a robust skill set in Python, PyTorch, Computer Vision, and a commitment to applying machine learning for impactful solutions, Navneeth is positioned to continue making significant contributions in the field of machine learning.

He holds an MS in Computer Engineering (with a focus on High-Performance Machine and Deep Learning) from New York University and a BE in Computer Science and Engineering from Dayananda Sagar College of Engineering in India.