About

Radha Ulhe is an experienced Machine Learning Engineer with a demonstrated history of working in the computer software industry. She is skilled in Data science, R, C, C++, Python and SQL, HTML5. Radha holds a Certification in Data science And Machine Learning from the International School of Engineering (INSOFE). Currently, she is working as a Data Scientist at OpsMx, a company that works for optimization in software delivery system on a cloud-based CI/CD platform. Radha is involved in building an AI-based software platform that ensures the new version of an application is working in line with the current version in rolling upgrade situations. Radha's approach to this project involves applying time series analysis and log clustering techniques on application performance metrics and application logs collected to discover the diversion of the test version of an application from the base version. She then conducts a deep study of the results to get 'Root cause analysis' by detecting anomalous behavior in time series data, getting context from log data and classification of log events, finding an association between different application performance metrics, and deriving an association between log events and changes in APM values. Radha's work involves using Spinnaker (Netflix + Google contributions), Canary stage, NLP, and unsupervised learning. Radha has previously worked at DeeDee labs as a Machine Learning Engineer where she was involved in the development of prosthetic limbs and bio-signal detectors. Her project aimed at building a low-cost myoelectric prosthetic arm that would be non-invasive and easy to use by amputees in their daily life. Radha's approach to this project involved building hardware and software platforms to collect myoelectric signals from an amputee's hand and training these signals using neural networks to classify them into hand gestures. She also studied different C++ libraries against their performance and an AI-chip CM1K. Radha has a Bachelor's degree in Computer Engineering from Pune Institute of Computer Technology. Radha's tech stack includes Data Scientist, Research Scientist, AI, ML, test, NLP, Python, SQL, Computer Vision, Neural Networks, CI/CD, product manager, and C. She has relevant experience of 6.45 years. Radha is a strong engineering professional with a passion for data science and machine learning.