Summary
Aman Lunia is a Senior Machine Learning Engineer with a decade of experience building production ML systems across recommendations, AIOps, NLP, and time-series anomaly detection. A UC Berkeley M.Eng. and UW–Madison CS graduate, he has driven end-to-end pipelines and model solutions at LinkedIn—working on RAG-driven LLM agents, hiring prediction, and Learning recommendations—and previously led predictive health monitoring and log-based failure prediction at Oracle. Comfortable spanning data engineering, labeling, model training and retrieval/embedding architectures, he brings both research-informed techniques (transfer learning, LSTMs) and pragmatic productionization. Based in the New York metro area, Aman also mentors students as a UC Berkeley Alumni-in-Residence and pairs domain breadth with a knack for turning noisy operational data into reliable signals.
10 years of coding experience
4 years of employment as a software developer
Master of Engineering - MEng, EECS - Data Science and Systems, Master of Engineering - MEng, EECS - Data Science and Systems at University of California, Berkeley
Bachelor’s Degree, Computer Science with Mathematics(minor/certificate), Bachelor’s Degree, Computer Science with Mathematics(minor/certificate) at University of Wisconsin-Madison
Executive Education, Venture Capital Private Equity Program, Executive Education, Venture Capital Private Equity Program at Columbia Business School
English, Hindi