Summary
Vaaibhavi Singh is a machine learning engineer with nine years of experience combining academic research and software development, currently pursuing a PhD at the SFI Centre for Research Training in Machine Learning (UCD) in collaboration with Eaton. She holds a First Class MS in Computer Science from University College Dublin and a distinction BTech from IIIT Vadodara, and has built practical ML solutions such as a solar PV forecasting model at UCD. Proficient in Python, C++, SQL and visualization tools (Power BI, Tableau), she has worked on topics from subsampling-based model selection to semantic web and backend development. Vaaibhavi blends mentorship and research experience—she was a Google Code-In mentor—and has a track record of translating theoretical methods into reliable, production-oriented models. Currently exploring generative AI and power management, she focuses on making novel discoveries that bridge energy systems and machine learning.
9 years of coding experience
Master of Science - MS, Computer Science, First Class Honors, Master of Science - MS, Computer Science, First Class Honors at University College Dublin
Bachelor's degree, Computer Science, First Class (Distinction) - 9.36, Bachelor's degree, Computer Science, First Class (Distinction) - 9.36 at Indian Institute of Information Technology Vadodara