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Akshita Singh
Scientist
Akshita Singh is a professional with a strong interest in reinforcement learning, particularly meta-learning and hierarchical RL, and maintains a blog at alok.blog.
Akshita holds a Master of Science (MS) in Computer Science with a GPA of 3.9 from UC Irvine Donald Bren School of Information and Computer Sciences, a BA in Economics, and a BS in Business with a GPA of 3.7 from the University of California, Berkeley. Additionally, she completed her High School Diploma in Math and Economics with a score of 95% at Delhi Public School - R. K. Puram.
In terms of professional experience, Akshita has worked as a Machine Learning Engineer and a former Machine Learning Engineering Intern (NLP, MLOps) at the Dana-Farber Cancer Institute. She also served as a Graduate Researcher focusing on ML and Health-Tech at UC Irvine Donald Bren School of Information and Computer Sciences. Prior to this, Akshita held positions as a Management Consultant specializing in Data Science, Senior Data Analyst, and Data Analyst at Accenture. She also worked as a Valuation Analyst at Deloitte and as a Course Developer and Facilitator for Financial Valuations at University of California, Berkeley, Haas School of Business.
