March 2024 to present
RLHF Engineer
Responsible for developing and testing software involving reinforcement learning from human feedback (RLHF).
Clients include Google, Microsoft, Meta and Anthropic.
Tools used: C, Java, Python, Atlassian, Slack
Research Sources: Google Scholar, IEEE Xplore, Frontiers Media, Journal of Applied Physics, MPDI, SPIE Digital Library, Journal of Microelectromechanical Systems, American Institute of Physics, Advanced Materials, Optics Express, Nature Publishing Group, EGUsphere