One step at a time towards ASI. Currently spending most of my time researching humanity-inspired artificial intelligence to propose a new paradigm of machine learning algorithms that embed artificial collective intelligence using evolutionary processes and neuroscience-inspired self organizing neural network, neuromodulation, spiking, and sparsity. I am also a teaching assistant in mathematics and databases classes.During my Master's Thesis (2019), I contributed a question-answering conversational chatbot, which extracts sub-knowledge graphs from Wikidata to answer multi-turn natural language conversations using LLMs with multi-hop reasoning.Additionally, I also have a background in distributed consensus algorithms, distributed systems, and blockchain protocols.