Developing a retrieval-augmented generation (RAG) pipeline to process textual/visual data, including chemical images and graphs, from scientific literature for automated materials and chemistry design.

Created an algorithm to evaluate retrieval augmented generation (RAG) as a method for improving large language model (LLM) responsesWorked with other software developers to fine-tune a policy-chat bot using vector similarityResearched the use of vector embeddings and databases for LLMs, hallucinations, and deep reinforcement learning.

Enforced safety protocols and responded to emergencies, sharpening problem-solving and quick-thinking abilities.Communicated effectively with team and patrons, building teamwork and people skills.

Conducted RNA sequencing using R to explore a new method of bulk RNA sequencing.Spearheaded and executed detailed lab experiments, specializing in bio-informatics data analysis.Collaborated closely with postdoctoral researchers and Ph.D. candidates in research on inflammatory memory.

Led, planned, and coordinated educational meetings for a diverse group of 50 youths to cultivate scientific curiosity.Facilitated workshops and discussions, while fostering a supportive and inclusive learning environment.Designed interactive and engaging curricula promoting critical thinking, teamwork, and personal development.

Conducted biomedical lab experiments focusing on microbiological techniques to isolate and identify an unknown bacterial strain from the Charles River.Collaborated with a team of researchers and peers, engaging in critical thinking and problem-solving to interpret data.