Currently:
- βοΈ Something new...
Previously:
- π¬ Researched model architecture questions spanning pretraining, RL, and inference at OpenAI
- π Explored how scaling laws scale with data complexity
- πΎ Fine-tuned LLM agents to play games with online RL
- π Graduated from Carnegie Mellon '23 with Honors in Computer Science
- π My thesis on vision-language semantics was cited by Google Brain, Meta AI, Stanford, etc.
- π Published papers at ACL, ICLR, EMNLP, & EACL conferences and NeurIPS & ICCV workshops
- π€ Fine-tuned language models at Microsoft AI over summer '22
- π οΈ Worked on information retrieval, question answering, & summarization at various startups '20-21
- π§ Developed brain-computer interfaces with NSF funding and placed 1st nationally at NeuroTechX '20
- π Won 10+ hackathons including 1st @ Facebook '19, 2nd @ UCLA '19, 3rd @ MIT '20
Warning: has not learnt the Bitter Lesson. Prone to getting nerd-sniped by linguistically & cognitively motivated AI research directions.