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Currently:

  • βš›οΈ Something new...

Previously:

  • πŸ”¬ Researched model architecture questions spanning pretraining, RL, and inference at OpenAI
  • πŸ“ˆ Explored how scaling laws scale with data complexity
  • πŸ‘Ύ Fine-tuned LLM agents to play games with online RL
  • πŸŽ“ Graduated from Carnegie Mellon '23 with Honors in Computer Science
    • πŸ” My thesis on vision-language semantics was cited by Google Brain, Meta AI, Stanford, etc.
  • πŸ“„ Published papers at ACL, ICLR, EMNLP, & EACL conferences and NeurIPS & ICCV workshops
  • πŸ€– Fine-tuned language models at Microsoft AI over summer '22
  • πŸ› οΈ Worked on information retrieval, question answering, & summarization at various startups '20-21
  • 🧠 Developed brain-computer interfaces with NSF funding and placed 1st nationally at NeuroTechX '20
  • πŸ† 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.

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