Rahul Chalamala Resume


California Institute of Technology

B.S. in Computer Science

2022 – 2026

Graduate-level technical coursework:

  • Machine Learning and Data Mining (CS 155)
  • Large Language and Vision Models (EE 148)
  • Learning Systems (CS 156a)
  • Probability Models (ACM 116)
  • Game Theory (PS 172)
  • Econometrics (Ec 122)

Undergraduate-level technical coursework:

  • Algorithms (CS 38)
  • Linear Algebra (Ma 1b)
  • Data Structures (CS 2)
  • Discrete Mathematics (Ma 6a)
  • Probability and Statistics (Ma 3)
  • Functional Programming (CS 4)
  • Models of Computation (CS 21)
  • Group Theory (Ma 5a)

Professional Experience

Researcher at Together AI

August 2023 – Current San Francisco, CA

  • Improving data quality and training multimodal models.

    Undergraduate Researcher at Caltech Anima AI + Science Laboratory

    February 2023 – October 2023 Pasadena, CA
    advised by Dr. Kaiyu Yang Prof. Anima Anandkumar

    • Explored the use of Code Large Language Models, GPT-4 and ChatGPT Plugins in Python to enhance Lean-based automated theorem provers.
    • Leveraged retrieval-augmented generation to result in a 39% increase in proof success rate compared to a retrieval-free baseline model.

      Phillips Space Scholar at Air Force Research Laboratory

      June 2021 – July 2022 Kirtland AFB, NM
      advised by Dr. Joanna Hinks

      • Modeled the Air Force NTS-3 satellite's signal interference in Python and validated accuracy via field tests with the Joint Navigation Warfare Center.
      • Designed a sieve-based algorithm to generate navigation ranging sequences 26.15x faster than existing GPS satellite implementations.


        • International Collegiate Programming Contest (ICPC) North American Championship Qualifier (2023)
        • USA Computing Olympiad (USACO) Platinum Qualifier (2021)
        • Air Force Research Laboratory Outstanding Scholar Award (2021)
        • Stanford ACM Programming Competition Advanced Division Top 3 Award (2022)