Chinmaya Andukuri

Software Engineer (Research + ML)

I design and develop experiments and methods to investigate how AI systems can become better reasoners and help solve human problems. I also build out these AI systems and find ways to evaluate their potential impact on human experiences.
I have collaborated with researchers, product owners, engineers, and external clients and stakeholders while working at Stanford University, Capital One, and Dataherald.
andukuri@stanford.edu
scandukuri.github.io
CV PDF
@chinmaya_mohan
@scandukuri
Google Scholar

Education

Mar. 2023 —
M.S. in Computer Science
Stanford University, Stanford, CA
Sep. 2019 - Mar. 2023
B.S. in Mathematical and Computational Science
Stanford University, Stanford, CA
GPA: 3.97/4.00

Industry Experience

August 2024 —
Capital One, San Francisco, CA
Software Engineer, Applied Research / LLM Pretraining
Research and implementation of experiments to make language models more effective assistants.
June 2023 — Aug. 2023
Capital One, McLean, VA
Software Engineer Intern, Enterprise Data + Machine Learning
Research and implementation of information retrieval and chat systems to make access to accurate internal information easy and open.
June 2022 — Sep. 2022
Dataherald, McLean, VA
Software Engineer Intern, Data + Product
Research and implementation of data visualizations and version control systems to make access to clean, accurate data easy and open.

Academic Research Experience

Dec. 2023 —
Stanford Artificial Intelligence Laboratory (SAIL), Stanford, CA
Student Researcher, Computation and Cognition Lab
Advisor: Noah Goodman, Jan-Philipp Fränken
Member of the Computation and Cognition Lab at SAIL, where we study the computational basis of natural and artificial intelligence, applying the resulting ideas to education, psychology, sustainability, and other fields.
Mar. 2024 —
Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford, CA
Student Researcher, Digital Economy Lab
Mentor: Alex Pentland, José Ramón Enríquez, Alia Braley
Member of the Digital Economy Lab at HAI, where we pursue a deeper understanding of the digital economy and its impact on the future of work and society.

Publications

STaR-GATE: Teaching Language Models to Ask Clarifying Questions
Chinmaya Andukuri, Jan-Philipp Fränken, Tobias Gerstenberg, Noah Goodman
Conference on Language Modeling (COLM). 2024.
Project PDF Code Model BibTeX

Teaching

Summer 2022
Undergraduate Teaching Assistant
Stanford University, Stanford, CA
Programming Abstractions (CS 106B), Instructor: Jenny Han, Kylie Jue
Graded homework assignments, held weekly office hours, mentored student projects and led discussion sections of ~15 students for Programming Abstractions (CS 106B), an undergraduate course with over 100 students enrolled for the 2022 summer quarter.
Fall 2021, Winter 2022
Undergraduate Teaching Assistant
Stanford University, Stanford, CA
Programming Methodology (CS 106A), Instructor: Nick Parlante
Graded homework assignments, held weekly office hours, and led discussion sections of ~15 students for Programming Methodology (CS 106A), an undergraduate course with over 700 students enrolled.

References

Dr. Noah Goodman, Associate Professor
School of Engineering
Stanford University
https://cocolab.stanford.edu/ndg
Dr. Jan-Philipp Fränken, Postdoctoral Researcher
School of Engineering
Stanford University
https://janphilippfranken.github.io/