Chris Toukmaji
AI Applied Scientist @ SAP
I'm an AI Applied Scientist on the Foundation Models team at SAP.​​​
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I was previously a graduate student at UC Irvine. I researched RL for agentic multi-turn code reasoning and natural language planning for LLM code generation, where I was fortunate to be advised by
Dr. Sameer Singh. Before that, I was at UC Santa Cruz, where I researched transfer learning for unseen low-resource language adaptation in monolingual LLMs, and was fortunate to be advised by Dr. Jeffrey Flanigan.
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My research interests center around cross-modal learning and adaptation in LLMs. More specifically, I aim to answer the following question:
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How can we effectively adapt LLMs to out-of-domain and low-resource data distributions without constraining their hypothesis space?​​​
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I've previously worked on:
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Retrieval-Augmented Generation and LLM Agents at NASA
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Fraud Detection at Capital One
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Embeddings, program synthesis, and LLM infra at Numerade
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Language Classification and Conversational AI at SapientX
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In my free time, I enjoy working out, attending concerts, and
watching sports.
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Please feel to reach out if you would like to chat!
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News:
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2025-07-07: First day as an AI Applied Scientist at SAP!
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2025-06-14: Graduated with an M.S. in Computer Science from UC Irvine!
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2025-06-09: Paper accepted at ACL GEM 2025!
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2024-04-01: Joined UCI NLP where I will be working on LLMs for Code Generation.
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2024-02-06: Paper accepted at AAAI-MAKE 2024: AAAI Spring Symposium Series at Stanford!
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2023-10-19: First day as an ML Intern at Numerade Labs!
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2023-09-28: Started as a graduate student at UC Irvine!
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2023-06-20: First day as an AI Research Intern at NASA!
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2023-06-17: Graduated Cum Laude and Highest Honors with a B.S. in Computer Science and a Minor in Statistics from UC Santa Cruz!
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2022-10-29: Best Paper @ CMSAC '22 in the Student Methodology track!
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2022-10-04: Paper accepted at CMSAC '22. See you soon CMU!
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2022-06-13: First day at Capital One! Excited to work on interesting problems and explore San Francisco



