Resume
Work Experience
July 2025 - Present
AI Applied Scientist
• Foundation Models Team
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SAP Labs, Newport Beach, California
October 2023 - May 2025
Machine Learning Intern
Numerade Labs, Remote
• Trained a neural embedding model to classify duplicate user-generated content. Reduced storage costs by 15%
• Optimized code-gen prompting via exemplar selection for image generation; 92% user preference over SOTA baselines
• Developed enterprise-grade API using FastAPI & asyncio to scale to 8 million+ active monthly users
• Created unit & property test suites for LLM outputs, reducing QA time by 90% by automating 100% of model validation
June 2023 - September 2023
AI Research Intern
NASA Glenn Research Center, Remote
• Published first-author paper at AAAI-MAKE 2024; delivered oral presentation at Stanford University to 90-person audience
• Integrated RAG with vector search to provide research papers as context to GPT-4, reducing hallucinations by 71%
• Researched the adaptation of LLMs to assist engineers in biomimicry, & developed the first fully autonomous research assistant agent that generates novel ideas for aerospace system design which has amassed 400+ stars on GitHub
June 2022 - August 2022
Software Engineer Intern
Capital One, San Francisco, California
• Built blockchain tamper-detection & verification tools for transaction integrity, enabling real-time validation at 0.6ms/transaction
• Integrated HMAC-SHA512 algorithm to secure customer financial data, gaining 2x hashing throughput in a microservice platform
• Developed a verification algorithm in Scala for confirming transaction history in full account scanning
• Created unit tests and property tests
June 2020 - March 2022
NLP Software Engineer Intern
SapientX, Santa Cruz, California
• Trained language classifiers using a bidirectional LSTM; supports 6 languages with f1 > 0.96
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• Developed rule-based and AI conversation flows for a digital assistant tasked with summarization and question answering (presented at the 2022 Consumer Electronics Show and the 2020 Bots and Assistants Conference)
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• Implemented a wake word engine using ChatScript to detect when a user is speaking; reduced misfire rate by 20%
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Education
September 2023 - June 2025
Computer Science M.S.
University of California, Irvine
Irvine, California
• Full-Funding with Stipend
• Graduate Student Researcher @ UCI NLP
• Advisor: Sameer Singh
• Emphasis: Artificial Intelligence & Machine Learning
• Emphasis GPA: 4.00
• Overall GPA: 3.90
September 2019 - June 2023
Computer Science B.S.
University of California, Santa Cruz
Santa Cruz, California
• GPA: 3.94
• Highest Honors in Computer Science
• Cum Laude in Baskin School of Engineering
• Dean's Honor List (x 11)
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• Thesis: Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
Advisor: Jeffrey Flanigan
Committee: Ian Lane, Amita Misra
https://arxiv.org/abs/2403.06018
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• Computer Science Major, Statistics Minor
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September 2015 - June 2019
High School Diploma
Arnold O. Beckman High School
Irvine, California
• GPA: 4.57
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• SAT: 1500 (99.3% percentile)
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• Qualifier at the 2019 Berkeley Math Tournament
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• Qualifier at the 2018 Caltech-Harvey Mudd Math Competition
Academic Research
April 2024 - June 2025
Graduate Student Researcher
UC Irvine NLP Group
• Adapted PPO for multi-turn reasoning in LLM agents for code generation. Achieved 4x pass@1 improvement on SWE-Bench Lite
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• Created novel Monte-Carlo Tree Search algorithm with LLM-as-a-judge in program synthesis, cutting inference cost by 90%
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• Advised by Professor Sameer Singh
April 2022 - June 2023
NLP & Deep Learning Researcher
JLab @ UC Santa Cruz
• Fine-tuned LLaMa, GPT-2, Phi-2, Mistral, & MPT for zero-shot domain adaptation & few-shot cross-lingual transfer (ACL)
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• Used training mechanisms such as Accelerate, DeepSpeed (ZeRO), Quantization, Flash-Attention, LoRA, FSDP & DDP
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• Investigated adaptation of monolingual LLMs to unseen low-resource languages with in-context learning and instruction tuning
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• Pre-trained 48 7-billion parameter LLMs totaling over 4.1K hours of multi-device distributed training on a GPU cluster
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• Advised by Professor Jeffrey Flanigan
March 2020 - January 2023
President and Co-Founder
NeuroTechSC
• Project Lead for the subvocalization project that earned 1st place in the United States in the NeuroTechX Competition in November 2020
Click here to see the 'Boolepathy' project
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• Wrote and awarded grant proposals from OpenBCI, UCSC Academic Research Project Fund, and UCSC Student Fee Advisory Committee totaling over $4,000 to fund club research projects
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• Created and presented a curriculum to the general body of 40 attending members
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• Researching and developing a brain-computer interface for sub-vocal phonemic recognition to assist mute individuals
• Advised by Professor Jason Samaha
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• NeuroTechSC is a chapter of the worldwide NeuroTechX Student Club Organization
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August 2021 - August 2022
Machine Learning Researcher
Tech4Good Lab @ UC Santa Cruz
• Implemented Latent Dirichlet Allocation (LDA) (Blei et al., 2003) from paper / concept design to functional code in a development environment
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• Collaborated in the development of a stratified Expectation-Maximization algorithm to alleviate poor quality and low resource crowdsourcing tasks
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• Combined statistical methods and mathematical algorithms to reduce the dimensionality of word embeddings.
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• Advised by Professor David Lee
Skills
Programming Languages
Python
C++
C
Scala
R
SQL
HIP
CUDA
JavaScript
HTML
CSS
MIPS Assembly
MATLAB
Haskell
Packages
TensorFlow
PyTorch
Keras
NLTK
spaCy
sklearn
pandas
numpy
matplotlib
transformers