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Resume

Work Experience

October 2023 - Present

Machine Learning Intern

 - Working on multimodal LLMs

Numerade Labs

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June 2023 - September 2023

AI Research Intern

NASA Glenn Research Center

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- Published first-author paper at

AAAI-MAKE 2024: Spring Symposium Series at Stanford

- Worked with Large Language Models (LLMs)

- Further Details Available Upon Request

June 2022 - August 2022

Software Engineer Intern

Capital One, San Francisco, California

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- Implemented a blockchain-based tamper detection tool to strengthen security within the ”ledger”, an internal micro-service transaction platform

- Integrated HMAC-SHA512 Hashing Algorithm for protecting customers’ financial data

- Developed a verification algorithm in Scala for confirming transaction history in full account scanning

- Created unit tests and property tests

- Utilized Functional Programming (Scala), Cassandra, AWS, Jenkins, Docker

June 2020 - March 2022

NLP Software Engineer Intern

SapientX, Santa Cruz, California

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- Researched, designed, and implemented text-based language classifiers with TensorFlow and Keras. Text-based uses bidirectional LSTM recurrent neural networks; supports 6 languages with f1 > 0.9. Speech-based uses Fast-Fourier Transforms and Convolutional Neural Networks; supports 4 languages with f1 > 0.8

- Project Lead, with a team of four, for a digital assistant tasked with summarization and question answering (presented at the 2022 Consumer Electronics Show and the 2020 Bots and Assistants Conference). Developed rule-based and ML-based conversation flows

- Implemented a wake word engine using ChatScript to detect when a user is speaking; reduced misfire rate by 20%

Education

September 2023 - Present

Computer Science M.S.

University of California, Irvine

Irvine, California

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- Est. Graduation: June 2025

- Graduate Student Researcher @ UCI NLP working on Reinforcement Learning for LLM Agents

September 2019 - June 2023

Computer Science B.S.

University of California, Santa Cruz

Santa Cruz, California

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- GPA: 3.94

- Highest Honors in Computer Science

- Cum Laude in Baskin School of Engineering

- Dean's Honor List (x 11)

- 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

- Computer Science Major, Statistics Minor

September 2015 - June 2019

High School Diploma

Arnold O. Beckman High School

Irvine, California

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- GPA: 4.57

- SAT: 1500 (99.3% percentile)

- Qualifier at the 2019 Berkeley Math  Tournament

- Qualifier at the 2018 Caltech-Harvey Mudd Math Competition

Extracurricular and Community Involvement

April 2022 - Present

NLP & Deep Learning Researcher

JLab @ UC Santa Cruz

- Fine-tuned LLaMa, GPT-2/3, & XLM-RoBERTa for zero-shot domain adaptation & few-shot cross-lingual transfer

- Used state-of-the-art large-scale distributed training mechanisms such as Accelerate, Deepspeed, Quantization, Low-Rank Adaptation (LoRA), & Fully-Sharded Data Parallel for pre-training multi-billion parameter models on a GPU cluster

- Investigated adaptation of monolingual LLMs to unseen low-resource languages with in-context learning and instruction tuning

- Advised by Professor Jeffrey Flanigan

March 2020 - January 2023

President and Co-Founder

NeuroTechSC

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- 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

- 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

- Created and presented a curriculum to the general body of 20 attending members

- Researching and developing a brain-computer interface for sub-vocal phonemic recognition to assist mute individuals

- Advised by Professor Jason Samaha

- NeuroTechSC is a chapter of the worldwide NeuroTechX Student Club Organization

August 2021 - August 2022

Machine Learning Researcher

Tech4Good Lab @ UC Santa Cruz

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-  Implemented Latent Dirichlet Allocation (LDA) (Blei et al., 2003) from paper / concept design to functional code in a development environment

- Collaborated in the development of a stratified Expectation-Maximization algorithm to alleviate poor quality and low resource crowdsourcing tasks

- Combined statistical methods and mathematical algorithms to reduce the dimensionality of word embeddings.

- Advised by Professor David Lee

December 2019 - June 2021

President and Founder

Competitive Mathematics Team at UC Santa Cruz

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- Developed a detailed curriculum and coached a team for UCSC in the Putnam Competition

- Recruited team members and a board of officers

- Individual Putnam Score: 1

- Competitive Mathematics is an opportunity for mathematically-inclined students to get challenged via studying in-depth problem-solving techniques and participating in competitions

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

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