SDE Intern

Amazon

• Built multi-agent pipeline to detect anomalous tax rates in invoices
• Developed tax-line extraction agent in SageMaker
• Used Bedrock + RAG to retrieve and cross-verify state tax data

• Tech: Python • Pandas • NumPy • Jupyter • Data Science • Machine Learning
• Link: Amazon
• Date: Summer 2025

Data 100 Tutor

UC Berkeley CDSS

• Lead discussion sections, reinforcing core concepts in data science, including statistical inference, predictive modeling, and data visualization
• Design and develop course materials, including problem sets and exam questions, to enhance student learning and engagement
• Grade assignments and provide constructive feedback to help students improve their data science skills
• Assist students in office hours, guiding them through complex topics such as machine learning algorithms, regression, and clustering

• Tech: Python • Pandas • NumPy • Jupyter • Data Science • Machine Learning
• Link: Data 100
• Date: Spring 2025

Computational Neuroscience Researcher

UCSF

• Conducted research at UCSF to optimize seizure detection models for personalized clinical care
• Analyzed MEG/EEG data to identify pre-seizure biomarkers using wavelet analysis and statistical testing
• Collaborated with a team of neurologists to improve clinical decision-making for epilepsy treatments

• Tech: Python • NumPy • MEG/EEG Analysis Tools
• Link: UCSF
• Date: Fall 2024

Data Science Consultant

Universal Health Services

• Developed time-series financial forecasting models using historical data to predict monthly financial changes
• Trained ARIMA and LSTM models to forecast financial metrics three months in advance with <20% error
• Performed exploratory data analysis, handled missing values, and optimized model performance
• Presented findings to VPs and CFO to inform strategic financial planning

• Tech: Python • scikit-learn • TensorFlow
• Link: Universal Health Services
• Date: Summer 2024

Data Science Researcher

UC Berkeley College of Letters and Science

• Created a logistic regression model with 94.4% accuracy for predicting alumni donation likelihood
• Optimized an LSTM model achieving 86.4% accuracy for donation amount forecasting
• Authored a paper on predictive modeling in alumni donations, presented at Berkeley’s Data Science Symposium
• Tech: Python • TensorFlow • Tableau
• Link: Berkeley Letters & Science
• Date: Dec 2023 – May 2024
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DeCal Director

UC Berkeley Data Science Society

• Facilitate Data 198: Intro to Real World Data Science DeCal at UC Berkeley leading 11 TAs/Tutors and 50+ students
• Designed and led interactive sessions on data analysis, visualization, and real-world applications
• Mentored students on hands-on projects using Python, Pandas, and Jupyter Notebook
• Previously served as TA (Fall 2024) and tutor (Spring 2024)

• Tech: Python • Pandas • Jupyter Notebook
• Link: DSS DeCal
• Date: Spring 2024 - Present

Undergraduate Researcher

Berkeley AI Research (BAIR) — Speech Group

• Designing a speech world model grounded in cognitive science, representing auditory decoding and theory of mind with modular neural networks.
• Building multi-task speech datasets from open-source corpora via LLM-assisted parsing for semi-supervised, curriculum-based training.

• Tech: PyTorch • TensorFlow • Python
• Link: BAIR
• Date: 2025 – Present

Started Undergraduate Studies

UC Berkeley

• Enrolled in the B.A. program for Computer Science and Cognitive Science
• Began exploring interests in AI, neuroscience, and data science through coursework
• Joined student organizations and clubs to engage with Berkeley’s vibrant academic community

• Link: UC Berkeley
• Date: Fall 2023

Computational Neuroscience Researcher

UCSF

• Conducted research at UCSF to optimize seizure detection models for personalized clinical care
• Analyzed MEG/EEG data to identify pre-seizure biomarkers using wavelet analysis and statistical testing
• Collaborated with a team of neurologists to improve clinical decision-making for epilepsy treatments

• Tech: Matlab • Python • MEG/EEG Analysis Tools
• Link: UCSF
• Date: Fall 2024

Computational Neuroscience Researcher

UCSF

• Conducted research at UCSF to optimize seizure detection models for personalized clinical care
• Analyzed MEG/EEG data to identify pre-seizure biomarkers using wavelet analysis and statistical testing
• Collaborated with a team of neurologists to improve clinical decision-making for epilepsy treatments

• Tech: Matlab • Python • MEG/EEG Analysis Tools
• Link: UCSF
• Date: Fall 2024

Data Science Consultant

Universal Health Services

• Developed financial forecasting models using historical data to predict monthly financial changes
• Trained ARIMA and LSTM models to forecast financial metrics three months in advance with <20% error
• Performed exploratory data analysis, handled missing values, and optimized model performance
• Presented findings to VPs and CFO to inform strategic financial planning

• Tech: Python • scikit-learn • TensorFlow
• Link: Universal Health Services
• Date: Summer 2024

Data Science Researcher

UC Berkeley College of Letters and Science

• Created a logistic regression model with 94.4% accuracy for predicting alumni donation likelihood
• Optimized an LSTM model achieving 86.4% accuracy for donation amount forecasting
• Authored a paper on predictive modeling in alumni donations, presented at Berkeley’s Data Science Symposium

• Tech: Python • TensorFlow • Tableau
• Link: Berkeley Letters & Science
• Date: Spring 2024

Data 198 Director

UC Berkeley Data Science Society

• Facilitate Data 198: Intro to Real World Data Science DeCal at UC Berkeley leading 11 TAs/Tutors and 50+ students
• Designed and led interactive sessions on data analysis, visualization, and real-world applications
• Mentored students on hands-on projects using Python, Pandas, and Jupyter Notebook
• Previously served as tutor and TA

• Tech: Python • Pandas • Jupyter Notebook
• Link: DSS Decal
• Date: Spring 2024

Full-Stack Developer

UC Berkeley Chinese Student Association

• Developed and deployed a Django web app for member management and event registration
• Implemented Google OAuth 2.0 for secure login and authentication
• Integrated MySQL database for efficient data storage and retrieval

• Tech: Django • MySQL • JavaScript
• Link: CSA
• Date: Fall 2023

Started Undergraduate Studies

UC Berkeley

• Enrolled in the B.A. program for Computer Science and Cognitive Science
• Began exploring interests in AI, neuroscience, and data science through coursework
• Joined student organizations and clubs to engage with Berkeley’s vibrant academic community

• Link: UC Berkeley
• Date: Fall 2023