Projects

  • Man works at desktop with back turned, behind, mechanical arms operate on computer

    Supporting American Manufacturing

    Reflecting on domestic manufacturing independence, I created a categorized list of companies & manufacturers in the US.

    READ WHY

  • Understanding Classrooms

    Stemming from analyzing attentiveness during online learning, I applied neural networks to deploy an apparent facial emotion recognition webapp.

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  • Enabling Political Engagement

    Under Councilmember Tanaka, I engineer AI language models & data science to generate informative, personalized responses to constituent emails.

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  • How Language Conveys Sentiment

    Deployed a React webapp that classified the text sentiment of user-inputted text samples using text vectorization & TFIDF weighting

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Quick Resources

resume

Github

Technical Skills & Experience

DreamCatchers youth, volunteer tutor

August, 2021 - June, 2022

Volunteered as a tutor at Dreamcatchers Youth, delivering over 50 hours of personalized lessons to students aged 11-13. Covered subjects such as Math, English, History, and Science, while also guiding the development of healthy learning and study habits.

Palo Alto High School

Class of 2024

GPA: Unweighted 4.0, Weighted 4.34

Coursework focused in STEM: advanced math, computer science.

TheCoderSChool, code coach instructor

June, 2022 - Present

Taught Python, Java, and C# to students up to 13 years old for 200+ hours. Additionally, provided instruction in basic data science and machine learning to older students through engaging one-on-one lessons. Made student-specific flexible curriculums.

Office of Palo Alto Councilmember Dr Greg Tanaka, AI Engineer & Data Analyst

July, 2023 - Present

Developed an LLM application with LlamaIndex, LangChain, and more to enhance constituent communications. Applied expertise in vectorization, data corpora creation, scraping tasks, for informative, personalized email responses.

Technical Skills and tools

Coding since 2016

  • Performed prediction and synthesis tasks using machine learning tools PyTorch and TensorFlow to perform prediction and synthesis tasks with GANs and CNNs.

  • Built applications for cancer and heart disease prediction. Built a text sentiment analysis website that unifies data processing, machine learning, front and back end development.

  • Built a site for apparent emotion detection from a user webcam with neural networks (CNN) and a dynamic pipeline for webcam image processing.

  • Experience with LLM tools LlamaIndex, Langchain, open source and OpenAI LLMs; Selenium, Javascript, HTML/CSS, Flask, React, Python