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About

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👋 Hello! I'm James.

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👋 I am an undergraduate student at UC Berkeley pursuing Bachelor’s degrees in Computer Science and Data Science.

💻 My technical interests lie in software engineering, generative AI, and CS education tools. I am passionate about leveraging technology across healthcare, biotechnology, and education.

🎙️ Would love to chat! See the Contact tab for my email and social media profiles.

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Use ↑↓←→ or WASD to move. Eat the food, avoid the walls and yourself! You can also move cursor over the topography to warp the terrain.

Click or press Space to start

Score: 0

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Experience

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Oracle

Sep 2025 — Present

Software Engineer Consultant

Contract

Engineering an AI tutor built on Oracle Cloud Infrastructure to promote active learning for 60+ data science students.

Build an AI tutor web app on Oracle Cloud with an interactive chatbot that generates MCQs to enhance learning
Design a RAG model on Oracle Database using JSON–relational duality, vector data types, and hybrid search
Engineer data pipelines, leaderboards, and dashboards to track user interactions and analyze performance

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UC Berkeley Data 100

Jun 2024 — Present

Lead Teaching Assistant

Part-Time

Teaching 1200+ students in the UC Berkeley's upper-division data science course, Data 100: Principles and Techniques of Data Science.

Teach 1200+ students in the upper-division course Data 100, covering data processing, statistical/probabilistic foundations, exploratory data analysis/visualization, feature engineering, dimensionality reduction, predictive modeling, and optimization
Streamline course website navigation by developing in Jekyll and automating deployment workflows through GitHub Pages
Lead discussion sections to 40+ students, host office hours, debug DataHub issues, and maintain general course infrastructure

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Amgen

Jun 2025 — Aug 2025

Data Science Intern

Internship

Created a text-to-SQL application to democratize access to marketing analytics for Amgen's Commercial Data & Analytics department.

Achieve 87%+ accuracy in text-to-SQL operations by building generative AI and testing frameworks in Databricks
Optimize Databricks SQL connection and executions by 86%+ in the worst case, reducing operations to 0–80 seconds
Deliver a Streamlit application optimized with caching to save 500+ hours and automate 60,000+ queries every year
Leverage large language models (LLMs) to automate campaign analytics across 27 brands using distributed AI agents

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AmigoAI

Dec 2024 — May 2025

Software Engineer Intern

Internship

Led independent projects in computer vision/optical character recognition (OCR), webscraping, and automation testing.

Devise and build an automated end-to-end testing framework using Playwright to detect regressions and improve test coverage
Engineer a robust and dynamic web scraper that mimics real-user behavior by emulating user agents, preloading consent cookies, and bypassing JavaScript-rendered content through direct HTML data extraction using Scrapy, BeautifulSoup, and Selenium
Scrape 1000+ data entries into JSON files for fine-tuning a custom-built LLM for standardized exam question generation
Construct a cross-format file processing workflow to extract text from files using PyMuPDF/Fitz and Pix2Text
Architect a computer vision pipeline that tracks real-time user progress to contextualize query processes in a fine-tuned LLM

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UC Berkeley Data Science Modules

Jan 2025 — May 2025

Software Developer

Part-Time

Built educational data science modules through UC Berkeley's Data Science Modules Team for El Camino College courses of varying domains.

Partner with four El Camino College professors to create educational data science modules teaching probability distributions, data visualization, classification, statistical modeling, and business analytics under the Data Science Modules team
Introduce 500+ students every semester to fundamental programming practices, statistics, and data-driven decision-making

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UCSF Abbasi Lab

Feb 2025 — Apr 2025

Research Assistant

Apprenticeship

Evaluated large language model (LLM) robustness via conversational red-teaming and multi-turn jailbreaking techniques.

Evaluate large language models (LLMs) robustness via red-teaming and multi-turn jailbreaking techniques under Abbasi Lab
Build an agentic LangChain framework to automate multi-turn LLM conversations and LLM-as-a-judge evaluations with GPT-4o
Customize and apply 10+ prompting goals and target strings from the MedSafetyBench dataset for attacker and target LLMs

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Universal Health Services

May 2024 — Aug 2024

Data Science Consultant

Contract

Constructed AutoRegressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models for financial forecasting.

Achieved <18.5% and <25% average error in financial forecasting by deploying AutoRegressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) neural network models, optimized with extensive EDA and fine-tuning
Delivered Pyramid Analytics integration, Python script, and walkthrough video; leveraged mentorship from C-Suite executives

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UC Berkeley L&S 22

Feb 2024 — Aug 2024

Software Developer

Part-Time

Developed data science modules on Simpson's Paradox for UC Berkeley's L&S 22: Sense and Sensibility and Science.

Design and construct two data science modules deployed through Jupyter for the undergraduate interdisciplinary course LS 22
Introduce 500+ students every semester to fundamental programming practices, statistics, and data-driven decision-making

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UW School of Pharmacy

Jan 2024 — Apr 2024

Research Assistant

Apprenticeship

Leveraged Natural Language Processing (NLP) to carry out topic modeling and sentiment analysis on textual data.

Built and optimized a latent Dirichlet allocation model to cluster textual data, resulting in a coherence score of ~0.684
Leveraged natural language processing tools to enable complex analysis of textual data beyond human observation

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Contact

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primary_contacts = { "calendly": "calendly.com/jegeronimo/chat", "email": "jegeronimo@berkeley.edu" }
display(primary_contacts)

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Calendly

Let's Chat

jegeronimo@berkeley.edu

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social_profiles = { "linkedin": "@james-geronimo", "github": "@jegeronimo" }
display(social_profiles)

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@james-geronimo

GitHub

@jegeronimo

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resume = { "name": "James Geronimo", "format": "PDF", "status": "Available" }
display(resume)

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Resume

James Geronimo