Experience

Noah Gallego’s machine learning and AI engineering experience.

A timeline of the roles, research, and programs that took me from self-taught code to machine learning engineering — most recent first.

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May 2026 – Aug 2026
Machine Learning Engineer

Walt Disney Company · Glendale, CA
- Incoming Summer 2026 on Disney's Ad Platform Team.
Java Spring Boot React Python Scala Jupyter Databricks Datadog MySQL JPA / Hibernate Terraform Jenkins Spinnaker JFrog Gradle Docker GitHub Atlassian Suite Claude
Oct 2025 – Present
AI Engineer

Linean · Bakersfield, CA (on-site) · Contract
- Built a Grant Management System for the California Commission on Teacher Credentialing, supporting $300M in disbursements.
C# ASP.NET Azure Azure DevOps SQL Server Docker Git Linear DocuSign Windows VM Microsoft Suite Claude
May 2025 – Aug 2025
Machine Learning Engineer Intern

Apple · Austin, TX
- Interned with the Artificial Intelligence & Data Platforms (AiDP) team within Apple's IS&T organization.
- Reduced search time by 60% for Apple's Slack users by developing and deploying a production-grade semantic search and summarization bot using FastAPI, OpenSearch, Apple's Foundation Models, and Kubernetes.
- Automated Snowflake sandbox view creation, reducing request fulfillment time from ~2 days to minutes, by building a secure Streamlit platform with role-based access, Apple Auth, and Snowflake API integration.
- Developed and deployed two RESTful APIs integrated with SAP test systems, now powering a Slack-based LLM workflow.
- Designed a proof-of-concept anomaly detection engine across 18,000+ time-series supply chain datasets using LSTM Autoencoders and Isolation Forests, paired with a GenAI Streamlit interface for SQL exploration and anomaly analysis.
FastAPI OpenSearch Kubernetes Streamlit Snowflake REST APIs
Jan 2024 – May 2025
California State University, Bakersfield

3 roles · Bakersfield, CA
Machine Learning Research Assistant
Sep 2024 – May 2025
- Developed ML models with university faculty to predict influenza contraction likelihood from environmental factors such as PM2.5.
- Reduced MAE by 40% over prior research with IGARCH plus LSTM/GRU/CNN hybrid models; work co-authored into a paper.
- Conducted data preprocessing and feature engineering to optimize model performance.
PyTorch TensorFlow Pandas
Web Development Lead & Data Analyst
Jan 2024 – Jul 2024
- Led a team that designed and developed the Career Pathways, California Energy Research Center, AI Hub & Math Dept websites.
- Increased traffic by 27% average across all sites.
React Node.js PHP MySQL
Advanced Web Development Instructional Student Assistant
Jan 2024 – May 2024
- Selected as a first-year student to support 30+ students in debugging backend systems and designing REST APIs for server-side web applications.
- Provided academic support to students needing help with Node.JS, PHP, Shell, JS, and HTML/CSS.
- Facilitated a 5–10% increase in average student grades compared to previous course iterations.
Node.js PHP Shell JavaScript HTML/CSS REST APIs
Jul 2024 – Aug 2024
Data Scientist Intern

Lawrence Livermore National Laboratory · Livermore, CA
- Selected as 1 of 2 students for the two-week Data Science Challenge, applying machine learning (CNNs, RNNs, DNNs) with PyTorch, TensorFlow, and scikit-learn to reconstruct electro-anatomical maps and classify arrhythmias from 12-lead ECG data.
- Achieved 96% accuracy across four deep learning models, increasing sensitivity in detecting arrhythmias; presented results in a poster session.
- Integrated ML workflows to implement 1D Grad-CAM, enhancing model interpretability for domain scientists.
PyTorch TensorFlow scikit-learn Keras Jupyter

Apr 2024 – Aug 2024
Stanford Deep Learning Portal Projects

Stanford University · Remote
- One of fourteen students out of 120 nationwide selected for an intensive seven-week machine-learning program.
- Implemented a neural style transfer model to generate artistic images.
- Created object detection models, classification models, and more, while collaborating with Ph.D. researchers.
Python TensorFlow Keras Jupyter Matplotlib
Jul 2024 – Aug 2024
Beats By Dre Sentiment Analysis

Beats by Dre · Remote externship
- Comprehensive sentiment analysis on consumer reviews as part of the Beats By Dre Externship.
- Web scraping (Oxylabs, BeautifulSoup), EDA, and advanced NLP (Gemini AI API) to interpret customer feedback.
Python TextBlob Gemini BeautifulSoup Pandas Matplotlib NumPy
Jul 2024
Capital One Launchpad Participant

Capital One · McLean, VA
- Found the program through LinkedIn and was selected as 1 of 50 students nationwide for the HACU-partnered Launchpad program.
- Built a Python credit-profitability calculator.
- Won 1st place out of 100+ participants in the capstone case competition.
Python Pandas

Summer 2026
California State University Bakersfield

Bachelor of Science in Computer Science · Minor in Applied Statistics · Bakersfield, CA
- GPA 3.70.
- Dean's List: Fall 2023, Spring 2024.
- Helen Hawk Honors Program.
- CSUB Hispanic Scholarship Fund Recipient.
- SHPE Scholar.
Certifications
- Convolutional Neural Networks
- Neural Networks
- Hyperparameter Tuning
- Data Visualization with Matplotlib and Seaborn
- AWS Cloud Foundations
- AWS ML Associate
Relevant courses
- Programming I–II
- Discrete Math
- Advanced Web Development
- Calculus I–II
- Computer Architecture
- Statistics
- Applied Statistical Computing
- Physics I
- Convolutional Neural Networks
- AWS Cloud Foundations

Languages

AI & ML

Web & APIs

Data

DevOps & cloud