Experience
The work, in order.
A timeline of the roles, research, and programs that took me from self-taught code to machine learning engineering — most recent first.
Work experience.
Machine learning at Apple and Lawrence Livermore, software engineering at Linean, research and teaching at CSU Bakersfield.
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May 2026 – Aug 2026 Incoming
Machine Learning Engineer
Walt Disney Company · Bakersfield, CA
- Incoming Summer 2026 on Disney's Ad Platform Team!
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Oct 2025 – Present
Software Engineer
Linean · Bakersfield, CA
- Developed a Grant Management System (GMS) for the California Commission on Teacher Credentialing to support administration of over $10 million in state educator stipend funding using ASP.NET.
- Designed and developed Linean.com, increasing traffic by 800%.
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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.
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Aug 2024 – Dec 2024
Machine Learning Research Assistant
CSU Bakersfield · Bakersfield, CA
- Develop ML models with University Faculty to predict influenza contraction likelihood based on environmental factors.
- Achieved 60% lower MAE and 80% fewer parameters using a GRU/CNN hybrid model than prior research.
- Conducted initial data preprocessing and feature engineering to optimize the hybrid model's performance.
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Jul 2024 – Aug 2024
Data Scientist Intern
Lawrence Livermore National Laboratory · Livermore, CA
- Applied advanced machine learning techniques (CNNs, RNNs, DNNs) using PyTorch, TensorFlow, and scikit-learn to reconstruct electro-anatomical maps and classify arrhythmias from 12-lead ECG data.
- Achieved 98% accuracy through four deep learning models, increasing sensitivity in detecting arrhythmias.
- Integrated ML workflows, to implement a GRAD-CAM, enhancing model interpretability for domain scientists.
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Jan 2024 – Present
Web Development Coordinator
California State University Bakersfield · Bakersfield, CA
- 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.
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Jan 2024 – May 2024
Advanced Web Development Teaching Assistant
CSU Bakersfield · Bakersfield, CA
- Mentored 25+ 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.
Projects & programs.
Selective programs and the work I built inside them.
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2023
Stanford Deep Learning Portal Projects
Stanford University
- One of fourteen students out of 120 nationwide who participated in an intensive machine-learning program at Stanford.
- Implemented a neural style transfer model to generate artistic images.
- Created object detection models, classification models, and more, while collaborating with Ph.D. researchers.
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Externship
Beats By Dre Sentiment Analysis
Beats by Dre
- 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.
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Jul 2024
Capital One Launchpad Participant
Capital One
- One of 50 students nationwide selected for a HACU-partnered program.
- Built a Python credit-profitability calculator.
- Won 1st place out of 100+ participants.
Education.
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Summer 2026 Expected
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
Relevant courses
Technical skills.
Languages
AI & ML
Web & APIs
Data
DevOps & cloud
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