Tools & Technologies
My comprehensive skillset enables me to design, develop, and deploy end-to-end solutions across AI, full-stack development, and cloud infrastructure.
AI & Machine Learning
- Generative AI: LangChain, GPT-4, Gemini API, RAG Systems
- Machine Learning: Python, Scikit-Learn, Predictive Analytics
- Data Processing: Qdrant, Vector Embeddings
- Forecasting & Causality: regression modeling, feature engineering, experiment design
Full-Stack Development
- Languages: Python, Java, JavaScript, C++
- Backend: Node.js, Express.js
- Frontend: React.js, HTML5, CSS3
- Databases: MySQL, Firebase, SQLite
- Product Practices: UX iteration, stakeholder feedback loops, onboarding & docs
Cloud & DevOps
- Cloud: AWS (S3, Lambda), AWS Certified Cloud Practitioner
- Infrastructure & CI/CD: Progress Chef, Git, GitHub
- Observability: Datadog dashboards, SLIs/SLOs, structured logging, alerting
- Delivery: alpha/beta programs, canary rollouts, feature flags
Engineering Principles
Beyond shipping code, I drive outcomes through sound architecture, observability, and tight feedback loops with users.
Architecture & Quality
- Design reviews focused on scalability, maintainability, and clear ownership boundaries.
- Fail-fast validation, deterministic transforms, and robust retry/backoff on external APIs.
- Test coverage with pytest and CI checks.
Observability & Reliability
- Datadog dashboards tracking SLIs (runtime, memory, API success rates, event counts).
- Structured logs with error taxonomies; proactive alerts to prevent silent failures.
- Cost-aware designs replacing legacy pipelines and reducing operational toil.
Product & Delivery
- Alpha/beta releases to validate usability and de-risk launches.
- Scrum practices (planning, demos, retros) with measurable iteration goals.
- Onboarding guides, runbooks, and short Looms to accelerate adoption.
My Professional Journey
AI & Software Engineer
PMG, Dallas, TX
June 2024 – Present
- Co-created a budget optimization platform combining weather APIs, historical sales data, and regression modeling with LangChain automation—protecting ROI during adverse conditions and improving campaign performance by ~5%.
- Engineered an ad-creation automation system integrating with advertising APIs to generate bulk-upload sheets, saving 3–5 hours per campaign build per team member and enabling rapid scaling of launches.
- Designed and deployed a domain-negation service that programmatically screens unsafe/low-value sites and publishes exclusions via API across 10+ accounts, reducing waste and brand risk.
- Replaced a high-cost legacy pipeline with a scalable, API-driven offline-conversions architecture, cutting monthly costs, reducing technical debt, and achieving full observability with Datadog dashboards.
- Drove engineering efficiency by refactoring internal applications into intuitive, single-click workflows; simplified onboarding and eliminated a silent failure, raising install success by ~80 percentage points.
Security Researcher
CSUF (The Walt Disney Project)
August 2023 – May 2024
- Engineered an AI-driven automation system using an LLM within the GPT-4ALL ecosystem to generate and deploy reliable, audited system configurations, achieving a 35% reduction in management time.
- Presented findings to Disney stakeholders.
Research Assistant
CSUF
May 2023 – July 2023
- Trained a Random Forest model using Python and scikit-learn to classify student retention based on socioeconomic, macroeconomic, and academic factors, achieving 90% classification accuracy.
- Presented research at the National Conference on Undergraduate Research.
Software Developer
CSUF (LA County Project)
July 2022 – February 2023
- Architected and deployed a full-stack parking permit management system for LA County using React.js, Express.js, and SQLite.
- Served over 1,000 users and streamlined the parking permit process.
Connected Portfolio
Explore a selection of projects demonstrating expertise in AI, full-stack development, and scalable solutions. Click on any project to view detailed insights and associated technologies.
Projects
Book Forum
NBA Statistics Platform
System Configuration Management
Core Technologies
React.js
Express.js
MySQL
Firebase
Large Language Models
Python
Progress Chef
Project Details
Click a project to see the details here.
Featured Posts
Student Success Classification Research
Presented data science research on Student Success Classification in Higher Education at the National Conference on Undergraduate Research, engaging with over 4,000 undergraduates and showcasing a 90% accurate ML model.
AI-Driven System Configuration Management
Engineered an AI-driven automation system using an LLM that reduced system configuration management time by 35% and presented findings to Disney stakeholders.
Education
California State University Fullerton
Bachelor of Science, Computer Science (GPA: 4.0)
Cypress College
Associate of Science, Biology (GPA: 3.7/4.0)
Let's Connect
I'm excited about opportunities to collaborate on impactful projects. If you have a question or an idea, please don't hesitate to reach out.