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Noah Cruz

@noahcruz

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Applied AI Engineer focused on LLMs, RAG, and AI agents—building practical, evaluated machine learning systems.

United States

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What I'm looking for

I’m looking for a role where I can build and evaluate LLM/RAG and AI-agent systems, prototype end-to-end with Python and web technologies, and improve quality through rigorous iterative testing.

I’m an Applied AI Engineer specializing in LLMs, RAG, AI Agents, and machine learning systems. I build and test AI prototypes end-to-end, with a strong focus on model evaluation, prompt engineering, and retrieval performance.

As an AI Development Researcher (06/2026 – Present, Independent), I develop machine learning and AI agent systems using Python, PyTorch, and TensorFlow, and I document findings while benchmarking results. Through iterative testing, I’ve achieved approximately 5–10% improvements in response quality and improved simulated task completion efficiency by approximately 10–15%.

I also build retrieval-augmented generation (RAG) prototypes using embedding models and vector databases, reducing information retrieval latency by approximately 15–20%. I’ve created AI-powered web application prototypes with TypeScript and Next.js, integrating machine learning APIs to demonstrate practical real-world AI application scenarios.

Experience

Work history, roles, and key accomplishments

Current

AI Development Researcher

Current

Independent

Jun 2026 - Present (2 months)

Developed machine learning and AI agent prototypes using Python, PyTorch, and TensorFlow, including prompt optimization and model evaluation with performance benchmarking. Built RAG workflows with embedding models and vector databases, and created AI-powered web app prototypes using TypeScript and Next.js.

Python PyTorch TensorFlow Prompt Engineering prompt optimization Model Evaluation Benchmarking AI Agents Embeddings Vector Databases Vector Search TypeScript Next.js REST APIs

Education

Degrees, certifications, and relevant coursework

Palawan State University

Master of Arts in Education, Mathematics Education

2024 - 2026

Grade: GPA: 3.0 (GWA 2.0)

Activities and societies: Master’s research project under faculty supervision; coursework included Advanced Research Methods, Advanced Statistics, Mathematical Analysis, Ordinary Differential Equations, and Comprehensive Examination.

Master of Arts in Education with a focus on Mathematics. Completed coursework in advanced research and statistics and undertook a faculty-supervised master’s research project.

Palawan State University

Bachelor of Secondary Education, Mathematics Education

2020 - 2024

Grade: GPA: 3.25 (GWA 1.75)

Activities and societies: Completed mathematics coursework including Calculus, Linear Algebra, Statistics and Probability, Abstract/Number Theory, plus Mathematics Teaching Methods.

Bachelor of Secondary Education with a focus on Mathematics. Completed undergraduate mathematics coursework emphasizing analytical problem-solving and mathematics teaching foundations.