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Brayan Valencia

@brayanvalencia

Systems and Computing Engineer with hands-on experience in AI, ML, LLM evaluation, prompt engineering, Python, and RAG systems.

Colombia

Message

What I'm looking for

I’m seeking opportunities where I can contribute to building data-driven solutions—AI systems, machine learning solutions, and LLM-powered applications—by working on data understanding, system design, and improving how models generate and retrieve information.

I am a Systems and Computing Engineer focused on Artificial Intelligence, Machine Learning, and data-driven systems. I enjoy building AI applications with Python, combining data analysis and LLM workflows to improve how models generate and retrieve information.

In my recent roles as an AI Trainer (Revelo, remote), I improved Artificial Intelligence and Machine Learning model performance through Prompt Engineering, Data Annotation, and iterative feedback loops. I also enhanced Large Language Models (LLMs) code generation with Python, applied AI agent evaluation rubrics (Terminal-Bench 2.0, Harbor), and used A/B Testing to optimize response quality and reliability.

Earlier, I developed end-to-end Machine Learning pipelines using the CRISP-DM framework, building and optimizing models with Scikit-learn, TensorFlow, and Keras, and communicating results through Data Visualization with Pandas, NumPy, Matplotlib, and Seaborn. I’ve also worked on personal RAG systems and a data analytics platform deployed on Microsoft Azure with a multi-layer architecture for scalable processing and reporting—experiences that strengthened how I design systems around data and retrieval.

Experience

Work history, roles, and key accomplishments

Current

AI Trainer

Current

Revelo

Mar 2026 - Present (3 months)

Improved AI/ML model performance using prompt engineering, data annotation, and iterative feedback loops. Enhanced LLM code generation quality and used structured evaluation rubrics (Terminal-Bench 2.0, Harbor) plus A/B testing to optimize reliability and performance.

Prompt Engineering Data Annotation LLM AI Agent Evaluation A B Testing Python Debugging Harbor

Current

Freelance Math Teacher

Current

Self employed

Oct 2021 - Present (4 years 8 months)

Provided tailored math tutoring to 100+ students in grades 3–11 in Spanish, delivering instruction across arithmetic, algebra, geometry, trigonometry, statistics, precalculus, calculus, and linear algebra. Improved student performance through goal-oriented preparation and feedback, doubling overall test scores and raising student confidence.

Mathematics Tutoring Algebra Calculus Statistics Linear Algebra Problem Solving Student Assessment Curriculum Planning

AI Trainer

Alignerr

Jan 2026 - May 2026 (4 months)

Refined YAML-based agent logic to improve LLM alignment with human intent using prompt engineering. Evaluated outputs with structured A/B and A/B/N testing and rubric-based assessment for accuracy, coherence, and relevance in English-language environments.

YAML Prompt Engineering LLM Model Evaluation A B Testing Python Labelbox Artificial Intelligence

Freelance Logic Teacher

Self Employed

May 2025 - Feb 2026 (9 months)

Taught beginner logic programming to a student in Spanish through simplified, real-life connected explanations of conditionals, loops, and abstraction. Increased engagement and outcomes by improving code quality (50%), engagement (100%), and resit exam grades (100%) using hands-on exercises, live code reviews, and iterative feedback.

Loops Re Abstraction Debugging Code Review Code Exercises Feynman Technique Spanish Instruction

AI Trainer

Revelo

Dec 2025 - Jan 2026 (1 month)

Improved AI/ML model performance using prompt engineering, data annotation, and iterative feedback loops. Enhanced LLM code generation with debugging support and reproducible Docker-based execution, and used A/B testing to optimize prompt-driven response quality and reliability.

Prompt Engineering Data Annotation LLM Python Debugging Docker A B Testing AI ML Evaluation

Machine Learning Intern

Unified Mentor Private Limited

Sep 2025 - Dec 2025 (3 months)

Built end-to-end machine learning pipelines using CRISP-DM, including data preprocessing, feature engineering, model training, and evaluation. Developed and optimized ML/DL models with scikit-learn, TensorFlow, and Keras, supported analysis and visualization with Pandas/NumPy/Matplotlib/Seaborn, and translated results into actionable English business insights.