Professional Overview
I'm a Data Science and Mathematics engineer from Tecnológico de Monterrey with hands-on experience building AI applications using Python, LLMs, RAG pipelines, embeddings, and data analytics. I've worked on applied AI projects with Oracle and industry partners, developing machine learning and retrieval-based solutions.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Cleaned and integrated national-scale infrastructure datasets
- Built feature selection pipeline using statistical methods
- Performed correlation and redundancy analysis with graph models
- Developed data preparation workflows for analytics dashboard
- Collaborated on stakeholder-focused data storytelling
Key Achievements / KPIs
- Integrated datasets covering all 32 Mexican states
- Created automated variable selection workflow
- Designed efficiency metrics for infrastructure analysis
- Supported development of interactive analytics dashboard
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built RAG pipelines for AI-powered career recommendation system
- Generated and managed embeddings for 176 academic programs
- Implemented vector similarity search using cosine similarity
- Designed hybrid recommendation engine with weighted scoring
Key Achievements / KPIs
- Achieved 85.7% top-1 recommendation accuracy
- Processed 176 careers and 185 universities in knowledge base
- Developed real-time recommendation workflow using embeddings
- Contributed to Oracle-sponsored applied AI initiative
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built end-to-end ML pipeline for Airbnb price prediction
- Performed data cleaning and feature engineering on real data
- Developed baseline and ensemble regression models
- Tuned Random Forest models using GridSearchCV
- Evaluated model performance and feature importance
Key Achievements / KPIs
- Improved R² from 0.43 to 0.65
- Engineered features that increased predictive performance
- Identified key price drivers across listings
- Built complete pipeline from raw data to evaluation
Education
Field of Study: Data Science and Mathematics
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
