About Me
My journey as an AI/ML engineer is driven by building reliable LLM systems and GeoAI products that turn complex data into real-world impact.
Connect With Me
My Professional Journey
I'm an AI/ML engineer specializing in LLM systems, GeoAI, and production ML pipelines. I focus on delivering solutions that transform complex data into actionable intelligence for better business decisions.
My experience spans legal, real estate, and enterprise analytics. I build systems that combine LLM reasoning, knowledge graphs, and scalable data pipelines to deliver measurable outcomes.
I'm pursuing a Master's in Applied Artificial Intelligence at Tecnologico de Monterrey while contributing to medical AI research at UT San Antonio as a visiting student researcher.
My approach blends technical depth with product thinking. I prioritize reliability, security, and measurable ROI when deploying AI systems in production.
Career Timeline
AI/ML Engineer at BlackPrint Technologies
Building LLM-powered GeoAI platforms for 2.5M+ urban blocks with real-time inference and interactive maps.
Lead AI/ML Engineer (Consulting) at Law Offices of Manuel Solis
Developed custom LLM agents for legal documents and a meeting intelligence platform with RBAC.
Visiting Student Researcher at UT San Antonio
Medical AI research with knowledge graphs and multi-agent evaluation pipelines.
AI Engineer at PRODENSA (Contract)
Built OCR and Llama 3.3 extraction pipelines with FastAPI + React/Vite for real-time PDF processing.
AI/ML Engineer at STRTGY
Architected multimodal GeoAI and enterprise RAG systems with hybrid retrieval.
Graduated from UC Berkeley
Completed a Bachelor's degree in Data Science, focusing on machine learning and statistical analysis.
Data Scientist at BlackPrint Technologies
Delivered geocoding analytics and pandas/SQL ETL pipelines for property intelligence.
Professional Values
Data-Driven Excellence
Committed to delivering solutions backed by rigorous analysis and empirical evidence, ensuring decisions are based on facts rather than assumptions.
Continuous Learning
Dedicated to staying at the forefront of data science and AI advancements through consistent self-education and formal learning opportunities.
Ethical AI Advocate
Champion responsible AI development that prioritizes fairness, transparency, and human-centered design in all technical implementations.
Business-Technology Bridge
Skilled at translating complex technical concepts into business value and communicating effectively across technical and non-technical teams.
Areas of Professional Interest
Geospatial Machine Learning
- › Location intelligence algorithms
- › Geographic pattern recognition
- › Spatial prediction models
Multimodal AI Systems
- › Vision-language models
- › Cross-modal information retrieval
- › Multimodal embeddings
Responsible AI
- › Fairness in machine learning
- › Explainable AI methods
- › Ethics in data science
Business Intelligence
- › Strategic decision support systems
- › Predictive analytics
- › Interactive data visualization
My Professional Approach
Discovery
Thorough understanding of business context, stakeholder needs, and existing data landscape through collaborative exploration.
- • Stakeholder interviews
- • Data inventory
- • Problem framing
- • Opportunity identification
Solution Design
Systematic approach to architecture and algorithm selection based on problem requirements, data constraints, and business objectives.
- • Architecture planning
- • Method selection
- • Prototype design
- • Feasibility validation
Implementation
Iterative development with continuous testing and refinement to ensure solutions meet both technical and business requirements.
- • Data pipeline construction
- • Model development
- • Validation testing
- • Performance optimization
Integration
Seamless deployment and knowledge transfer ensuring solutions create sustainable business value with measurable impact.
- • Documentation
- • Stakeholder training
- • Systems integration
- • Impact measurement
Interested in Working Together?
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision. Let's connect and explore how we can create data-driven solutions together.