I am a senior technology executive and Python developer with more than 20 years of experience spanning legacy systems, enterprise infrastructure, data engineering, and modern AI development.
I specialize in Python, SQL, data pipelines, automation, API development, and technical architecture. My work combines strong business logic and financial systems knowledge with practical software engineering.
I currently work as an AI Technical Trainer and Python Code Evaluator, assessing, debugging, and creating high-quality code solutions for large language model training. My focus includes RLHF, supervised fine-tuning, prompt engineering, LLM evaluation, and context engineering.
I have held technology leadership roles including VP of Technology, CTO, Technical Director, founder, and co-founder. I have designed digital infrastructure, led technical strategy, and aligned engineering systems with high-stakes financial and operational objectives.
My data engineering background includes building high-volume Python web scrapers, ETL pipelines, data-cleaning workflows, matching algorithms, financial dashboards, and integrations between legacy ERP systems and modern APIs.
I also build full-stack and desktop applications using FastAPI, Tkinter, Streamlit, Pandas, SQLite, Tailwind CSS, Docker, Linux, and Git-based workflows.
Evaluate and debug Python code generated by large language models, identifying logic errors, edge cases, and implementation issues.
Create gold-standard Python, data analysis, and algorithm solutions for foundational-model training. Design adversarial prompts and contribute to RLHF, supervised fine-tuning, prompt engineering, and LLM capability evaluation.
Co-founded an investment advisory firm with strategic partners from RSM Uruguay.
Architected and designed digital infrastructure for project analysis, due diligence, and investment presentations. Led the technology vision and aligned digital systems with financial, fiduciary, and institutional-investor requirements.
Built high-volume Python web scrapers to aggregate millions of automotive data points.
Developed ETL pipelines for automated cleaning and categorization using ACES/PIES standards. Created custom matching algorithms to connect supplier data with inventory databases.
Built internal financial dashboards using Python and SQL to visualize multi-million-dollar trade flows.
Integrated legacy ERP systems with modern API endpoints and led technical direction for business systems.
Served as the exclusive technical representative for Amiga Inc., handling low-level hardware diagnostics and software integration.
Designed enterprise database solutions supporting large-scale data migration projects.
Python Programming Specialization, Python Programming
Python for Data Science, Data Science
Top 1% rank; 56,000 XP per week.
Microprocessors & Technology Engineering, Technology Engineering
Public Accountant, Financial Systems
Focus on financial systems.
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