About Daniel
I help companies automate financial document workflows and eliminate manual validation errors.
I design deterministic data automation systems for invoice processing, VAT verification, and financial reconciliation. My focus is on building structured, explainable solutions that detect inconsistencies, validate totals against line items, and generate audit-ready reports.
With a background in mathematics and experience in regulated financial environments, I prioritize accuracy, traceability, and data integrity over black-box automation.
Typical projects include:
• Invoice extraction and normalization (PDF to structured data)
• VAT and total reconciliation logic
• Cross-field financial validation checks
• ETL workflows for recurring financial datasets
• Automated Excel or database reporting
Tech stack: Python, SQL, PostgreSQL, structured ETL pipelines.
I work remotely across Europe and deliver reliable, production-ready automation systems tailored to your workflow.
Spanish
Native or bilingual
English
Fluent
Portuguese
Conversational
Remote only
Primarily works remotely
Experience
- Micro1AI Output Analyst / Prompt Evaluation – Micro1DIGITAL AND ITAugust 2025 - November 2025 (3 months)Porto, Portugaland implemented a modular document processing architecture and semi-structured PDFs in workflows.• • Built deterministic ingestion, normalization, and validation pipelines with explicit schema enforcement and consistency checks.• • Translated operational and regulatory requirements into machine-verifiable data quality rules.• • Evaluated LLM-generated outputs in regulated and data-sensitive environments.• • Designed structured prompting strategies to expose model failure modes and edge cases.• • Standardized review criteria and validation rules to improve cross-reviewer consistency.• • Contributed to improving reliability of AI-assisted evaluation workflows.
- ScaleAI Data Analyst (Evaluation Optimization)January 2024 - July 2025 (1 year and 6 months)• • Supported large-scale AI evaluation initiatives by analyzing model outputs and annotating complex data scenarios.• • Identified recurring error patterns in AI-assisted workflows using statistical reasoning.• • Documented decision logic and evaluation guidelines to improve onboarding and process clarity.
- HipogesBack Office – Operational Data Support (Regulated Documentation)July 2023 - July 2024 (1 year)Porto, Portugal• • Validated high-volume legal and financial documentation under strict regulatory require ments.• • Performed structured cross-field consistency checks and anomaly detection.• • Contributed to partial automation initiatives by formalizing validation logic and review criteria.
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Education
- Master in Information TechnologiesUniversity of Guadalajara2020Master in Information Technologies
- Master in Numerical Techniques for FinanceUniversity of Nottingham2015Master in Numerical Techniques for Finance