About Daniel
Ingeniero mecatrónico. 𝗗𝗶𝘀𝗲𝗻̃𝗼 𝘀𝗶𝘀𝘁𝗲𝗺𝗮𝘀 𝗮𝘂𝘁𝗼́𝗻𝗼𝗺𝗼𝘀, 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗱𝗲 𝗜𝗔 𝘆 𝗮𝗿𝗾𝘂𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝘀 𝗜𝗼𝗧 𝗾𝘂𝗲 𝗳𝘂𝗻𝗰𝗶𝗼𝗻𝗮𝗻 𝘀𝗼𝗹𝗼𝘀.
Mi base de ingeniería es adyacente a la aeroespacial: exoesqueleto de asistencia para astronautas probado en la Mars Desert Research Station, Mars Rover teleoperado con brazo de 6-DOF bajo protocolos AS9102, instrumentación científica para un radiotelescopio. Ahí es donde se construyeron mis estándares. De ahí: sistemas de control predictivo que combinan IA, hardware, software y pipelines de datos en vehículos acuáticos autónomos, infraestructura industrial y monitoreo en tiempo real a escala — 𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝘆𝗼 𝘁𝗲𝗰𝗻𝗼𝗹𝗼𝗴𝗶́𝗮 𝗾𝘂𝗲 𝗰𝗼𝗻𝘃𝗶𝗲𝗿𝘁𝗲 𝗱𝗮𝘁𝗼𝘀 𝗳𝗶́𝘀𝗶𝗰𝗼𝘀 𝗲𝗻 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝗲𝘀 𝗱𝗲 𝗻𝗲𝗴𝗼𝗰𝗶𝗼. Lidero los proyectos de ingeniería detrás de ellos, de principio a fin.
Fellow del Young Leaders of the Americas Initiative del Gobierno de los EE. UU. Global Competitiveness Leadership — Universidad de Georgetown. NASA Galactic Problem Solver. Seleccionado por el ICEX para Rising Up in Spain.
Spanish
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- Strategic Power SalesData & Automation EngineerREAL ESTATEJuly 2025 - October 2025 (3 months)Spain• Delivered in 3 months the full process optimization for 9 business lines, coordinating stakeholders across 3 departments and aligning operational structure with strategic requirements.• Designed and implemented automated ETL pipelines in Python for data processing and transformation, applying data quality best practices, traceability and Git versioning.• Built an LLM-based automatic categorization system with RAG architecture to structure and query operational manuals.• System adopted by executive management as core internal operational tool.
- Besco PerúAutomation & Artificial Intelligence EngineerCIVIL ENGINEERINGJanuary 2023 - January 2025 (2 years)Lima, Peru• Led Water AI-driven project managing kickoff, milestone tracking and formal closure, coordinating cross-functional team with continuous alignment to operational and financial KPIs.• Implemented LSTM anomaly detection on hydraulic sensor time-series within the Water AI-driven project, enabling early failure pattern recognition before physical thresholds breach, contributing to prevention of 128 critical incidents across a 40,000-unit complex.• Designed complex ETL pipelines in Python on GCP and AWS for ingestion, transformation and modeling of large-scale infrastructure data.• Developed analytical models with dbt using advanced SQL on high volume data in Snowflake, applying CI/CD and Git versioning for production deployment.• Designed and delivered AI technical workshops for 25+ professionals — 4.99/5 satisfaction score.
- BescoIoT & Applied AI Installations CoordinatorCIVIL ENGINEERINGJanuary 2022 - January 2023 (1 year)Lima, Peru• Managed full installation lifecycle coordinating technology vendors, test verification and deadline compliance across 40 buildings• Designed IoT architecture with LoRa network, developing complete ETL pipeline to AWS with data modeling and advanced SQL for predictive analytics• Implemented adaptive control system in Python with real-time predictive analytics for pump automation, reducing pressure incidents from 5 to 0 per month
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Education
- Associate's degree, Global Competitiveness Leadership ProgramGeorgetown University McDonough School of Business2023Associate's degree, Global Competitiveness Leadership Program
- MechatronicsPontificia Universidad Católica del PerúMechatronics