Este es mi perfilContactar via CazVidDaniel
ITOT Engineer
Contacto
Competencias
Experiencia demostrada en Python.
Experiencia demostrada en SQL.
Experiencia demostrada en PostgreSQL.
Experiencia demostrada en TimescaleDB.
Experiencia demostrada en ETL.
Educacion
Idiomas
Resumen
ITOT Engineer buscando nuevas oportunidades
Experiencia
IoT Infrastructure Architect
Architected and implemented the IoT infrastructure for Antioquia's monitoring and alert system (SAMA), standardizing MQTT communication and data models across ~200 field stations from multiple hardware vendors, improving system governance and interoperability.. Redesigned telemetry ingestion and station messaging flows, building modular PostgreSQL/TimescaleDB pipelines processing 4.5M+ IoT records per month while improving infrastructure observability and maintainability.. Led the migration from legacy to modern IoT infrastructure through a modular hybrid architecture, improving system resilience while integrating heterogeneous devices and maintaining operational continuity.
IoT Systems Architect
Architected and developed 7 generations of end-to-end IoT devices for precision agriculture, integrating custom PCBs, ESP32 firmware, environmental and soil sensors to monitor 14 agricultural variables across 3 customer pilots and field-deployed devices.. Standardized hardware and firmware into a modular architecture supporting 2 environmental and 3 soil sensor configurations from a shared PCB and firmware codebase, simplifying development, configuration, and deployment across multiple product variants.. Engineered autonomous field operation through low-power firmware, solar charging, remote diagnostics, and OTA updates, achieving 5+ years of projected continuous operation under normal solar conditions and 7+ days of battery-only autonomy.
AI Solutions Engineer
Led technical discovery with customers to understand business processes and requirements, translating them into solution architectures and coordinating implementation from initial scope through deployment.. Designed and deployed an AI-powered customer service solution for a fintech client, automating 400+ conversations per month and eliminating an estimated 33+ hours of manual handling while expanding the internal team's service capacity.. Architected end-to-end AI solutions integrating LLMs, RAG, OCR, conversational agents, communication channels, and enterprise data sources to automate information-intensive business workflows.