About Erick
Spanish
Native or bilingual
English
Conversational
Experience
- BOSTON SCIENTIFICFRONTENDMEDICALFebruary 2025 - Today (1 year and 6 months)Architected the integration of local/Cloud LLMs (OpenAI/Llama 3) with SCADA platforms via OPC UA / MQTT to drive advanced data analytics and enable predictive maintenance capabilities across manufacturing lines. Engineered and deployed custom Industry 4.0 modules on the Ignition platform using Jython / Python and PostgreSQL / Microsoft SQL , modernizing UI/UX with Ignition Perspective and optimizing operational workflows. Streamlined software delivery by implementing robust CI/CD pipelines in Bitbucket/ Jenkins, utilizing Docker / Kubernetes for containerization to ensure automated testing and reliable zero-downtime deployment of sprint features. Designed scalable data pipelines Apache Kafka / Airflow / Python for real-time ingestion of complex production data, while optimizing LLM token consumption through semantic caching Redis / RAG / LangChain to prevent context window overflow and reduce inference cost
- MERCADO LIBREINNOVATION & ROBOTICS SR ANALYSTE-COMMERCEFebruary 2024 - December 2024 (10 months)Spearheaded process optimization initiatives by deploying robotic systems and conducting deep operational data analysis, successfully driving efficiency improvements and reducing overhead costs. Directed the full lifecycle of automation projects, acting as the bridge between technical execution and business goals to ensure timely delivery and adherence to high-quality standards.
- AUTOLIVTEAM LEADER IN CONTROL & AUTOMATIONAUTOMOBILEMay 2018 - February 2024 (5 years and 9 months)Architected end-to-end ETL pipelines for high-volume industrial data ingestion using Apache Spark, Airflow, and PostgreSQL, seamlessly integrating with Ignition SCADA for real-time monitoring. Engineered deep learning computer vision systems utilizing PyTorch, TensorFlow, and OpenCV (deployed via PyQt), automating gear defect detection and significantly reducing quality inspection bottlenecks. Designed predictive maintenance models for industrial equipment, leveraging historical production data to forecast failures and minimize operational downtime. Integrated computer vision (Cognex, Keyence) and complex automation systems (pneumatic, hydraulic, robotic) into assembly lines, optimizing manufacturing workflows and waste reduction through Continuous Improvement strategies. Led multidisciplinary engineering projects using Agile methodologies (L2L platform), programming Allen-Bradley PLCs and designing custom operator skill-tracking applications to enhance plant floor efficiency.
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Education
- MECHATRONIC ENGINEERUVM2017MECHATRONIC ENGINEER