Eduardo Rodrigo Grendi Molina

Experience

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  Preh Car Connect GmbH

  Sept 2017 - Jan 2018

  Internship in Testing Field

  ~5 months Internship focused in implementing QA solutions and tools to the team.* Introduced a new type of hardware to the existing platform* Designed a driver for controlling Signal-Analyzers with ease by the QA team* Programmed Windows-native tools for converting typefiles between propietary softwares* Found bugs from the actual platform usedby QA and fixed themTechs: C#, Python, SCPI, Serial Communication

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  AC3E - CODELCO

  Mar 2020 - Mar 2021

  Thesis Student

  Thesis with topic "development of a degradation model for a SAG Mill, aimed to predictive maintenance".* Successfully developed a ML Pipeline for processing big amounts of data* Model was used for further development and implementation in R&D environment* Implemented a novel-method for predictive maintenance, using a not labelled dataset (not supervised learning)Techs: Python, Scikit-learn, UMAP, Seaborn, Predictive Maintenance

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  Advanced Center for Electrical and Electronic Engineering

  Nov 2020 - Jan 2021

  Intern

  Internship aimed to develop a predictive model of finding anomalies in a water-pump system.* Successfully develop a novel-method to estimate when the system is entering fail-state* Used state-of-the-art Machine Learning techniques based on a Data-Driven approach* Designed and implemented a ML-Pipeline whose result achieves ~95% accuracy for new dataTechs: Python. Scikit-Learn, Seaborn, UMAPTrabajo con modelos predictivos de fallas y anomalías en bombas hidráulicas

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  Centro Avanzado de Ingeniería Eléctrica y Electrónica de la USM

  Apr 2021 - Jan 2023

  Research And Development Engineer

  Led Research & Development initiatives focused on Machine Learning applications for heavy industry and mining sectors, bridging the gap between academic research and industrial application.Predictive Maintenance Systems: Developed and deployed robust ML models (Python) for predictive maintenance of industrial ventilation systems and SAG Mills, effectively moving the organization's strategy from reactive to data-driven maintenance. Industrial IoT (IIoT) Architecture: Implemented end-to-end IoT solutions utilizing ESP32 microcontrollers and MQTT protocols for real-time telemetry and geolocation analysis. Successfully integrated embedded systems with cloud platforms for seamless data visualization.Performance Optimization: Refactored data ingestion microservices, achieving a 30% speed improvement by optimizing SQL queries and implementing NoSQL clusters for high-frequency sensor data, ensuring real-time system responsiveness. Project Leadership: Technically led 4 cross-functional projects, managing the full lifecycle from Proof of Concept (POC) to production deployment for mobile and embedded systems. Show less

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  Intellicore

  Jan 2023 - Mar 2024

  Senior developer

  Spearheaded the development of full-stack AI solutions for national-scale infrastructure clients, focusing on reliability, high-volume data processing, and predictive analytics.Big Data & Network Optimization: Led the development of a national telephony network planning platform using Angular and Python. Integrated Splunk for high-velocity big data analytics, enabling the processing of massive datasets to optimize network infrastructure performance. Intelligent Agent Development: Engineered an early-adoption AI agent using LangChain and FastAPI, enabling the system to execute Scikit-Learn models and query SQL/CSV databases autonomously to answer complex business intelligence questions.Advanced ML Deployment: Trained and deployed production Machine Learning models (Random Forest, SVC, TensorFlow) utilizing advanced dimensionality reduction techniques (UMAP, PaCMAP) to process complex, high-dimensional datasets with high accuracy and efficiency.Pipeline Engineering: Designed robust data pipelines to handle high volumes of production data, ensuring system reliability and scalability for critical business operations. Show less

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  Ripley Chile

  Mar 2024 - now

  Software Engineer III

  Leading the architectural design and implementation of enterprise-grade AI agents and secure infrastructure, enabling accelerated development cycles and intelligent automation across the organization.Architected Autonomous AI Agents: Designed and deployed a conversational agent using LangGraph, Python, and Google Vertex AI. Implemented sophisticated RAG (Retrieval-Augmented Generation) pipelines to query internal knowledge bases and APIs, significantly reducing information retrieval time for engineering teams. Enterprise Security & IAM Architecture: Defined the corporate Identity and Access Management (IAM) strategy using Keycloak. Established OAuth 2.0 and RBAC/ABAC standards, ensuring secure access control for microservices—demonstrating a deep understanding of security protocols applicable to industrial environments.Infrastructure as Code (IaC) & IDP: Directed the creation of an Internal Development Platform (IDP) using Backstage, automating cloud infrastructure provisioning on GCP and AWS. This initiative reduced developer onboarding time by 70%, creating a scalable foundation for AI deployment. Stack: Python, LangChain, LangGraph, Vertex AI, GCP, AWS, Keycloak, React, NextJS. Show less