Isaac Martins ^{Top-Executive}

Machine Learning Engineer with 3+ years of experience designing and deploying end-to-end AI and data solutions for industrial, IoT, and R&D environments.My experience spans the entire machine learning lifecycle, from data acquisition, engineering, and model development to production deployment, monitoring, and optimization. I have built scalable AI systems that integrate machine learning, computer vision, backend services, and cloud technologies to solve real-world engineering challenges.I enjoy working at the intersection of Data Science, Machine Learning Engineering, and Data Engineering, transforming complex data into reliable, production-ready intelligent systems.Core Expertise :• Machine Learning & Deep Learning• Data Science & Predictive Analytics• Computer Vision & Edge AI (Jetson Nano, Raspberry Pi)• MLOps & Model Deployment• Data Engineering & ETL/ELT Pipelines• Time Series Forecasting & Predictive Maintenance• Backend Development (Python, C++, .NET, SQL)• Industrial AI, IoT & Sensor Data Processing• Distributed Systems & Cloud Architectures• Real-Time Data Processing & Performance OptimizationTechnologies :Python • Scikit-learn • TensorFlow • PyTorch • OpenCV • Pandas • NumPy • FastAPI • MLflow • Docker • Kubernetes • DVC • Airflow • Apache Spark • AWS • PostgreSQL • MongoDB • Linux • GitI'm passionate about building intelligent systems that bridge Data Science and Software Engineering, delivering scalable AI solutions with measurable business impact. My interests include Computer Vision, Industrial AI, Physical AI, MLOps, Predictive Maintenance, Time Series, and next-generation AI systems operating in real-world environments.📧 Contact: isaac.martins230@gmail.com💻 GitHub: github.com/IsaacMartins12