- Designing and developing a versatile library for AI model deployment and management,leveraging cutting-edge technologies to ensure scalability and efficiency;- Orchestrating seamless integration of AI models into production systems, employingindustry-standard techniques to minimize downtime and optimize operational efficiency;- Implementing MLOps practices to establish robust monitoring and governance mechanisms,including automated workflows and alerting systems for continuous model performancemonitoring;- Incorporating utilities within the library to enhance productivity for data scientists, coveringtasks such as data preprocessing, feature engineering, and model evaluation.

- Conducting data analysis and cleaning to ensure data quality and integrity;- Developing and evaluating state-of-the-art Machine Learning and Deep Learning modelsfor various Industry 4.0 applications, including computer vision, virtual metrology, outliersand anomaly detection (static and time series), and time series forecasting.- Managing multiple projects directly with clients, ensuring alignment with their goals andadapting solutions to meet specific needs

Research and development of a real-time object-detection environment through the use of neural networks.Keywords: Neural Networks, Object Detection, Camera Calibration, Python, Keras, C++.