Sergio Paulo

With over 5 years of experience in data and AI, my work spans the technology, financial services, real estate, loyalty, and information security (cloud and network) sectors.

I have experience developing AI-based solutions to optimize operations and improve decision-making. My expertise also includes data modeling, scalable data pipeline design, and AI solution deployment. This includes implementing machine learning models for process automation and integrating data-driven insights into strategic decision-making.

I am currently focused on deepening my knowledge of large language models (LLMs) and generative AI, studying their applications in process optimization and strategic task automation. My goal is to advance in AI Engineering, exploring the intersection of LLMs, MLOps, and software engineering to build scalable and impactful AI solutions.

Skills: Python · Machine Learning · K-means · Linear Regression · Isolation Forest · Anomaly Detection · Large Language Models (LLM) · Retrieval-Augmented Generation (RAG) · LangChain · Deep Learning · Scikit-Learn · TensorFlow · PyTorch · Keras · XGBoost · Forecasting · Neural Networks · Random Forest · Decision Trees · GridSearchCV · NumPy · SciPy · Pandas · SQL (Microsoft SQL Server · PostgreSQL · MySQL · Transact-SQL) · Snowflake Cloud · Google Cloud Platform (GCP) · Amazon EC2 · Microsoft Azure OpenAI Service · Google BigQuery · Data Visualization (Microsoft Power BI · Tableau · Grafana) · Apache Kafka · Apache Airflow · Docker · Docker Compose · Git · GitLab · Apache Cassandra · Jupyter Notebook · Postman API · DBeaver · DataViz

Problem Solving · Analytical Capability · Business Insights · Communication · Scrum · JIRA