I'm Lucas Mendes Barbosa, a Data Scientist specializing in LLMs, NLP, and OCR.

Specialization focused on machine learning (ML), deep learning (DL), and MLOps, covering supervised and unsupervised learning, neural networks, recommendation systems, computer vision, and generative AI (LLMs, GANs, BERT). Gained practical experience with Python, API development (Flask, FastAPI), and big data tools (Databricks, Spark, Kafka) for data processing and streaming. Explored cloud platforms (AWS, Azure) and data architectures such as data lakes and warehouses. Skilled in designing, training, and deploying ML and DL models using containerization (Docker, Kubernetes) and CI/CD workflows, with a focus on monitoring, versioning, and production security best practices.

Advanced from intern to Associate Data Analyst. Built scalable data pipelines (Airflow, PySpark), recommendation systems with ML/DL, and dashboards (Looker Studio, Power BI). Led data quality initiatives, mentored team members, and contributed to a strong data-driven culture. Skilled in API development and cloud platforms (AWS, GCP).

Specialization focused on machine learning, deep learning, and MLOps. Topics include supervised and unsupervised learning, recommendation systems, computer vision, and generative AI (LLMs, GANs, BERT). Gained hands-on experience with Python, APIs, and big data tools such as Databricks, Spark, and Kafka. Also explored cloud platforms and CI/CD workflows with Docker, deployment strategies, monitoring, and model security best practices.

Strong academic foundation in software development, data structures, algorithms, databases, and computer systems. Engaged in scientific research on natural language processing (NLP) and music emotion recognition using real-world datasets. Awarded Honorable Mention for research presented at national symposiums. Developed projects integrating AI, NLP, and human-computer interaction to deliver innovative solutions.