AI Specialist | Biometric Solutions Developer | MLOps Enthusiast

🚀 Passionate about building cutting-edge solutions in AI.
🎓 Ph.D. in Artificial Intelligence, M.Sc. in Software Engineering.
💻 R&D Tech Lead at Vsoft, leading biometric systems innovations.

I'm a tech enthusiast with a strong background in AI, biometrics, and MLOps. I thrive on creating innovative solutions that push the boundaries of technology. When I'm not coding, I enjoy reading literature, listening to music, and spending time with my family.

• Spearheaded the development of a facial recognition system adopted by 10+ organizations, enhancing identity verification accuracy by 40%.
• Introduced scalable MLOps practices at Vsoft, reducing deployment time by 50% and lowering costs by 25%.
• Published 5+ research papers in prestigious AI and biometrics journals.

Here are the key technologies I work with.

• Large Language Models: ChatGPT, Gemini, Ollama, LangChain, LangSmith, ReAct, Prompt Engineering
• ML Frameworks: TensorFlow, PyTorch, ONNX, Scikit-Learn
• Computer Vision: OpenCV
• Data Processing: Pandas, NumPy
• MLOps & Monitoring: Neptune.ai

• Cloud Platforms: GCP, Azure, OCI
• Containerization: Docker, Kubernetes
• Big Data: Apache Spark, Hadoop
• Message Queues: Kafka
• Monitoring: ELK Stack

• SQL: Oracle, PostgreSQL, MySQL
• NoSQL: MongoDB, HBase
• Search Engines: Elasticsearch
• Data Warehousing: Hive

• Languages: Python, JavaScript, Java, C++, Bash, R, C#
• IDEs: VSCode, Jupyter Lab, Visual Studio
• Version Control: Git, Azure DevOps
• Architecture: Microservices

• Linux/Unix-based Systems
• Windows

• AI Playground

  • A repository showcasing projects that leverage large language models (LLMs) and agent-based systems.
  • Includes the Simple Sales Assistant, a microservice interacting with OpenAI's API for sales assistance.
  • Designed to demonstrate expertise in AI, microservices, and scalable architectures.

• Document Intelligence Microservice

  • Developed and deployed in record time a microservice that uses Google LLM Gemini to automatically extract key information from birth and marriage certificates.
  • Reduced manual effort significantly and enhanced data accuracy by implementing advanced text processing and validation mechanisms.
  • Demonstrates proficiency in rapid prototyping, AI integration, and microservice architecture.

• Facial Recognition Pipeline

  • End-to-end facial recognition system using AI and MLOps best practices.
  • Developed state-of-the-art accuracy system.
  • Scaled to handle thousands of daily requests.
  • Currently in international certification process.

• MLOps Standardization

  • Standardized pipeline increasing efficiency and reliability by 30%.
  • Led a team of 8 data analysts and developers to design and deploy the pipelines of different projects.

• Face Liveness Detection System

  • Developed a robust facial liveness detection system to prevent spoofing attacks, utilizing advanced computer vision and AI techniques for improved security in identity verification systems.
  • Achieved 99% accuracy, matching industry leaders.
  • Enhanced security while reducing user friction.
  • Processing 100k+ daily requests in production.
  • Currently in international certification process.

• Cloud Infrastructure Optimization

  • Led migration to GCP for R&D operations.
  • Reduced cloud costs by 40%.

• Deep Learning Specialization (Coursera, Andrew Ng)
• Building Systems with the ChatGPT API (DeepLearning.ai)
• LangChain for LLM Application Development (DeepLearning.ai)
• LangChain - Develop LLM powered applications with LangChain (Udemy) - On Going
• Generative AI with Large Language Models (Coursera)
• Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera/DeepLearning.ai)
• Machine Learning in Production (Coursera/DeepLearning.ai)

• Exploring advanced use cases of Large Language Models (LLMs) with LangChain and ReAct.
• Experimenting with AI applications in emotional intelligence.
• Aiming to contribute to open-source projects in MLOps and biometrics.

I believe in the power of knowledge sharing and fostering collaboration within the tech community. Over the years, I have had the privilege of speaking at various events, which not only allows me to share my expertise but also pushes me to stay at the forefront of emerging trends in AI and MLOps. Here's where I've contributed:

• Speaker at 5th Meetup of Paraiba's AI Community (2024)
• MLOps in Practice Workshop at Vsoft (2022)
• Mentor & Contributor: Actively mentoring newcomers in AI and MLOps, sharing best practices, and contributing to open-source projects that align with my expertise in biometric systems and AI.

Through these engagements, I aim to inspire others while learning from their diverse experiences. Engaging with the community keeps me motivated to innovate and continue improving the field of AI and biometrics.

• I'm fascinated by Philosophy and its intersection with AI.
• I enjoy discovering music from different cultures and genres.
• My favorite book genre is classic literature, specially Brazilian literature.

I'm always excited to collaborate on innovative AI projects or discuss new ideas. Feel free to reach out!