Jefté L.

Machine Learning/AI Engineer

Machine Learning Engineer Jr./Intermediate
8/1/2023 - 2/1/2024

Within an organization dedicated to managing benefits and health plans, developed expertise in enhancing customer interaction and support. Led a project to implement a chatbot, leveraging Dialogflow and advanced OpenAI technology, integrated with Azure cognitive services. This initiative aimed at providing personalized and efficient customer service, ensuring quick and accurate responses to customer inquiries.

Chatbot Developer Jr./Mid-Level
1/1/2023 - 7/1/2023

Worked extensively on developing and enhancing chatbots using the Rasa Open Source platform. Focused particularly on improving natural language understanding (NLU), natural language processing (NLP), and chatbot response management processes. Applied advanced algorithms based on neural networks, specifically the Deep Learning architecture of Transformers, as well as rule-based algorithms.

Contributed significantly to defining the infrastructure and constructing the integration and application availability architecture. This included implementing a scalable architecture with load balancing and traffic distribution to handle high volumes of daily message traffic, ensuring both efficiency and reliability.

Developed a chatbot with human overflow capability, leveraging a microservices architecture managed by GCP Cloud Run. This architecture facilitated horizontal scalability, meeting the increasing user demand. The use of GCP Cloud Run allowed the application to be deployed and scaled automatically, adjusting the number of instances as required. This implementation promoted cost optimization and provided consistent, reliable performance, ensuring efficient and uninterrupted user responses.

Backend Developer Jr./Mid-Level
10/1/2022 - 1/1/2023

Gained extensive experience as a backend developer, focusing on the migration of a Flask API to AWS Lambda within the banking reconciliation sector. Developed proficiency in Python and the Flask framework, ensuring seamless API integration with AWS Lambda. Utilized AWS services extensively, including AWS S3, AWS RDS, and AWS CloudWatch, to enhance functionality, monitoring, and performance. Applied best practices in serverless architecture, optimizing for scalability and cost-efficiency. Also ensured secure and efficient data handling in alignment with industry standards. Proficient in leveraging DevOps tools such as Docker and Terraform for streamlined deployment processes, and collaborated effectively using version control systems like Git.

Chatbot Developer Jr.
8/1/2021 - 9/1/2022

Developed and improved Natural-Language Understanding (NLU), Natural Language Processing (NLP), and chatbot response management processes using neural network architectures based on the Deep Learning technique known as Transformers. Implemented rule-based algorithms to create a hybrid chatbot capable of handling complex interactions. Integrated chatbot services with potential human transfer within a microservices architecture managed by Kubernetes. Utilized Python for tasks such as API consumption, data manipulation, machine learning, deep learning, NLP/NLU, and chatbot development. Employed Git for version control and GitHub for project hosting. Managed continuous integration and continuous deployment (CI/CD) processes through Jenkins. Utilized Docker and Kubernetes for containerization and orchestration. Leveraged MongoDB and Redis for NoSQL database management. Applied Agile methodologies, specifically KANBAN and SCRUM, to optimize workflow and project management.

Chatbot Developer Trainee
2/1/2021 - 7/1/2021

Gained expertise in developing chatbot POCs utilizing the Rasa Framework Open Source within a microservices architecture deployed using Docker on Huawei's cloud.

Information Technology at The Federal Institute of Education, Science and Technology of Tocantins
2018 - 2023