• Led the continuous maintenance and optimization of machine learning models for ranking and recommendation, achieving the best production performance in the last two years and reducing AWS infrastructure operating costs by 70%.• Implemented significant improvements in the candidate recommendation service, resulting in higher user satisfaction and the closing of strategic contracts for the company.• Adapted machine learning projects to ensure compliance with data protection regulations such as LGPD and GDPR.• Developed monitoring dashboards and alerts for models in production, as well as monitoring queues and application resources, using Datadog and Superset.• Provisioned and maintained the entire infrastructure for AI products related to ranking, recommendation, and resume parsing, using Kubernetes.• Created demos to showcase the company's AI functionalities at events and product sales, including experiments with LLM models (Claude 2 and Llama 2) with Amazon Bedrock, using the Streamlit platform.• Prepared explainability reports for the ranking and recommendation model for clients, utilizing insights obtained through SHAP (SHapley Additive exPlanations).• Wrote application documentation and model cards for models produced by the team.• Provided SQL and Python mentorship to company employees.

• Contributed to the development of a proprietary end-to-end resume parsing solution, from data collection to API implementation and monitoring for product use. This solution resulted in annual savings of over R$1.5 million for the company, being 6 times more efficient and with 40% fewer errors than the previous outsourced solution.• Developed a data augmentation solution to assist in the data annotation work for Named Entity Recognition (NER), optimizing the data acquisition process for training machine learning models.• Created scripts using DVC to manage the pipeline for data download, versioning, annotation, and model training, ensuring traceability and reproducibility of experiments.• Participated in the development and implementation of a proprietary Python library that facilitated the creation and versioning of features for training machine learning datasets from different data sources, accelerating the process by up to 5 times compared to the previous solution.• Created demos showcasing the company's AI functionalities using Streamlit, providing an interactive and visually appealing experience for clients and stakeholders during product sales processes and Gupy events.• Provided SQL mentorship to other company employees, sharing knowledge and promoting skill development within and outside the team.

• Developed Python scripts to report and fix issues identified through Sentry in the AI team's APIs, ensuring system stability and reliability.• Actively participated in the cleaning and maintenance of data used in feature engineering for ranking models, ensuring the quality and relevance of the information used.• Collaborated in maintaining proprietary neural network models responsible for measuring textual similarity between resumes and job postings. These deep learning models were built based on the world's largest textual corpus in 2020, specialized in resumes and job postings.• Created charts, dashboards, and alerts to monitor the cloud infrastructure for candidate ranking and recommendation services, ensuring the continuous availability and performance of the systems.• Contributed to the architecture of SQS queues for ranking service processing, optimizing workflow and operational efficiency. Additionally, developed contingency plans for reprocessing dead messages, ensuring the robustness and resilience of production systems.

• Responsible for solving complex technical challenges, addressing the needs of both company clients and candidates. This included in-depth investigation of platform bugs and implementation of effective solutions.• Created Python scripts to automate repetitive and time-consuming support tasks, improving the entire team's workflow efficiency. These scripts were maintained in fully versioned Git repositories.• Generated detailed reports for our clients using SQL in PostgreSQL, providing valuable insights into platform performance and usage.• Developed interactive dashboards using Zendesk Explore, which were crucial in assisting leadership with decision-making.• Implemented a service based on Apache Airflow to orchestrate report generation and automated submissions via Zendesk APIs. This process included the use of Docker containers, Python, and SQL to ensure efficiency and accuracy.• Played a key role in training new team members, equipping them to handle the growing challenges and demands of technical support. This resulted in a significant increase in the team's capacity to effectively address all support requests.My experience as a Software Engineer in support at Gupy allowed me to enhance my technical and problem-solving skills while contributing significantly to the company's success and our clients' satisfaction.

As a Digital Project Analyst at Cubo, I was responsible for leading and executing innovative digital projects that helped our clients achieve their marketing and online presence goals. My expertise spanned a wide range of technical and strategic skills.• Led the development of institutional websites, landing pages, and microsites using technologies such as HTML, CSS, JavaScript, and PHP. This resulted in attractive and functional online experiences for our clients.• Created and maintained effective e-commerce solutions using WordPress and WooCommerce, enabling clients to efficiently sell products and services online.• Implemented integrations with third-party service APIs to enhance the functionality and effectiveness of developed sites and systems, creating custom solutions for our clients.• Developed chatbots integrated with marketing campaign managers, such as RD Station, to improve website visitor interaction and increase the effectiveness of digital marketing campaigns.• Experienced with tools like Google Tag Manager, Google Ads, Google Analytics, and Facebook Pixel, which I used to track and optimize the performance of our clients' online campaigns.• Implemented search engine optimization (SEO) strategies to improve site visibility and rankings in search results, increasing organic traffic.• Built and managed email marketing strategies using MailChimp, creating effective campaigns that achieved measurable results.• Maintained internal computers and file servers to ensure an efficient and secure working environment.