Pedro Fernandes Email & Phone Number

São Paulo, SP, BR

São Paulo - SP, Brazil

São Paulo - SP, Brazil

• 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.
• 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.

São Paulo - SP, Brazil

• 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.
• 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.
• 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.

São Paulo - SP, Brazil

• 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.
• 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.

São Paulo - SP, Brazil

• 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.
• 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.

Paraíba Do Sul - RJ, Brazil

• 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.
• 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.

Paraíba Do Sul - RJ, Brazil