Brayan Neves

Experience

• 

  Universidade Federal de Ouro Preto

  Oct 2008 - May 2014

  • Undergraduate students in mobile device technologies.

    Nov 2010 - May 2014

  • Computer Lab. Administrator and Maintenance

    Apr 2010 - Apr 2011

  • Trainee Network Administrator

    Oct 2009 - Apr 2010

  • Computer Lab. Administrator

    Oct 2008 - Oct 2009
• 

  FUNDAÇÃO EDUCACIONAL DE MARIANA

  Jul 2013 - Jun 2014

  Professor
• 

  Stilingue

  Feb 2014 - Jan 2023

  At Stilingue, I had the privilege of leading the establishment and growth of the data division from the ground up. My tenure here included:Team Building: Kickstarted the data team with just 2 dedicated professionals. Over the course of my leadership, nurtured and expanded this team to 7 data specialists, fostering a culture of collaboration and continuous learning.Tech Stack Implementation: Leveraged the Google Cloud suite along with several open-source tools to create a seamless and robust data infrastructure catering to the diverse needs of the organization.Data Ingestion: Spearheaded the integration and management of company-wide data, ensuring data integrity, accuracy, and accessibility for various departments.Strategic Insights: Focused on providing actionable insights primarily for the Sales and Customer Service teams, facilitating data-driven decision-making and enhancing operational efficiency. Show less As a back-end developer specializing in Java, I used Java with the Spring Framework to develop new features for the Warroom and SmartCare systems at Stilingue. In this phase of my career, I was responsible for training new employees in the company, as well as developing new features using Google Cloud, Kubernetes, Datastore, Redis and MongoDB. I also helped create an OAuth authentication and permission system for the company's new system, allowing clients to access specific features with specific permissions. Show less As the Head of Customer Support and Maintenance of the Warroom system at Stilingue, I was responsible for creating and leading a customer support team that started with just one person and grew to include 12 customer support representatives and 5 maintenance team members. The customer support team was responsible for answering customer inquiries, addressing complaints and suggestions, handling special requests for services, and resolving incidents and issues. In addition, we also created support materials such as tutorials and quick tips to help our customers. During this time, we were also building our Devops team and using tools for deploying applications in the cloud, including Google Cloud, Kubernetes, Datastore, MongoDB, Java, Spring, Helm, and Elasticsearch. Show less As a Backend Java Developer at Stilingue, I was responsible for the development and maintenance of the Warroom system. I utilized technologies such as Tomcat, MongoDB, and Elastic Search to create a platform for the retrieval of information from social networks such as Facebook, Twitter, and Instagram, as well as web crawlers on news websites. In addition to this, I was also responsible for the management of servers, VMs, and the system's database. My work was focused on the retrieval of information from social networks, web crawlers on news websites, and the management of servers, VMs, and databases. Show less

  • Head of Data Science

    Oct 2019 - Jan 2023

  • Back-end Specialist

    Oct 2018 - Oct 2019

  • Head of Customer Support and Maintenance

    Jul 2016 - Oct 2019

  • Cofounder and Back-end Developer

    Feb 2014 - Jul 2016
• 

  Blip

  Jan 2023 - Sept 2023

  Data Engineer Consultant

  After the strategic merger of Stilingue with Blip, I took on the role of coordinating a specialized data maintenance team. Our primary responsibility was to ensure the uninterrupted and efficient ingestion of data stemming from both Blip and Stilingue platforms.While the core of our mission was centered on data ingestion, we concurrently provided vital support to both the Customer Success and Professional Services departments. This support was particularly crucial when it came to devising and delivering tailored data products to meet the unique needs of our clientele.Beyond our day-to-day operations, we continually sought avenues to advance our technological infrastructure. A significant part of this endeavor was devoted to enhancing our data pipelines. Our objective here was twofold: achieving optimization in data processing and realizing cost reductions. To ensure that we were at the forefront of industry standards, we actively employed and integrated best practices, particularly leveraging tools and frameworks like Azure, Databricks, and PySpark.In addition to the aforementioned responsibilities, I also held a pivotal role in optimizing our Power BI resources. This was essential to guarantee the high-performance and responsiveness of our data visualization tools, ensuring that the entire company had access to clear, real-time insights without any lag or disruption. My focus on Power BI resource optimization not only ensured efficient visualization but also contributed to an overall enhanced decision-making process across all departments. Show less

• 

  BrandLovrs

  Jul 2024 - now

  As Head of Data at BrandLovrs, I lead a team of 7 people, overseeing all data and artificial intelligence strategies and operations. I continue to lead the Social Data team, managing the entire data pipeline related to creator interactions, from platform connection and social profile extraction to profile enrichment using AI technologies, including image and video analysis. I also oversee critical processes such as identifying sensitive content, validating campaign videos to ensure briefing compliance, detecting campaign video publications for automated payments, and collecting campaign performance data for brand reporting.Additionally, I lead the data pipeline related to creator-generated coupons, ensuring sales tracking in e-commerce platforms, automating payments to creators, and managing virtual wallets for both creators and partner brands. My role focuses on driving innovation, efficiency, and measurable outcomes through data strategies that empower both creators and brands. Show less As a Principal Software Engineer at BrandLovrs, I led a team of 3 engineers to integrate official social media APIs, including Instagram, TikTok, and YouTube, into the company’s core system. I designed scalable and monitorable data pipelines using Go, AWS (SQS, Lambda), and MongoDB, adhering to Clean Architecture principles to ensure robust and high-quality solutions. I developed an internal library in TypeScript to standardize the development of new projects, eliminating code duplication and fostering best practices. To ensure reliability, I implemented comprehensive unit and integration testing strategies, leveraging LocalStack to simulate local environments. Beyond technical delivery, I provided consultancy to the Data and AI teams, helping mid-level and junior-dominated teams improve their performance and align with high engineering standards. Recently, I integrated the entire data pipeline into the Creator Ads system, enabling transparent identification of publications for automated content creator payments using official APIs. My work was defined by the dissemination of best practices and the promotion of technical excellence across the engineering organization. Show less

  • Head of Data & AI

    Nov 2024 - now

  • Principal Software Engineer

    Jul 2024 - Nov 2024