I led a high-achieving product engineering team of 15+ talented experts in iOS, Android, Front-end, Back-end, Data Engineering, and Data Science. We drive the continuous development of Brazil's leading Fantasy Sports game, delivering a captivating in-app experience loved by millions of users.Our mission is threefold:- Elevate gameplay and drive virality, continually expanding our user base.- Cultivate social interactions, extending user sessions, and boosting user engagement and retention.- Innovate conversion and upsell strategies and craft contextual advertising formats, maximizing product monetization.As Engineering Manager, I:- Transformed our team structure into a cross-functional powerhouse, laser-focused on delivering results that drive both product and business success, rather than merely shipping features.- Implemented a Growth framework rooted in A/B testing, metrics, and rapid hypothesis validation, embedding experimentation and data analysis into our software development lifecycle.- Collaborated closely with Product, Design and Business teams to establish an agile engineering model, enabling us to pivot rapidly in response to shifting market dynamics.- Pioneered a robust software quality assurance pipeline, ensuring the flawless delivery of bug-free products across our mobile apps, front-end, and back-end, while significantly reducing debugging time.- Spearheaded cost optimization in our cloud computing infrastructure, resulting in substantial savings that could be reinvested into enhancing other facets of our product.- Provided technical guidance to the team, ensuring scalability, security, sustainability, and the adoption of industry best practices in direct-to-consumer solutions.- Nurtured and mentored our software engineers, fostering their professional growth and cultivating a culture of continuous learning and innovation within the engineering team.Tech Stack: Golang, Python, Kotlin, Swift, React Native, Google Cloud Platform

I co-founded Globo's Silicon Valley office, where I played a key role in connecting rising technologies from innovation hubs with the company's business units and forged strategic partnerships that drove business growth. As Head of Engineering Partnerships, I:- Successfully scouted and engaged with hundreds of tech startups addressing challenges in the Media, Advertising, and Entertainment sectors, amplifying our innovation efforts.- Cultivated extensive relationships with a diverse spectrum of stakeholders, including startup founders, accelerator program managers, influential venture capital investors, and top-level industry executives.- Actively represented Globo in prominent industry-related events, engaging in insightful discussions with industry leaders, enriching our industry perspective.- Orchestrated collaborative efforts across multiple divisions, including Content Production, Advertising, and Digital Products, to manage a robust Open Innovation pipeline with numerous proof of concepts.- Played a pivotal role in crafting and executing business strategies in partnership with Senior Leadership. My participation in a strategic Forum led to the establishment of a new revenue stream, impacting the company's top line.- Secured equity-based partnership agreements with tech startups, benefiting both the startups and our organization, including Globo Ventures.Development of Business Acumen:This phase of my career marked substantial growth, particularly through my exposure to the business perspective. This experience has enriched my leadership as an Engineering professional, equipping me with valuable business acumen that I apply in my role today.

I had the privilege of leading a talented 20-person software engineering team, including back-end and front-end engineers, video solutions engineers, SREs, product managers, project managers, and agile coaches.Our mission was to unlock the company's digital transformation by constructing a robust and flexible media processing & delivery platform capable of efficiently distributing content to streaming services, including Globoplay and partners, to amaze Globo content lovers wherever they are. As an Engineering Manager, I:- Started the team from the ground up, hired over 20 talented individuals, defined vision and strategic direction, instituted efficient processes, and nurtured valuable connections with partner areas and stakeholders.- Engineered the platform from scratch combining in-house and third-party tech, expanding not only the Globoplay catalog but also the company's digital presence in a number of media partners, which contributed millions to the organization's top-line- Conducted technical system design sessions with engineers to scale up the platform to enable the delivery of hundreds of hours of media content daily, reaching millions of subscribers across Globoplay and other Streaming partners- Oversaw the product roadmap in collaboration with the business area, providing quarterly reports on deliverables and outcomes to digital product stakeholders, which ensured complete transparency in product development expectancy- Introduced innovation practices into the software development life cycle, leading to unexpected product enhancements, like an NLP- and ML-based algorithm that relied on TV show scripts and video closed captions to select the most representative artwork for viewers, which increased click rate- Implemented top management practices for performance review and career development that brought turnover close to zeroTech Stack: C++, Python, Java, Docker, Kubernetes, AWS, CI/CD pipelines, HLS, MPEG-Dash, MPEG-2, H264, among others.

I proudly managed a team of 10+ diverse researchers specialized in technologies such as computer vision, multimedia digital signal processing, machine learning, artificial intelligence, natural language processing, data analytics, augmented/virtual reality, and IoT technology.Our mission was to leverage cutting-edge tech to explore, prototype, and create products that generate new revenues, grow existing ones, cut costs, and strengthen the company's brand.As an Engineering Manager, I:- Pivoted the R&D team orientation from product development to emerging tech exploration and prototyping focused on creating new products- Implemented a time- and effort-efficient innovation framework that relied on design sprints, cross-area collaboration, and a stage-gate-based funnel approach to spark hundreds of ideas and walk them through a validation funnel- Led the engineering part of a cross-functional team that was awarded Cannes Lions with the Powered by Respect campaign, which has been featured at the World Economic Forum- Delivered an NLP-based system responsible for semi-automatically writing and publishing daily sports news, which saved the editorial team’s time for more relevant work

I started as an Intern and went all the way to Tech Lead. During this time, I built many video-based large-scale distributed systems as well as products using cutting-edge technologies to enable faster and reliable TV production workflows. I can mention some of them:- Built an award-winning platform based on custom video ingest, encoder, transcoder, and player to obsolete videotapes in TV production workflows, resulting in agility in the production of news and sports stories- Developed a digital platform that replaced shows and advertisements videotapes with video files going through the network in the operation of TV On-Air Control Rooms- Employed digital signal processing techniques to extract audio and video features of a soccer match, and trained a machine learning model to automatically classify soccer video highlights- Applied a neural network model to accelerate the lip-syncing process of a 3D virtual newscaster, that used to go on-air on TV every Sunday for millions of people- Designed and implemented a remote contribution system that allowed news and sports journalists to deliver stories from abroad Headquarters over the Internet during big events such as the World Cup and the Olympic Games- Video players, video encoders and transcoders, video processors, and much more.Tech Stack: Audio & Video Signal Processing, Computer Vision, Machine Learning, MPEG-2, H264, C/C++, Python, node.js, Javascript, MySQL, MongoDB, ElasticSearch, and more.