Founder & CEO | BSI - AI & Optimization ConsultingAs the founder of BSI, I lead a cutting-edge consulting firm specializing in artificial intelligence and optimization, committed to driving transformative change and operational excellence for our clients.Key Responsibilities:- Strategic Leadership: Develop and execute the company’s vision, ensuring alignment with industry trends and client needs.- Team Guidance: Lead a team of AI experts and data scientists to deliver innovative and impactful solutions.- Client Collaboration: Partner with clients to identify challenges, craft bespoke AI strategies, and implement optimization techniques.- Innovation: Drive the adoption of advanced AI and optimization technologies to enhance decision-making and business processes.- Results-Oriented: Focus on delivering measurable outcomes that improve efficiency, reduce costs, and increase profitability for clients.

Integration Consultant | hotglueAs an Integration Consultant at hotglue, I specialize in enabling seamless data integration and automation for our clients, helping them leverage hotglue’s powerful platform to connect and manage their third-party data sources efficiently.Key Responsibilities:- Technical Integration: Assist in the design and implementation of customized integration solutions that align with client needs and technical requirements.- Problem Solving: Troubleshoot and resolve integration challenges, providing expert support to ensure smooth and reliable data flows.- Collaboration: Work closely with product and engineering teams to enhance hotglue’s marketplace offerings based on client feedback and industry trends.- Continuous Improvement: Identify opportunities to streamline integration processes, improving efficiency and scalability for both clients and the platform.

• Led a team of 5 developers to enhance client report generation for North America, Latin America, and West Europe, having reduced new bugs by 50% through meticulous code and 1-on-1 review processes.• Streamlined development processes, achieving a 100% increase in team development velocity by fostering a pair programming culture and implementing knowledge-sharing initiatives.• Enabled report generation process scalability by guiding a cross-functional team, securing a major contract, and ensuring client satisfaction.• Played a key role in increasing the company size within a year through strategic hiring and conducting technical interviews, directly contributing to team expansion, and enhancing our technical capabilities.

• Developed an optimization engine in Python for vehicle routing, reducing vehicle needs by 20% for Brazil's leading sugar producer.• Built Distance Matrix APIs, enhancing route efficiency and saving $60K/month on cloud expenses while optimizing 40k+ locations.• Led a team of 6, applying Agile practices to streamline development, resulting in delivering a critical project from conception to production-ready in 16 months.• Spearheaded the creation of an interactive map for route visualization, integrating Google Maps API to meet urgent client requirements.• Orchestrated technical requirements for six integrations, enabling real-time monitoring and essential reporting for project validation.

• Analyzed customer responses using a Mixed Media Model (MMM), identifying key insights into OOH and paid ad effectiveness, and setting the stage for evaluating long-term brand awareness investment returns.• Developed a predictive Markov Chain model in Python, analyzing app user behavior to refine engagement strategies, resulting in a 15% increase in app activation by tailoring user communication.• Conducted comprehensive data analyses at the executive level, influencing a strategic pivot in credit policy and marketing efforts, which significantly raised the volume of high-quality leads for credit card products by 45%.• Led a targeted analysis on the instant payment platform PIX to detect fraudulent patterns, using data science techniques to identify and mitigate risks associated with micro-transaction activities.

During my academic journey, I conducted significant research in the field of optimization under uncertainty. My work led to three major advancements:I developed an innovative approach for solving optimization problems under uncertainty, which I named SIROM (Sampling-based multi-objective Iterative Robust Optimization Method). This method automatically finds solutions using information gathered through simulations and clusters solutions based on similarity. I applied SIROM to an Industry 4.0 linear optimization problem, specifically bandwidth packing. In 92.5% of cases, SIROM outperformed or achieved results equal to the existing literature methods for the same problem.I tackled a 2D target location problem under uncertainty by employing distance geometry. My approach differed from the classical literature model, resulting in significantly lower location errors in 59% of cases and reduced execution time compared to existing methods.I introduced a novel measure of robustness called "Hardness," which assesses the feasibility of a solution under various scenarios of uncertain parameters. This measure offers a clearer and more nuanced evaluation of robustness compared to traditional literature quality measures.My research contributions demonstrate my expertise in optimization and my ability to develop innovative solutions to complex problems. These experiences have enriched my skills in mathematics, computer science, and problem-solving.

• Started the movement for the adoption of API-based models and cloud computing with AWS, reducing model deployment times from 5 days to 5 minutes and increasing data processing efficiency.• Implemented a Python heuristic for freight size estimation, resulting in a 20% optimization in logistics planning and vehicle allocation.

• Developed optimization solutions in Java, enhancing workforce planning for train engineers by integrating taxi services into schedules, resulting in a more flexible and efficient allocation of resources.• Implemented a column generation approach with CPLEX to improve scheduling processes, contributing significantly to operational efficiency.• Managed a Big Data cluster processing real-time data via Kafka, utilizing PySpark for NLP models to detect fraud probabilities on trains, effectively enhancing security measures and preventing potential fraud incidents.• Coordinated a social hackathon, bridging university students with professionals to support NGOs, fostering community engagement, and offering practical experience to students.

Development of a statistical tool using R Language and Shiny.

Manutenção de simuladores aeronáuticos, logística de estoque, automatização e melhoria de processos.