Renan Butkeraites

• Lead IT operations and technology strategy at SG LAW LLP, overseeing infrastructure, cloud platforms, cybersecurity, legal technology systems, and internal support operations.
• Manage and optimize the firm’s secure use of hardware, software, data systems, practice management tools, e-discovery platforms, document automation, and AI-powered legal technology.
• Support the development, testing, d

Director of Technology | Fresh Codes - AI-Driven Product Development

• Lead end-to-end backend engineering, designing distributed cloud architectures (AWS, Azure) and high-throughput data pipelines.
• Mentor a fully remote team (4+ engineers), embedding clean-code and peer-review best practices.
• Translate business objectives into scalable technical roadmaps, ensuring resilient, high-impact deli

Tech Lead | Serendipe - Instituto de Ciência e Tecnologia

As a Tech Lead at Serendipe, I drive the institute’s technical strategy, ensuring the successful execution of high-impact R&D projects while fostering innovation and technical excellence. My role bridges technology, people development, and business growth, aligning our solutions with cutting-edge advancements.

Key Responsibilities:

• Tec

Founder & CEO | BSI - AI & Optimization Consulting

As 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 ne

Integration Consultant | hotglue

As 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 th

• 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 gen

• 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 prod

Worked as Researcher at Nitryx Consulting.

• 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

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 t

• 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 dat

Worked as Research Intern at CIRRELT.

Development of a statistical tool using R Language and Shiny.

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

Doctor of Philosophy in Operations Research from Universidade Federal de São Paulo.

Doctor of Philosophy in Operations Research from Instituto Tecnológico de Aeronáutica.

Undergraduate student pursuing a Bachelor's degree in Science and Technology at the Federal University of São Paulo, with a focus on Computational Mathematics. Conducted research at the undergraduate level in the fields of linear and nonlinear optimization, as well as biomechanics and assistive technology. Also served as a planner and executor of science outreach projects within the framework of t

Bachelor of Science and Technology in Computational Mathematics. Conducted undergraduate research in linear and nonlinear optimization, biomechanics, and assistive technology.

Mecatronica

Technical degree in Mechatronics from Senai Roberto Simonsen.