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Sarah Hannah Alves

@sarahhannahalves

AI Senior Manager in Growth with Multimodal GenAI, Computer Vision & Graphics

Brazil
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What I'm looking for

Seeking a challenging role that leverages my AI expertise to drive business growth and innovation, with opportunities for leadership and professional development.

AI & Data Science senior manager with 17+ years of experience leading large-scale AI transformations across global enterprises, specializing in multimodal AI, computer vision, and generative AI. Currently serving as Senior Global Manager at AB InBev, I define and execute AI strategy across 13 global business units and 4 external partners, driving enterprise AI platforms that support thousands of retail operations worldwide. I lead and scale high-performing multidisciplinary teams (15+ data scientists and technical leaders), owning the full AI lifecycle—from strategic roadmap definition to production deployment and operational impact. My work powers systems processing ~2 million images per month, enabling real-time retail intelligence for 15k+ field agents and millions of points of sale. I have a strong track record of delivering measurable business outcomes through AI, including reducing model training cycles from days to minutes (~40× acceleration), cutting labeling costs by ~50% (~$1M annually), and decreasing manual workload by 70%, while increasing scalability and reliability of AI-driven operations. My expertise sits at the intersection of multimodal perception, generative AI, and large-scale platformization. I have led the development of enterprise-grade solutions such as retail intelligence platforms, multimodal GenAI copilots serving millions of users, and advanced computer vision systems for compliance, analytics, and automation. Previously, at Dell Technologies R&D, I led applied AI programs in multimodal AI and 3D data, generating 12 approved invention disclosures and transitioning research into enterprise innovation initiatives. At Energisa, I delivered AI systems operating over 10M+ infrastructure assets, reducing inspection time by 10× and supporting regulatory compliance in a multi-billion-dollar operation. I operate at the intersection of strategy, technology, and business impact—aligning executive stakeholders, building scalable AI organizations, and delivering platforms that drive efficiency, cost optimization, and new revenue opportunities. I am particularly focused on advancing next-generation AI systems that integrate perception, reasoning, and generation to transform enterprise decision-making at scale.

Experience

Work history, roles, and key accomplishments

 AB InBev logoAI
Current

Sr Mgr GenAI, Computer Vision & Graphics

Mar 2025 - Present (1 year 3 months)

Led AI and personalization initiatives within AB InBev’s Growth organization, driving
monetization, retention, revenue expansion, and retail intelligence through a multimodal
cloud-based agentic AI approach to scale AI-powered products across thousands of users and
multiple markets.

AI impact across ~4M businesses, 13 BUs, 4 partners, 2M images/month, 40× faster rollout, and ~$1M/year savings.

DT
Current

R&D Senior Data Science Researcher

Oct 2022 - Present (3 years 8 months)

Led applied AI research within Dell’s advanced research organization, driving early innovation in multimodal AI agents, computer vision, generative AI, and 3D/4D intelligence. Transformed emerging technologies into enterprise applications, strategic prototypes, and intellectual property.

IN

Research Collaborator

INCA

Sep 2019 - Jun 2021 (1 year 9 months)

Leading the implementation of AI models to identify cancer patient profiles, achieving significant reductions in feature analysis and improvements in accuracy.

TE

Engineer

TechnipFMC

Nov 2012 - Aug 2015 (2 years 9 months)

Supervising a team on materials engineering projects, optimizing materials requisition processes, and reducing lead times significantly.

MC

Intern

Maemfe Ind. & Com.

Aug 2010 - Dec 2011 (1 year 4 months)

Leading the design and implementation of ETL flows and business process mining tools, significantly improving production lead times.

CO

Scientific Initiation Intern

COPPE

Aug 2008 - Aug 2010 (2 years)

Implementing graph-based optimization algorithms and mathematical modeling for ore processing, achieving significant reductions in processing time.

Education

Degrees, certifications, and relevant coursework

Rio de Janeiro State University logoRU

Rio de Janeiro State University

Doctorate in Computer Sciences, Computer Sciences

Doctorate in Computer Sciences focused on Generative AI, Explainable Artificial Intelligence, and Computer Vision applied to amodal perception.

Aeronautical Institute of Technology logoAT

Aeronautical Institute of Technology

Specialization in Artificial Intelligence, Artificial Intelligence

Specialization in Artificial Intelligence with emphasis on artificial intelligence.

Pontifical Catholic University of Rio de Janeiro logoPJ

Pontifical Catholic University of Rio de Janeiro

Master’s in Electrical Engineering, Electrical Engineering

Master’s in Electrical Engineering with emphasis on Artificial Intelligence.

Federal University of Rio de Janeiro logoFJ

Federal University of Rio de Janeiro

Metallurgical Engineering, Metallurgical Engineering

Metallurgical Engineering program; final project on graph-based optimization.

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