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Rubens Zimbres

@rubenszimbres

I am a Senior ML Engineer specializing in secure, scalable AI and MLOps.

Brazil
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What I'm looking for

I seek a senior ML role building secure, scalable LLM and MLOps solutions in cloud-first teams that value security, privacy, mentorship, and ownership of production architectures.

I am a Senior Machine Learning Engineer and Ph.D. with deep expertise in machine learning, NLP, and cloud platforms. I hold Google Cloud Certified Data Engineer credentials, am a Google Developer Expert in Machine Learning and Google Cloud (Security), and maintain multiple AWS certifications including Machine Learning - Specialty.

I design, deploy, and secure production AI solutions—working with TensorFlow, PyTorch, LLM fine-tuning, Vertex AI, SageMaker, Amazon Bedrock, Kubernetes and containerized MLOps. I helped create an LLM-Scan product to evaluate security, legal and brand risks, deployed multi-cloud inference stacks, and presented research on multi-agent LLM security at BlackHat Europe and the AI Agents Conference.

I have led and mentored Machine Learning and DevOps teams to deliver high-impact systems such as large-scale recommender platforms used by 100,000+ people, RAG/embedding-based chatbots, and high-accuracy forecasting models. I focus on secure, privacy-aware AI, proactive problem-solving, and driving efficiency in cloud-first production environments.

Experience

Work history, roles, and key accomplishments

ZE
Current

Machine Learning Engineer

Zendata

Sep 2024 - Present (1 year 1 month)

Created and deployed the LLM-Scan product to evaluate LLM security, legal, brand and general risks, and maintained legacy codebases. Deployed solutions across AWS Batch, SageMaker, Bedrock, Azure OpenAI, Google Gemini and Ollama and led multi-agent security work presented at BlackHat Europe 2024 and AI Agents Conference 2025.

GS
Current

Startup Mentor

Google for Startups

May 2024 - Present (1 year 5 months)

Mentor for the Google for Startups Accelerator Brasil advising early-stage companies on machine learning, model deployment and cloud infrastructure best practices. Provide technical guidance to improve scalability and production readiness for Brazilian startups.

OW
Current

OWASP Contributor

OWASP

Jan 2024 - Present (1 year 9 months)

Volunteer contributor to the OWASP Top 10 for LLM Applications project, focusing on threat modeling, mitigation strategies and best practices for secure LLM deployments. Work intersects AI safety, security and compliance for production systems.

GD
Current

Google Developer Expert

Google Developers

Oct 2022 - Present (3 years)

Contribute as a Google Developer Expert in Machine Learning and Cloud Security, delivering end-to-end ML solutions on Google Cloud. Delivered multi-agent systems, multimodal generative AI solutions and fine-tuning projects including Gemma models and JAX/Flax contributions.

VM

Data Scientist

Vecto Mobile

Oct 2017 - Apr 2019 (1 year 6 months)

Researched and developed speech recognition and prediction models and deployed a recruitment solution across six Latin American countries, reducing screening time by up to 73% and achieving >85% candidate selection accuracy. Contributed R&D to multiple ML-driven product initiatives.

Education

Degrees, certifications, and relevant coursework

Mackenzie University logoMU

Mackenzie University

Doctor of Philosophy, Business Administration and Electrical Engineering

2006 - 2009

Activities and societies: Full research scholarship; patent granted in 2009.

Dual doctorate in Business Administration and Electrical Engineering with agent-based modeling research; awarded a full four-year research scholarship and resulted in a patent in 2009.

Mackenzie University logoMU

Mackenzie University

Master of Science, Business Administration and Electrical Engineering

2004 - 2005

Activities and societies: Full research scholarship; publications at EnANPAD and EIS (2008).

Dual Master's (Stricto Sensu) in Business Administration and Electrical Engineering focused on cellular automata research; awarded a full two-year research scholarship and published at EnANPAD and the 10th International Conference on Enterprise Information Systems (2008).

Brown University logoBU

Brown University

Summer Research Program, Computational Modeling

2006 -

Activities and societies: Publication: Electronic Notes in Theoretical Computer Science.

Attended the Wolfram Research Summer School studying a cellular automaton model; results were published in Electronic Notes in Theoretical Computer Science.

University of São Paulo logoUP

University of São Paulo

Bachelor of Dentistry, Dentistry

1988 - 1992

Completed a Dentistry degree (1988–1992) at the University of São Paulo.

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Rubens Zimbres - Machine Learning Engineer - Zendata | Himalayas