Open to opportunities

Rubens Zimbres

@rubenszimbres

Message

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

Brazil

Message

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

Current

Machine Learning Engineer

Current

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.

AWS Sagemaker Ollama RAG Kubernetes Privacy)Gemini Privacy

Current

Startup Mentor

Current

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.

Machine Learning Google Cloud Platform Vertex AI MLOps Architecture FinOps Mentoring

Current

OWASP Contributor

Current

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.

Threat Modeling AI Safety Risk Assessment Compliance Open Source

Current

Google Developer Expert

Current

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.

Google Cloud Platform Gemini)Jax MLOps Containers Gemini

Senior Data Scientist

Intellimetri

Apr 2019 - Jun 2024 (5 years 2 months)

Led ML architecture, MLOps and FinOps on Google Cloud; built Vertex AI vector-search recommenders used by over 100,000 users and deployed production RAG solutions. Developed revenue forecasting with Temporal Convolutional Networks achieving 91.5% precision for a hotel chain.

Vertex AI Kubeflow Recommender Systems TensorFlow Time Series MLOps FinOps Embeddings Vector Search

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.

Speech Recognition Deep Learning NLP Gradient Boosting Python Embeddings A B Testing

Business Intelligence Analyst

Doux Dermatology

Oct 2010 - Jul 2013 (2 years 9 months)

Used BI and statistical analysis to double business profit in the first year and increase net profit 239% over 2.5 years while improving ROI and EBITDA significantly. Implemented digital marketing and market research strategies that improved financial and operational KPIs.

Business Intelligence Data Analysis SQL Digital Marketing Market Research Financial Modeling KPIs

Education

Degrees, certifications, and relevant coursework

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

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

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.