Bernardo Luiz Padilha Zamin AI Engineer @ Voiceflip

Senior AI Engineer

Voiceflip

May 2026 - Current (6 months)

Designing, building, and maintaining scalable AI solutions that integrate with the company’s products and
operational workflows.
◦ Implementing data pipelines, feature engineering, and model monitoring to support end-to-end AI lifecycles.
◦ Deploying and scaling models using containerization, orchestration, and MLOps practices.
◦ Optimizing inference performance and cost while performing model drift detection and retraining cycles.
◦ Collaborating cross-functionally with product, data, and engineering teams to translate business needs into reliable
AI systems.
◦ Maintaining model documentation, reproducibility, and compliance with privacy and safety standards

Artificial Intelligence Engineer

EY

Feb 2026 - May 2026 (4 months)

◦ Designed and developed enterprise-grade AI solutions for one of the largest financial institutions in Brazil,
focusing on Retrieval-Augmented Generation (RAG) systems and LLM-powered agents.
◦ Architected and implemented scalable RAG pipelines, including document ingestion, embedding strategies, vector
search, and orchestration of multi-step reasoning workflows.
◦ Developed intelligent agentic systems to automate knowledge retrieval, decision support, and internal workflows,
integrating LLMs with enterprise data sources and APIs.
◦ Collaborated with cross-functional teams (data engineering, platform, and business stakeholders) to deliver
production-ready AI systems with high reliability and performance.<

Machine Learning Development

HP

Jan 2025 - Jan 2026 (1 year 1 month)

Built and maintained production-grade LLM platforms, deploying multiple models in a Kubernetes cluster and
enabling scalable inference workflows.
◦ Designed and implemented Python/FastAPI services exposing AI agents and LLM capabilities to internal
applications and data sources.
◦ Implemented MLflow experiment tracking and model registry workflows to benchmark and compare LLM
variants with reproducibility.
◦ Automated MLflow backups to Azure Blob Storage and validated restore processes to ensure reliability and
disaster recovery.
◦ Contributed to infrastructure observability using Prometheus and Grafana, improving monitoring of AI workloads

L

Software Development Intern

LIS Software Innovation Laboratory HPPUCRS

Jun 2024 - Dec 2024 (7 months)

Applied multimodal Large Language Models (LLMs) to constrained hardware environments, exploring efficient
methodologies to optimize performance under limited resources.
◦ Designed and maintained data pipelines to enable efficient processing and analysis of large datasets, leveraging
Python for data transformation and extraction of meaningful insights.
◦ Deepened knowledge in advanced AI techniques to enhance the understanding and performance of multimodal
LLMs in various applications.

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Researcher Intern

MALTA Machine Learning Theory and Applications Lab

Aug 2023 - Jun 2024 (11 months)

I participated in research on sign language recognition using AI, focusing on the translation of Brazilian Sign
Language (LIBRAS) to Portuguese. Leveraged deep learning techniques to extract and enhance keypoints from
high-definition video datasets.
◦ Utilized Python and libraries such as Pandas, Scikit-learn, MediaPipe, OpenCV, OS, and Numpy to test and refine AI models, leading to significant results for my research.

IT Infrastructure Support Intern

InfraTI

Mar 2023 - Apr 2023 (2 months)

◦ Managed network switches, ensuring stable and secure connectivity across the company’s infrastructure.
◦ Updated the company’s password database, enhancing security protocols and safeguarding sensitive information.
◦ Created comprehensive IT reports, providing key insights for the management team on infrastructure performance.

Bernardo Luiz Padilha Zamin

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Bernardo Luiz Padilha Zamin

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