Open to opportunities

Arnold Silva Freitas Neto

@arnoldfreitas

Message

Senior AI engineer building production-grade RAG and agentic systems for enterprise, regulated environments.

Brazil

Message

What I'm looking for

I’m open to senior remote positions worldwide where I can build and deploy production-grade LLM systems (RAG, agentic workflows) for enterprise clients, especially in regulated environments, collaborating across international teams.

I’m a Senior AI Engineer specializing in production-grade LLM systems, combining machine learning, backend systems, and cloud infrastructure to deliver outcomes in regulated enterprise environments. With 5+ years of experience, I build RAG pipelines, agentic workflows, and conversational AI solutions for banking and insurance clients.

In client-facing, fully remote engagements, I design, deploy, and operate hybrid/on-prem AI services using Azure, Docker, and Kubernetes—always with GDPR and sector-specific data protection requirements in mind. I’ve led enterprise rollouts of automation and AI orchestration (including n8n), enabling reusable AI-driven processes across teams.

Before that, I worked as a Data Scientist in the autonomous systems space, delivering production-grade CI/CD pipelines for robotics and autonomous driving, including deep learning and reinforcement learning validated on physical test platforms. I also pioneered early LLM integration into mobile robotic platforms with speech-driven human-robot interaction to support internal knowledge sharing.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer Consultant

Current

PPI AG

Sep 2025 - Present (9 months)

Designed and deployed production-grade LLM systems (RAG, agentic workflows) for 3–5 enterprise banking and insurance clients, automating knowledge retrieval and customer interaction to reduce manual processing effort. Architected compliant hybrid/on-prem deployments on Azure using Docker and Kubernetes and led an enterprise rollout of n8n for reusable workflow automation.

RAG Azure Docker Kubernetes N8n GDPR Compliance Model Context Protocol (MCP)

Freelance AI Developer

Independent (International Clients)

Jan 2024 - Aug 2025 (1 year 7 months)

Delivered end-to-end AI solutions for 2–3 clients across EU/US/UK, independently managing full project cycles across distributed teams. Built a document classification API and NLP pipeline to evaluate and rank technical proposals, and deployed production-ready ML systems on Microsoft Azure.

Python Document Classification OpenAI API N8n Machine Learning Microsoft Azure API Development

Data Scientist - Autonomous

IAV GmbH

Jan 2020 - Dec 2023 (3 years 11 months)

Designed and deployed ML systems for autonomous driving and robotics, using Python, ROS, Docker, and Kubernetes within production CI/CD pipelines. Applied deep learning and reinforcement learning for vehicle control and sensor fusion, and pioneered early LLM integration for speech-driven human-robot interaction.

Python ROS Docker Kubernetes CI CD Deep Learning Reinforcement Learning Sensor Fusion predictive modeling Sensor Fusion

Education

Degrees, certifications, and relevant coursework

Technische Universität Berlin

Master of Science, Computational Engineering Science

2021 - 2024

Designed and deployed enterprise-grade RAG-based chatbot systems for legal and insurance domains. Implemented agentic workflows for multi-step reasoning and deployed hybrid architectures to meet strict data protection requirements.

Technische Universität Berlin

Bachelor of Science, Aeronautical and Aerospace Engineering

2018 - 2022

Studied aeronautical and aerospace engineering concepts including flight mechanics and embedded software. Designed and implemented a system to measure rigid-body and structural dynamics of a flexible aircraft and capture vibration modes of the airframe.