Hire the Best Embedded Systems Engineers in Rio de Janeiro, BR

I am pursuing my Master's in Applied Mathematics and since the beginning of my undergrad I've been trying to develop a very horizontal, interdisciplinary formation, which is most organic to me since my interests span a wide range of -- often intertwined -- topics. My core technical interests are within the grand areas: Artificial Intelligence, Pure & Applied Mathematics, Theoretical Computer Science, Complex Systems & Complexity Theory, and Network Science. I have an extensive mathematical background and solid programming experience. A driving problem that could be said to be the connecting thread between all of the aforementioned interests is that of further understanding "intelligence" as an emergent phenomenon that arises from the dynamics found within and between complex adaptive systems.

🤖 AI/ML Engineer specializing in Reinforcement Learning, Robotics Simulation, and Large Language Models. I help businesses implement cutting-edge AI technologies that deliver real-world results. With 18+ years of software engineering experience, 7+ years in AI/ML, and current research at PUC-Rio, I bridge the gap between advanced AI concepts and practical business applications. WHAT I DO BEST: - Reinforcement Learning and Robotics: Design and train RL agents (PPO, SAC, TD3, DDPG, DQN, TRPO) for robotic control using MuJoCo and Gymnasium. Currently researching interpretable control policies with LLMs at PUC-Rio, with 900+ experiments completed on SLURM-managed GPU clusters. - LLM Integration and Development: Build production-ready systems using GPT-4, Claude, Gemini, and custom LLMs with fine-tuning and RAG. Won the European Innovation Technology Award for a RAG system achieving 99% accuracy and under 2% hallucination. - AI Evaluation and Adversarial Analysis: Systematic benchmarking of frontier models (Claude, GPT-4, Gemini, Qwen) for code generation tasks. 13+ years as Court-Appointed Technical Expert conducting forensic analysis under adversarial scrutiny. - Computer Vision and Industrial AI: Real-time image processing and quality control for regulated environments. Zero downtime in 3.5 years running CV systems at 1000+ items/min in government fiscal compliance (SICPA). - Multi-Agent Systems: Design and orchestrate AI agent workflows using CrewAI and LangChain for automated task execution. PROVEN TRACK RECORD: ✓ European Innovation Technology Award for LLM-based RAG system (99% accuracy, under 2% hallucination) ✓ Zero downtime in 3.5 years running CV systems at 1000+ items/min (SICPA) ✓ 900+ RL experiments on SLURM-managed GPU cluster research ✓ 13+ years Court-Appointed Technical Expert for forensic analysis (TJRJ) ✓ Production LLM systems serving thousands of daily users ✓ MSc in AI at PUC-Rio (defense July 2026), starting Ph.D. in RL mid-2026 TECHNICAL EXPERTISE: Python (18+ years) | C++ | Reinforcement Learning (PPO, SAC, TD3, DDPG, DQN, TRPO) | MuJoCo | Gymnasium | Stable-Baselines3 | PyTorch | LLMs (GPT, Claude, Gemini, Llama) | RAG | LangChain | CrewAI | Computer Vision | Azure AI | AWS Bedrock | Multi-Agent RL | SLURM | ROS2 WHAT SETS ME APART: I combine deep theoretical understanding with battle-tested production experience. My work spans from embedded systems in defense (Brazilian Navy) to award-winning AI systems in regulated industries. I document rigorously, review code for security gaps, and deliver solutions that work reliably at scale. Available for projects of all sizes. Let's discuss how AI can transform your business.

As a software engineer with over 10 years of experience, I have worked with innovative projects in various domains and platforms, such as embedded systems, automation, robotics, microservices, low latency, high throughput systems, and point-of-sale terminals. I have used modern technologies and best practices, such as Java, C#, Dotnet Core, MSSQL, Redis, Azure, Docker, Github Actions, Linux, Windows, infrastructure as code, and object-oriented programming to design, develop, and deliver high-quality solutions that meet the needs and expectations of the clients and users. I have also contributed to the technical discussions, teaching, and guidance of my coworkers and partners, sharing my knowledge and skills in software engineering, and learning from their feedback and insights. I have a strong background in computer engineering and computer systems networking and telecommunications, as well as multiple certifications in entrepreneurship, intellectual property, and information technology. I have also researched embedded systems, automation, and robotics, demonstrating my passion and curiosity for these fields. My mission as a software engineer is to create innovative and impactful solutions that can improve the lives and experiences of people and organizations, using the latest technologies and methodologies, and collaborating with talented and diverse teams. I am always eager to learn new skills, explore new challenges, and expand my domain expertise. I am looking for opportunities to apply my software engineering skills and knowledge in new and exciting contexts and environments.