Tech Lead, Generative AI

I am a Tech Lead and AI R&D Specialist with more than 5 years of experience in software engineering and machine learning. My work focuses on designing, benchmarking, and deploying production-grade Generative AI systems that create measurable business impact.

I specialize in low-latency multi-agent voice systems, Speech-to-Speech architectures, Retrieval-Augmented Generation (RAG), and high-throughput model hosting. I have hands-on experience with leading tools and frameworks such as vLLM, LangChain, PyTorch, TensorFlow, OpenWebUI, and faster-whisper.

In my recent roles at Claro Brasil, I led the development of real-time AI systems using GPT Real-Time APIs and multi-cloud deployments across AWS Bedrock, Azure AI Foundry, and GCP Vertex AI. I also worked on state management, interruption handling, multi-agent orchestration, and multi-GPU inference pipelines.

As an AI R&D Specialist, I designed automated benchmarking pipelines for frontier open-weight and proprietary models, comparing latency, throughput, safety, and cost. I also built deterministic agentic workflows and enterprise RAG solutions that improved retrieval quality and reduced hallucinations.

Earlier in my career, I worked as a Data Scientist and Software Engineer at AXONDATA, where I developed end-to-end data pipelines and machine learning models for text classification, NER, sentiment analysis, and scalable data processing. This gave me a strong foundation in applied AI and production engineering.

I also have a strong academic background, including a Master’s degree in Electrical and Computer Engineering and research in NLP and topic detection. My thesis work was cited in an IBM US patent, reflecting the practical relevance of my research contributions.