Summary
Felipe Da Silva is an AI Solutions Engineer with eight years of hands-on experience building cloud-native, low-latency systems and production-grade AI pipelines. He blends systems-level engineering—Rust and Go backends, Kubernetes/ECS orchestration, Terraform—with applied ML work like LoRA/QLoRA fine-tuning, agentic RAG pipelines, and vector-database retrieval for reliable autonomous reasoning. Felipe has a track record across startups and consultancies (including Kake, X-Team, Accenture and blockchain work at Tokenizer), shipping both embedded IoT firmware and scalable server-side services. He’s an active open-source practitioner — authoring tools like Terrastrator and toy projects such as Emberblast — and brings a pragmatic focus on observability, CI/CD and error-resilient multi-step reasoning. Colleagues know him for combining deep technical breadth with strong communication and cross-functional delivery skills, and for approaching problems with a continuous-learning mindset forged by an electrical engineering background.
8 years of coding experience
9 years of employment as a software developer
Chemistry Technician, Chemistry, Chemistry Technician, Chemistry at Escola Técnica Estadual Conselheiro Antônio Prado
Bachelor of Electrical Engineering , Electrical Engineering, Bachelor of Electrical Engineering , Electrical Engineering at UEL - Universidade Estadual de Londrina
English, Portuguese, Spanish, Italian, Japanese