- Over the course of more than 30 years of my career, I started out as a backend engineer and software architect, designing and scaling high-performance technological solutions. That base led me to lead product creation areas, where I combined technical and strategic vision to drive innovation. In recent years, my career has evolved into data science, leading teams and contributing directly to the development of biomathematic and machine learning models aimed at understanding human biological processes, especially those related to fatigue in the mining and hazardous cargo industry. This technical and leadership experience was the gateway to a deeper dive into the world of NLP and advanced artificial intelligence models, a field on which I am now fully focusing through Dolfs AI to create sophisticated and high-impact solutions.
- Natural language processing: vectorization/embedding, clustering, text, NER, sentiment analysis, generative language models,.
- Call Index, vector database, ReAct agents, Langchain.
- Server infrastructure for generative models and GPU inference cluster.
- Machine learning: Python, PyTorch, Nvidia Rapids, Scikit-Learn
- Client/Server Application Design with Java technology.
- Design of streaming and distributed computing platforms with tools such as Apache Spark, Apache Ignite and Apache Kafka, and other similar tools.
- Software architecture oriented to real-time computing, streaming and big data solutions
- Design/integration of real-time telemetry and monitoring systems, real-time databases (Firestore).
- SQL/NOT-SQL
- Infrastructure based on Debian Linux servers.
- Fullstack .net core application design Razon/Blazor
- middleware design/architecture patterns, agents, microservices, distributed computing and eventstore, CQRS.
- UHF, HF, LF RFID hardware.
- Client/Server application design with .Net core technology
- Data analysis with python.