I'm an Engineer and Developer working as a freelancer. My journey started in the aerospace industry, where I refined my skills in industrialization and project management. Driven by curiosity, I transitioned into data science and software development to create impactful, scalable solutions that drive real-world impact and innovation.
I design and implement scalable, data-driven, and AI-powered solutions, combining strong engineering foundations with advanced machine learning capabilities.
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Data Science, Machine Learning & Deep Learning: applied machine learning (classification, survival models), NLP (SpaCy, Transformer-based models), Neural networks (LSTM, CNN, ResNet with Tensorflow, Pytorch) and interactive data visualization (Matplotlib, Seaborn, Plotly).
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AI & Autonomous Agents: development of AI agents and LLM-based applications, leveraging frameworks for RAG implementation, custom chain-of-thoughts design and integrating tools with MCP Servers.
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Data & Cloud Engineering: building robust data pipelines and real-time processing platforms with tools like Apache Spark, Kafka, and Elasticsearch. Experienced in deploying services on AWS, Azure, GCP, and Hugging Face.
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DevOps & Backend Development: implementation of CI/CD pipelines (GitHub Actions, Docker), API integration, and database management (PostgreSQL, Neo4j, MongoDB, ChromaDB).
I'm always excited to connect with others who are passionate about tech and innovation. Whether you're interested in collaboration, exploring new ideas, or just sharing insights, let’s connect!
Fun Fact: I'm a huge fan of Formula 1 and aerospace in general. I love the thrill of speed and the precision of engineering that goes into creating these incredible machines.