I prefer to work with Python, PHP, and JavaScript (Node.js), but consider myself language agnostic. I've worked in several projects with Go, Java or C. 

Using Bitbucket, GitHub or GitLab, integrated with CI/CD pipelines. For machine learning, I prefer Kubeflow. Terraform would be my choice for Infrastructure-as-Code setups.

I've developed dozens of projects based on WordPress, Joomla, Drupal, Typo3, Magento, Shopify and led the development of a proprietary CMS.

Experienced with n8n and Make for workflow automation and process orchestration. Focus on integrating APIs and automating data pipelines, with minimal overhead.

My to-go-frameworks are FastAPI, Django, Laravel and Lumen with React and Vue.js for the frontend. In earlier days I worked with Symfony, CakePHP, Angular, etc.

My experience mostly evolves  around SQL, in-memory databases (Redis, Memcached, etc.), and vector stores. Less frequently, I'd go for NoSQL options.

Full-stack experience from data engineering to model development, using XGBoost, TensorFlow, and Keras. Experienced in building ML pipelines using MLOps practices.

I build ETL pipelines with BigQuery, Dataproc, Kafka, and distributed data processing. For LLM-based applications, I work with vector stores (Pinecone, FAISS, etc.).

Most of my projects run on cloud environments, in the first place Google Cloud and AWS. I'm experienced with Kubernetes  and serverless architectures.

I've worked with various software for message brokers, queue systems, search systems and others. RabbitMQ, SQS, Kafka, Lucene, just to name a few of them.

Proficient in LLMs, RAG, and AI-driven applications, using Hugging Face and LangChain. Experience with vector databases (Pinecone, Weaviate, FAISS) and LLMops.

My focus lies on REST and GraphQL APIs, often based on a Microservices architecture and API Gateways. I also still know some SOAP and XML-RCP :)