Andrea Baresi Email & Phone Number

➤ Specialties—My areas of expertise include:Software and algorithm design, advanced data structures, domain and application engineering, product development, concurrent systems, scalability, information architecture, system and process modeling, cloud and serverless computing, microservices and service-oriented architecture, API design and development, RESTful architectural style, web application framework development and use (Flask, FastAPI), real-time communication (SSE, WebSocket, WebRTC), infrastructure automation (Terraform, Ansible, CloudFormation), mobile applications (Android, iOS), frontend frameworks (Svelte, htmx) and libraries (Web Components, React, jQuery), Responsive Web Design, Progressive Web App (PWA), SPAs, Service Workers, WebAssembly, 2D/3D web animation (SVG, D3, canvas), HTML5, CSS, UI design, user experience, human-computer interaction, conversational UI, GUI (Qt, wxWidgets), reactive programming, OpenGL, WebGL, WebGPU, SDL, build tools (Make, Maven, Gradle), distributed source/version control (git, hg), continuous integration and delivery (CI/CD using various pipeline and workflow systems), Node.js, instrumentation, testing, frontend testing/automation (Mocha, Playwright, Puppeteer, Cypress, Selenium), software deployment strategies, software automation (Jenkins), software reliability, Linux systems administration, web ops, Nginx, containers (Docker, Podman), Kubernetes, AWS (EC2, ECS, ECR, S3, Lambda, Elastic Beanstalk, Lightsail), Google App Engine, Firebase, Azure, Fly, TCP/IP networking, messaging middleware and transport (ØMQ, MPI), interface description languages (Thrift), DBMS (MySQL, PostgreSQL), embedded systems, IoT, Android Things, mesh networks, security, cryptography, information privacy, performance metrics, information retrieval, Elasticsearch, Solr, Apache Kafka, data visualization (matplotlib, seaborn, Altair), computational statistics, spreadsheet (Excel) and interactive computing/notebooks (Jupyter), machine learning (scikit-learn, NumPy, pandas, PyTorch, TensorFlow/Keras), natural language processing - NLP (spaCy), question answering, computer vision, deep learning models, Transformer models (OpenAI GPT, Gemini, Claude and Llama models), advanced prompt engineering, DSPy, Hugging Face tools, llama.cpp, embedding techniques, semantic retrieval, retrieval-augmented generation (RAG), use of large language models (LLM) in data processing, LLM-based applications architectures.Deep knowledge and extensive practice of Python, JavaScript, Go, C, C++, Java, PHP, and SQL.

Listed skills include Python, Javascript, Java, Web Applications, and 46 others.