Adrián Velasco

Design and implemented MCP Servers.

Implemented RAG solutions using AWS vector database OpenSearch.

Generate PDF and PPTX documents from markdown text.

Support in the technical decision making

Implemented Generative AI solutions using LLMs.

Analyzed customer satisfaction from calls stored in bucket and deployed solution in a Docker container on cloud (CloudRun).

Developed web scraping tools with Selenium Python library to automatically gather useful information from websites.

Built APIs in FastAPI for product search using Retrieval Augmented Generation (RAG) with vector database (Qdrant) and LLM (Gemini).

Created chatbot with memory and agentic behavior using LLM.

Frontend with Streamlit and backend with FastAPI.

No-SQL database for chat history.

Designed and implemented SQL queries in BigQuery to extract insights and carried out exploratory data analyses to dive deep into the datasets.

Provided beginner-level Python programming classes remotely.

Guided people towards their goal, structure the way they think and make them passionate about Python.

Improved soft skills, including commnication, leadership and motivation.