Alejandro Avila-ortiz

Independent Software And AI Consultant at Self-employed

Toulouse, Occitania, France
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Summary

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Alejandro Avila-ortiz is an independent Software and AI consultant based in Toulouse with 10 years of experience building full-stack and generative AI applications. He designs and deploys LLM-powered chatbots, multi-agent systems, and backend APIs (FastAPI) on AWS and GCP, while adapting tech stacks to client constraints. His background spans React/Node.js and PostgreSQL work for enterprise clients like Airbus, to PHP/Laravel and WordPress projects for smaller customers, giving him both product- and ops-minded engineering instincts. An active educator on GitHub, he publishes tutorials and a LangChain-based app that enables conversational access to multiple PDFs, showcasing practical expertise in embeddings, vector stores, and Streamlit UIs. Comfortable with containerized deployments (Kubernetes/OpenShift) and SQL optimization, he blends hands-on implementation with a knack for translating AI capabilities into usable tools.
code10 years of coding experience
job4 years of employment as a software developer
bookUndergraduate's Degree, French Language and Literature, Undergraduate's Degree, French Language and Literature at University of Lille 1 Sciences and Technology
bookMaster of Science - MS, Artificial Intelligence & Business Analytics, Master of Science - MS, Artificial Intelligence & Business Analytics at TBS Education
bookDEUG Mathematics, Mathematics, DEUG Mathematics, Mathematics at Université de Lille
languagesSpanish, French, English, German, Portuguese
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Github Skills (10)

streamlit10
openai10
faiss10
python10
pdf-parsing10
langchain10
natural-language-processing9
conversational-ai9
vector-database9
nlp9

Programming languages (4)

JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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A Langchain app that allows you to chat with multiple PDFs
Role in this project:
userFull-stack Developer
Contributions:2 PRs, 3 pushes in 1 month
Contributions summary:Alejandro primarily focused on building a chat application that interacts with multiple PDFs. Their contributions involved implementing features for PDF text extraction, chunking, and embedding using Langchain. They integrated OpenAI embeddings for creating a vector store and designed the user interface with Streamlit. The user also added conversation history and memory features for a better user experience.
langchain
alejandro-ao/alejandro-ao

Nov 2022 - Jun 2026

Contributions:70 pushes, 1 branch in 3 years 8 months
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