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Hi, I’m Guillermo López, an Applied AI Engineer specializing in building LLM-powered applications, retrieval-augmented generation, and production-ready AI features that fit real business workflows. I design grounded, source-backed responses and reliable systems, combining Python, LangChain, OpenAI integrations, and full-stack development to deliver practical AI in fintech, ecommerce, and data-driven products. Over the past few years I’ve built and deployed RAG chatbots, backend APIs, and AI tooling for teams at startups and research groups. My work blends machine learning, NLP, and software engineering to connect data with intelligent interfaces, ensuring maintainable code, robust testing, and a user-friendly experience for non-technical users.…Hi, I’m Guillermo López, an Applied AI Engineer specializing in building LLM-powered applications, retrieval-augmented generation, and production-ready AI features that fit real business workflows. I design grounded, source-backed responses and reliable systems, combining Python, LangChain, OpenAI integrations, and full-stack development to deliver practical AI in fintech, ecommerce, and data-driven products. Over the past few years I’ve built and deployed RAG chatbots, backend APIs, and AI tooling for teams at startups and research groups. My work blends machine learning, NLP, and software engineering to connect data with intelligent interfaces, ensuring maintainable code, robust testing, and a user-friendly experience for non-technical users.

Guillermo López

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Guillermo López, an Applied AI Engineer specializing in building LLM-powered applications, retrieval-augmented generation, and production-ready AI features that fit real business workflows. I design grounded, source-backed responses and reliable systems, combining Python, LangChain, OpenAI integrations, and full-stack development to deliver practical AI in fintech, ecommerce, and data-driven products. Over the past few years I’ve built and deployed RAG chatbots, backend APIs, and AI tooling for teams at startups and research groups. My work blends machine learning, NLP, and software engineering to connect data with intelligent interfaces, ensuring maintainable code, robust testing, and a user-friendly experience for non-technical users.…Hi, I’m Guillermo López, an Applied AI Engineer specializing in building LLM-powered applications, retrieval-augmented generation, and production-ready AI features that fit real business workflows. I design grounded, source-backed responses and reliable systems, combining Python, LangChain, OpenAI integrations, and full-stack development to deliver practical AI in fintech, ecommerce, and data-driven products. Over the past few years I’ve built and deployed RAG chatbots, backend APIs, and AI tooling for teams at startups and research groups. My work blends machine learning, NLP, and software engineering to connect data with intelligent interfaces, ensuring maintainable code, robust testing, and a user-friendly experience for non-technical users.

Available to hire

Hi, I’m Guillermo López, an Applied AI Engineer specializing in building LLM-powered applications, retrieval-augmented generation, and production-ready AI features that fit real business workflows. I design grounded, source-backed responses and reliable systems, combining Python, LangChain, OpenAI integrations, and full-stack development to deliver practical AI in fintech, ecommerce, and data-driven products.

Over the past few years I’ve built and deployed RAG chatbots, backend APIs, and AI tooling for teams at startups and research groups. My work blends machine learning, NLP, and software engineering to connect data with intelligent interfaces, ensuring maintainable code, robust testing, and a user-friendly experience for non-technical users.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

AI Engineer at AICartify

April 1, 2024 - Present

Built LLM-powered RAG features for an e-commerce platform to improve product understanding, customer question answering, and AI-assisted user interactions. Developed context-aware AI chatbots that connect product data, user queries, and backend logic to deliver more accurate responses. Integrated AI models with backend systems using Node.js, REST APIs, and production-oriented API workflows. Improved chatbot response quality through prompt refinement, retrieval testing, iterative evaluation, and system optimization. Collaborated on scalable AI feature development with a focus on usability, reliability, and practical business value.

ML / AI Engineer at ResearchGate

October 1, 2022 - March 1, 2024

Developed machine learning models for prediction, analytics, classification, and recommendation use cases using Python and Scikit-learn. Built PyTorch-based solutions for model experimentation, classification workflows, and recommendation logic. Designed and improved model evaluation workflows to increase accuracy, performance, and reliability. Created backend APIs using Node.js and Express.js to support ML model access and application integration. Supported deployment, testing, tuning, and debugging of AI/ML features in production-style environments.

Junior ML / AI Developer at Self-Employed

October 1, 2020 - August 1, 2022

Supported machine learning, NLP, data preprocessing, and AI automation workflows for practical business use cases. Assisted with model debugging, testing, evaluation, and improvement for existing AI and software systems. Built small AI prototypes, data workflows, and backend integrations using Python, JavaScript, and APIs. Helped connect AI features with web applications and backend systems for usable client-facing solutions.