Open to opportunities

Juan Diego Zambrano Triviño

@juandiegozambranotri

Message

AI Engineer building production LLM, RAG, and agent systems—scalable, real-time, cost-efficient.

Colombia

Message

What I'm looking for

I want to build and deploy production LLM/RAG and agent systems end-to-end—owning architecture, evaluation, and real-time interactions while optimizing cost and performance with strong MLOps in cloud environments.

I’m an AI Engineer specialized in production LLM systems, RAG architectures, and AI agents. I focus on scalable, context-aware AI that performs reliably in production, with strong attention to performance optimization and cost-efficient architectures.

As Lead AI Engineer for Odoo Tutor, I designed the enterprise AI architecture powered by production LLM and RAG pipelines. I led scalable vector retrieval systems, real-time user interaction tracking, automated evaluation workflows, and the deployment of AI services across cloud environments.

Previously, I built AI automation agents at Impresistem S.A.S that reduced manual operational work by integrating LLM pipelines with internal data sources. I improved sales and service response efficiency by 35% through AI triage, reduced inventory discrepancies by 30%, and also supported data engineering/analytics work using Python models and Amazon SageMaker for predictive workflows and real-time inference.

Experience

Work history, roles, and key accomplishments

Current

Lead AI Engineer

Current

Odoo Concept

Feb 2025 - Present (1 year 4 months)

Led the architecture of Odoo Tutor, an AI learning platform using production LLM and RAG pipelines. Built scalable vector retrieval, real-time interaction tracking, and automated evaluation/deployment of AI services on cloud infrastructure.

RAG Architecture fastAPI Google Cloud Platform PostgreSQL ChromaDB OpenAI API MLOps

AI Developer

Impresistem S.A.S

Jan 2023 - Feb 2025 (2 years 1 month)

Built context-aware AI automation agents using LLM pipelines and RAG to retrieve internal knowledge and execute workflows. Reduced manual cross-department workload by 45%, improved sales/service response efficiency by 35%, and lowered inventory discrepancies by 30%.

AI Agents LLM LlamaIndex AWS OpenAI API SQLAlchemy React

Data Scientist

SENA

Jan 2022 - Jan 2023 (1 year)

Provided data engineering and analytics support by optimizing SQL databases, improving data integrity, and building Python models for forecasting and operational insights. Integrated Amazon SageMaker for training and deployment, including real-time inference endpoints for actionable operational workflows.

Data Engineering SQL Python Pandas scikit learn MySQL Amazon SageMaker Forecasting Azure Data Integrity

Python Developer

ENEL

Mar 2019 - Sep 2019 (6 months)

Developed Python tools to improve operational data processing and built predictive ML workflows using Amazon SageMaker. Created a management application that improved data process efficiency by 40% and deployed real-time inference endpoints to support actionable analysis.