Javier Gil

AI Engineer specializing in delivering agentic solutions and ML pipelines for demanding companies, both as a technical leader and an individual contributor. Expert in Python, FastAPI, Celery/Redis orchestration, and deployment on Azure, Databricks, and AWS with autoscaling. Designs pragmatic RAG architectures, adding automated evaluation, observability, and latency/cost optimization for Data and AI products. Co-founded a consultancy to identify business opportunities through AI, achieving high financial impact and customer satisfaction from the start. Served as AI Technical Lead for the real estate sector, automating appraisals with parallel agent systems and OCR, disruptively reducing validation times and increasing operational capacity. In the airport sector, delivered real-time ML analytics for critical operations across 46 airports, managing the full cycle from data engineering to stakeholder reporting. Additionally, launches technical products for founders on Product Hunt and deploys robust, scalable APIs focused on growth. My profile combines proven experience in MLOps (Azure, Databricks, Docker, CI/CD, Kubernetes), vector databases (FAISS, Qdrant, PGVector), technical leadership, and a direct focus on delivering value in remote and distributed teams.