Summary
Adrian Garcia is an applied scientist with 11 years of experience building multimodal AI systems, currently developing an agentic LLM pipeline that handles both text and visual inputs. His work blends academic rigor—earning a PhD and publishing CVPR'24—with hands-on product engineering, from deploying models on Hugging Face and Baseten to optimizing ingestion pipelines in Airflow. He has deep NeRF and computer vision expertise, including novel NeRF recoloring and segmentation techniques and activation-space analyses of Instant-NGP. Adrian also brings systems and backend chops from database benchmarking and Linux scheduler research, enabling performance-minded model engineering. He mentors cross-functional teams and leverages synthetic data, SAM, and open CLIP fine-tuning to measurably improve retrieval and embedding quality. Based in Abu Dhabi, he seeks technically interesting challenges where research-grade approaches produce real-world impact.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Universidad Complutense de Madrid
Spanish, English, Hindi