Summary
Camilo Laiton is a Computer Vision Engineer with eight years of experience, currently building large-scale light-sheet image processing pipelines at the Allen Institute for Neural Dynamics. He combines a strong academic background—MSc with honors focused on attention-based MRI brain segmentation and a summa cum laude B.S.—with hands-on production work in retrospective flatfield correction, atlas registration, cell segmentation and large-scale RNA detection on datasets from hundreds of GBs to many TBs. Comfortable across cloud (AWS), HPC, and Code Ocean environments, he has developed tools for OME-Zarr conversion, stitching error estimation, and automated segmentation workflows that bridge research and scalable data engineering. Earlier roles include geoscientific data lake engineering, simulation software using evolutionary algorithms for multimodal transport, and deploying bioimage tools on Linux, reflecting a rare blend of academic research and practical systems delivery. Based in Seattle, he brings deep domain expertise in microscopy image processing and a knack for turning complex neuroimaging research methods into robust, production-ready software.
8 years of coding experience
3 years of employment as a software developer
Maestría en Ingeniería de Sistemas, Sistemas e Informática, Maestría en Ingeniería de Sistemas, Sistemas e Informática at Universidad Nacional de Colombia
Ingeniería, Ingeniería de sistemas, Ingeniería, Ingeniería de sistemas at Universidad del Magdalena
English, Spanish, French