About

Julian Gerald Dcruz is an accomplished Senior AI Engineer, Lead Researcher, Senior Software Engineer, CTO, and Co-Founder with extensive experience in designing and developing production-ready AI solutions for global technology companies in Japan, Taiwan, and the USA. He has worked with technology startups and research institutions across the globe. Julian's expertise includes data science, feature engineering, deep learning, computer vision, and machine learning. He has built ML-Ops Pipelines using Kubeflow, kubectl, and AWS Sagemaker, and is proficient in Python, Node-JS, Electron-JS, React-JS, and React Native. Julian is also skilled in TensorFlow, PyTorch, CUDA, and OpenCV, and has experience working with AWS, DigitalOcean, and Google Cloud Platform (GCP). He is proficient in SQL, Firebase, and MongoDB, as well as Apache, Nginx, and web hosting. Julian is skilled in Git, Linux, Shell Script, and Build-root. Currently, Julian is serving as the Chief Technology Officer at docsun computation medlab, where he is heading the Research Team in managing new research and improving ongoing research solutions in AI for Non-Invasive Research. He coordinates with the Research Team in designing and developing models and workflows to build more feasible models that concur with the research objectives. Julian guides the Technical Development team and Product Development Team on the usage and code flow of the research solution for the desired POC. He also guides with documentation of records for IPO, ISO, and FDA requirements and coordinates with Clinical Trial Research Teams on objectives for clinical trial and usage of POC. Julian coordinates with the APAC team for major issues, new research objectives, and ongoing research solutions for POC. Julian's past experience includes serving as an AI Research Scientist and Co-Founder at docsun computation medlab, where he worked directly with the CPO to ensure the research and development team was in sync. He coordinated with the AI Research Team, prepared and provided substantial material to validate the algorithms, trained and developed interns for data handling tasks, found and applied for new grants to support the research, and prepared and assigned material for patent and research paper publication. Julian worked closely with the Development Team to develop the research into a stable product, drew out Design flows and Control Flows for the Research adaptation to the product, and drew out API workflows and issue tracking for the development. He also coordinated with the CPO and MD on new research