Summary
Ji Lucas is a senior research software engineer with 12 years of experience translating academic research into production-ready prototypes and services, currently based in Chicago and working at Qatar Computing Research Institute. He has led end-to-end ML projects from pretraining LLMs on A100/H100 and fine-tuning Llama-family models to deploying Arabic-focused applications like Fanar, alongside diverse computer vision, RL, and anomaly-detection systems. Ji combines deep technical skills in PyTorch, TensorFlow, transformers, GIS and big-data frameworks with product-minded engineering—designing scalable pipelines, private dataset workflows, and real-time crisis data integrations. His background spans geospatial and emergency-response systems, enterprise testing platforms, and collaborative research with partners such as MIT CSAIL, demonstrating an ability to bridge academia, industry and humanitarian use cases. Notably, he has built production translation pipelines for Arabic contexts and architected cross-platform analytics frameworks (Rheem) that emphasize usability across domains. Colleagues rely on him to turn complex scientific discovery into tangible, user-facing solutions.
12 years of coding experience
11 years of employment as a software developer
• Master of Science in Information Systems, Information Systems, • Master of Science in Information Systems, Information Systems at DePaul University