Summary
Lucas Garay is an Analytics Associate with eight years of cross-disciplinary experience applying machine learning, computer vision, and data engineering to high-stakes domains including mining, healthcare, and insurance risk. He has led R&D projects from prototype to production—building YOLO-based diagnostic tools, LLM/RAG chatbots for public health, and ML models for climate-driven catastrophe modeling—while improving model performance and operational workflows. Comfortable in both field-facing mining roles (short-term mine planning, geomatics, project control) and cloud-native AI stacks (FastAPI, LangChain, AWS, Vercel), he bridges domain expertise with practical deployment skills. Based in Hong Kong and trained in Big Data & Health Science at Zhejiang University, he combines a proactive, innovation-driven mindset with a track record of automating complex operations and mentoring cross-functional teams. An often-overlooked strength is his multilingual, multicultural background and hands-on mining experience, which give him a rare ability to translate domain problems into scalable data solutions.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Computer Science - CS, Computer Science, GPA: 8.25/10, Bachelor of Computer Science - CS, Computer Science, GPA: 8.25/10 at Universidad Nacional de Córdoba
Chinese Language and Culture, Chinese Studies, Chinese Language and Culture, Chinese Studies at Nanjing University
Master, Big data & health science, Master, Big data & health science at 浙江大学
Language program, Chinese Language and Literature, Language program, Chinese Language and Literature at Zhejiang University
Courses, AI, Courses, AI at 동서대학교
English, Chinese, Spanish