Summary
Tiger Ren is a Data Scientist and AI Engineer with nine years of experience building production ML systems, currently designing AI solutions at Intact after leading ML development for scanned medical documents at Wisedocs.ai. He specialises in multimodal transformer architectures, RAG/LLM pipelines, and document segmentation/classification, with measurable improvements (30–50%+) in accuracy from model and data-centric interventions. Comfortable bridging clinical subject-matter experts and engineering teams, he combines hands-on PyTorch engineering, pipeline orchestration (Ray Serve, DuckDB), and heuristic-led postprocessing to deliver human-level performance for tasks like antigen kit and medical form understanding. His background spans audio and visual recognition, sequence mining for churn/persona modeling, and early work in reinforcement and capsule networks, reflecting deep research-to-production fluency. Trained at University of Cincinnati and USTC, he emphasises data preparation and sampling strategies as the key to robust model performance.
8 years of coding experience
18 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Cincinnati
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of Science and Technology of China
English, Chinese, Chinese