Jie Gao is a Senior NLP Researcher based in London with 11 years of hands-on industry experience and over 18 years working across academia and applied AI. He designs and ships large-scale, knowledge-intensive AI systems—LLMs, knowledge graphs and multimodal pipelines—that power decision support, semantic search and misinformation detection for enterprise and financial domains. A pragmatic researcher-engineer, Jie has published in top venues (AAAI, ICLR, KDD) while translating PhD-level innovations into production using PyTorch, TensorFlow, Hugging Face and cloud-native CI/CD practices. He has led cross-functional teams and mentored engineers on human-and-model-in-the-loop workflows, combining graph databases, CUDA-accelerated models, and OSINT methods to automate evidence retrieval and fact-checking. Notably, Jie moved from academic projects (early rumor detection, Europeana search services) to architecting agentic LLM systems for asset and wealth management, showing a rare ability to bridge scientific rigor with operational impact.
11 years of coding experience
17 years of employment as a software developer
BSc (Hons) Computer Science and Technology, BSc (Hons) Computer Science and Technology at Yancheng institute of technology
GoodAgile
Msc (Graduated with Merit) Web Technology-Computer Science, Msc (Graduated with Merit) Web Technology-Computer Science at University of Southampton
PhD candidate (part-time) Computer Science, PhD candidate (part-time) Computer Science at The University of Sheffield
CMI Level 5 in Management, CMI Level 5 in Management at Ashorne Hill Management College
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