Xiaojian Deng is a Senior Software Engineer specializing in AI and data engineering with a decade of experience blending machine learning, quantitative finance, and practical automation. He builds end-to-end, high-leverage systems—particularly applied LLM workflows, RAG pipelines, and generative model tooling—that turn messy document and content problems into reliable, user-friendly products. Past roles include deploying robust RAG and document-matching systems for financial workflows, prototyping fraud detection with high recall in insurance, and fine-tuning models to run on constrained hardware. He pairs strong hands-on engineering (from model training and evaluation to production inference) with a knack for simplifying complex processes for non-technical users. Notably, he has driven creator-focused ML products that reached top revenue tiers and has adapted reinforcement and ensemble methods for live trading and risk systems. Based in Boston, he combines academic depth in computational engineering and financial engineering with a practical, results-oriented approach to applied AI.
10 years of coding experience
15 years of employment as a software developer
BS Computational Engineering Science, BS Computational Engineering Science at University of California, Berkeley
Nanodegree Machine Learning, Nanodegree Machine Learning at Udacity
MS Financial Engineering, MS Financial Engineering at Drucker School of Management
Exchange Student Finance, Exchange Student Finance at University of Lausanne - UNIL
MS Applied Science, MS Applied Science at University of California, Davis
Detect faces and cache them in the image EXIF for easier and faster retrieval! Plus wrappers for OpenCV and Dlib and various scripts and classes to make facial recognition easier.
Contributions:388 commits, 2 PRs, 355 pushes in 3 years 6 months
Contributions:17 commits, 14 pushes, 1 branch in 11 months
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Xiaojian Deng - Senior Software Engineer - AI & Data Engineering