Summary
Joshua Ji is an AI Engineer with nine years of technical experience, currently completing an M.S. in Data Analytics Engineering at Northeastern and working at CLSA. He blends practical software engineering (Java, Kotlin, Android) with applied data science and ML—having led projects from a top-ranked Kaggle model to a ResNet-50 crack detection pipeline and an interactive COVID dashboard built from tens of millions of records. Comfortable across databases (MySQL, PostgreSQL, MongoDB, Oracle) and visualization stacks (R Shiny, ggplot2, D3.js, Leaflet), he translates messy, large-scale data into production-ready insights. Joshua is a collaborative team player who seeks advice and lifts others’ work, and he moves quickly from prototyping to deployable systems. Unusually for an engineer with strong ML credentials, he brings domain grounding in geography/GIS, enabling spatially aware analytics and mapping-focused applications. Based in Hong Kong, he combines cross-cultural research experience with hands-on implementation across mobile, backend, and data platforms.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Geography with Data Science Geographic Information System, Bachelor of Arts - BA Geography with Data Science Geographic Information System at University of Washington
Master of Science - MS Data Analytics Engineering, Master of Science - MS Data Analytics Engineering at Northeastern University
Chinese, English, Chinese