Di Wu

New grad in May 2023. Major in computer science for Master's in Columbia University and Bachelor's in Zhejiang University.

Microsoft (China) Co., Ltd Suzhou, China

Back End Engineer Intern Jun 2020 - Sep 2020

• Cooperated in group concentrating on developing Caffeine, studied features, strengths, bottleneck of high performance, near optimal caching library based on Java 8

• Investigated efficient cache elimination algorithms for improvement in cache loading, elimination strategy,

asynchronous refresh function and clearing policy, making 6% improvement in efficiency

• Constructed read & write policies of Caffeine Cache according to archetypal LRU, W-Tiny LFU, etc.

SKYON Technologies Co., Ltd Shanghai, China

Machine Learning Engineer Intern Mar 2020 - May 2020

• Created value in algorithm group by implementing ML algorithms (Random Forest, Isolated Forest, K-means, etc.) to recognize clients suspected of involving transaction fraud by data of multi-dimension features

• Applied graph algorithm to further find out possible criminal association by suspected users, improving 28%

correction; improved correct rate by 60% by all algorithms in total

• Presented weekly in meetings to team manager about applied design thinking and developments; assisted to report and display product design to client

China Soft Fintech Co., Ltd Shanghai, China

Assistant Engineer Intern Jul 2019 - Sep 2019

• Took part in agile development for a scalable security platform for clients in financial industry, including unified

login and entries for daily maintenance on website according to identical authority

• Utilized Java and JavaScript to develop event driven framework of website platform, taking 1700+ lines of code

Columbia University New York, NY

M.S. in Computer Science Expected May 2023

• Relevant Courses: Cloud Computing and Big Data, Deep Learning for Computer Vision, Engineering Software-as-a-

Service, Natural Language Processing, Analysis of Algorithms, Artificial Intelligence

• GPA for Latest Semester: 4.0/4.0 (4 courses)