Lubin QU (Michael)

415-***-**** adzkbk@r.postjobfree.com linkedin.com/in/michaellubinqu github.com/michael-qu EDUCATION

M.S. in Computer Science, New York University (GPA: 3.93/4.00) May 2023

Graduate Course Assistant in CS Bridge Program, teaching C++, Data Structures & Algorithms for 200+ students M.Eng. in Engineering, National University of Singapore (GPA: 4.50/5.00) Mar 2018 B.Eng. in Civil Engineering (Minor in Mathematics), Tongji University (GPA: 4.58/5.00) Jul 2015 WORK EXPERIENCE

Mercury Systems, Inc. – Java Full Stack Developer Intern, Princeton, NJ Jun 2023 – Present

Spearhead the end-to-end creation of an online NFT marketplace, enabling seamless trading between artists and collectors

Develop a comprehensive solution by crafting RESTful microservices with Java Spring Cloud, construct an interactive frontend using React, and architect robust SQL/NoSQL databases deployed on AWS to serve different microservices

Manage the agile development process utilizing Jira, enabling the team to deliver iterative and valuable results while maintaining flexibility to adapt to changing requirements GlobalFoundries Inc. – Machine Learning Engineer Intern, Malta, NY Jul 2022 – Aug 2022

Developed a Convolutional Neural Network (CNN) model for Optical Proximity Correction (OPC) hot spot detection which could potentially save US$1M per month by improving the yield on high-running products, and provided simulation forecast of weak points which could save 4~8 months of mask respin validation

Tuned the CNN model using Keras in Tensorflow and performed feature extraction for more than 150k images

Proposed the extended CNN model to localize the predicted hotspots on a larger clip using sliding window algorithm and clustering algorithm, as well as deployment strategy on AWS SageMaker for parallel computing Geoconsult Asia Singapore Pte Ltd / Gammon Pte Ltd – Structural Design Engineer, Singapore Sep 2017 – Jun 2021

Provided design analysis and tech solution for 6 tender projects with an average bidding price of S$356M (US$264M)

Created and updated 50+ automated tools using VBA scripts to incorporate real-time data with standardized design software, resulting in an increase in productivity by reducing ~40% labor costs SELECTED PROJECT EXPERIENCE

Full Stack Web Application for To-do Management (JavaScript, Java) Oct 2022 – Dec 2022

Developed a to-do web application allowing users to log in and manage their own personal schedule

Built the frontend using JavaScript (jQuery, Ajax), HTML and CSS, backend server in Node.js Movie Actor Review Application using NLP Model (Python, Hadoop, PySpark) Oct 2022 – Nov 2022

Conducted Extract, Transform, Load (ETL) process using PySpark APIs to retrieve 30k+ movie actor reviews from web

Implemented N-gram algorithm on Hadoop HDFS to extract keywords from the crawled text data

Visualized the data using Matplotlib to show the key performance / style of the given actor name

“Big-Five” European Soccer Database Query Application (PostgreSQL, Python) Oct 2021 – Dec 2021

Designed a query web application for soccer lovers to search information of players, teams and associated match history

Collected historical stats for 26k+ historical soccer matches and imported the cleaned data into relational database

Developed frontend using Streamlit API, backend using Python and database on PostgreSQL server TECHNICAL SKILLS

Languages: Python, C++, Java, SQL, HTML, CSS, JavaScript, VBA Technologies and Libraries: Spring Cloud/Web/IoC/Data JPA/Security/JWT, React JS, Node.js, jQuery, Ajax, PostgreSQL, MySQL, MongoDB, Hadoop, Spark, Dask, Tensorflow, MATLAB