# Yuren Dong > Software Engineer @ Meta Location: New York, New York, United States Profile: https://flows.cv/yuren I'm a full-stack Software Engineer at Meta, with experience leading end-to-end planning, implementation, and testing for our cloud-based product solutions. I specialize in coding languages such as Python, Golang, JavaScript, Java, SQL, NoSQL, and shell scripts. I'm also a fast learner to ramp up new technologies and coding languages. I'm familiar with the cloud platforms (AWS, GCP, and Azure), Git, Docker, Kubernetes, CICD pipelines, and many other tools. ## Work Experience ### Software Engineer @ Meta Jan 2024 – Present | New York, New York, United States ### Software Engineer @ Lacework (acquired by Fortinet) Jan 2023 – Jan 2024 | Mountain View, CA -Multi-Cloud Architecture: Lead Architect for a unified visibility engine using Go, Neo4j, and Snowflake to identify complex security risks across AWS, Azure, and GCP. -System Optimization: Revolutionized data pipeline efficiency via Redis caching, achieving a 10X reduction in Kubernetes resource consumption. -Developer Productivity: Built an automated CI/CD pipeline using Python, Bazel, and Tilt, reducing deployment snapshot creation time by 90%. Infrastructure & Mentorship: Optimized Terraform-based multi-cloud test resources and mentored interns to deliver high-priority product enhancements. ### Software Engineering Intern (Data Analyst) @ CyberCube Jan 2022 – Jan 2022 | New York, United States -Developed frontend and backend services to monitor port scanner results of 30+ web services, processed metadata through Python and PostgreSQL from 2K+ AWS S3 buckets, and designed UI with React and FastAPI. -Containerized scripts using Docker and deployed AWS ECS tasks on AWS Fargate to perform monitoring. -Collaborated with team members to redesign middleware messaging and set up fanout with AWS SNS and SQS. -Dived deep into credential and connection configurations of AWS services, PostgreSQL, and Docker containers. -Reported vulnerability counts for 1M+ results of port scanning for evaluation and analysis of cyber risk. ### Software Engineering Intern @ Budweiser Brewing Company APAC Jan 2021 – Jan 2021 | Shanghai, China - Developed distributed recommendation system pipeline using Spark to validate search queries by business agents and recommend physical retail stores, optimized daily workflows for all agents of the company across China. - Preprocessed 20K+ retail store information using PySpark and SQL, improved script performance by 40 folds. - Extracted and engineered features through Natural Language Processing to generate similarity scores. - Built Random Forest Classifier for the recommendation, recursively trained a labeling model starting with 80 search queries to label 5K+ pairings, reached AUROC of 95%, precision of 82%, and recall of 73% on test data. ### Computer Science Researcher @ UC San Diego Jan 2020 – Jan 2021 - PI: Alon Goren and Melissa Gymrek - Led 3 students to build Regression models with Python and R to identify short tandem repeats (STRs) impact with gene splicing events, targeted 2K+ highly confident associations significant to rare diseases studies. - Engineered gene splicing features from 230K+ locations and 18K+ samples and associated splicing metrics with STRs to identify 22K+ statistically significant splice-STR pairs out of billions of genomic data entries. - Optimized the pipeline workflow by splitting datasets to 1K+ subsets and parallelized the tasks using array jobs on High Performance Computing clusters, improving the total performance by 1,200 times. ### Research Intern @ Scripps Research Jan 2019 – Jan 2021 | Greater San Diego Area - PI: Pejman Mohammadi - Set up 18,500 stochastic gradient descent models on human genome datasets with 250 million entries to describe genes relationships using PyTorch, TensorFlow, and scikit-learn, with an average AUROC over 0.65. - Designed a pipeline to detect gene expression outliers for diagnosing rare disease patients on the entire human genome. ### Software Developer Intern @ Nanotools Bioscience Jan 2020 – Jan 2020 | San Diego, California, United States - Analyzed imaging videos on cardiomyocytes through computer vision, and applied tools like clustering and logistic regression to evaluate drug performance on cells. The script was used to analyze hundreds of experiment videos. ### Software Engineer Intern @ Steady Hands Technology Jan 2018 – Jan 2019 | University of California, San Diego - Prototyped a self-correcting structure for stabilizing hand tremors caused by Alzheimer's Disease and designed Arduino algorithms. - Received a $1000 grant from the UCSD Rady School of Business StartR program and was accepted by the UCSD Bioengineering Department as a Senior Capstone Project. ### Data Analysis Researcher @ Shanghai Jiao Tong University School of Pharmacy Jan 2018 – Jan 2018 | Shanghai City, China -PI: Xueyi Li -Analyzed video records of Three-Chamber test, Novel object recognition test, Morris water maze, and tail suspension test for mice. -Analyzed and processed data of Western Blot bands through comparing the grey-level of proteins. ## Education ### Master of Science - MS in Computer Science Columbia University ### Bachelor of Science - BS in Bioinformatics UC San Diego ## Contact & Social - LinkedIn: https://linkedin.com/in/yuren-dong --- Source: https://flows.cv/yuren JSON Resume: https://flows.cv/yuren/resume.json Last updated: 2026-03-29