Peoria, Arizona, United States
I’m a software engineer with 4 years of experience building scalable backend systems in industries from legal tech to insurance. I hold an M.S. in Computer Science (GPA 3.9) with a specialization in machine learning, NLP, and data-driven forecasting. I am passionate about optimizing performance and deriving insights from big data. I am currently seeking roles that let me bridge backend engineering with AI/ML. Native English speaker (U.S. citizen) with intermediate Chinese proficiency and always learning something new.
Completed master of science in computer science with a focus on machine learning and data science. • Collaborated on a Natural Language Processing project to analyze German compound noun segmentation models processing on large, clean and unclean, datasets. • Contributed to a SCADA intrusion detection system utilizing deep neural networks. • Co-developed a Software Engineering salary prediction model utilizing categorical feature, SentenceTransformer embeddings, and 5-fold cross-validation. • Analyzed U.S. immigration patterns by cleaning and merging 3 DHS datasets in R and built ETS and ARIMA forecasting models. • Tutored DS&A.
• Engaged with the User Engagement team and other development teams to manage and provide support to a large-scale Rails application, and to design, maintain, and execute custom Ruby scripts. • Utilized Docker for local development and testing environments. • Deployed code changes, feature updates, and bug fixes via AWS EC2 instances and managed file storage using S3. • Monitored system health, managed memory usage, and diagnosed issues via CloudWatch. • Performed database operations and optimization using MySQL, ensuring processing efficiency. • Solved critical application errors and bugs by identifying root causes and implementing creative solutions to maintain codebase stability. • Maintained client communication, and utilized Atlassian tools such as Confluence to update internal documentation for project tracking and coordination.
· Contributed to a project overhauling legacy claims system with a new Java codebase. · Implemented automated file retrieval and manipulation processes using JavaScript and ASG Zena. · Integrated new SQL queries and utilized SQL on a daily basis. · Conducted thorough user acceptance testing.