Eric (Jiun-Yan) Chen

Senior DevOps Engineer

• Led a team to build a customer facing service for accessing and browsing corporate container repository.
• Implement SSO with OAuth and LDAP, and logging system for legacy corporate applications.
• Redesign multiple enterprise and production systems to be more stable and resilient, include monitoring and preemptive alerts, and setting up Infrastructure as Code pipelines for re-spins and disaster recovery.
• Create pipelines using tools like GitLab, Jenkin, and Ansible to deploy code and instantiates services to cloud platforms, including AWS, Azure, and internal private cloud.
• Designed a system to create automated source code merging based on user set schedules
• Work with Terraform, Ansible, and Kubernetes to setup services to enable edge server distribution for product repositories.

Research Assistant

• Presented research progress at BU Focus Research Program Workshop: Secure analytics on mobile health data streams
Ref: Workshop link
• Automated VM spinups using Ansible on AWS, GCP, Azure managed machines
• RESTful API server using TypeScript and node.js
• Uses ansible-playbooks to setup environment for SMPC query calculation.
• Performs data parsing on dataset-shares to align with query plan.
• Provides permission control on data set and query building for data analysts.
• Prototype front-end using React.js for demoing potential usecases to clients.
• Automated testing system for library development for testing network latency and throughput on cross-platform and cross region queries.
Ref: https://arxiv.org/abs/2102.01048

Software Engineer Intern

• Design new implementation for data pipelines and create corresponding design docs.
• Updating C++ Flume pipelines to cover edge cases and additional cost categories.
• Perform analysis on scripts using SQL to analyze viability of upstream data merges.
• Improved data quality of data mart, establishing a normalized metric to reduce sensitivity to upstream anomalies, covering over 17% of current tracked jobs.
• Increase cost coverage of the data-pipeline by expanding scope to other resources. Increasing coverage for 12.5% of jobs for target-scope.

Data Engineer Intern

• Design and implement a system that performs item similarity matching between company and competitor’s product portfolio. Written in C# .NET core
• Highly parallelized system ran on GCP with automatic scaling to different CPU and memory sizes.
• Provides a webpage with Blazor and RESTful for users, and a python interface for automations.
• Connects with Entity Framework core to a self-hosted MySQL database, updated daily by crawling competitor’s websites.
• Used to populate a Google Dashboard for price comparison and item coverage for strategy making

• Create a custom machine learning model that calculates the optimal boxes sizes for warehouse uses. Written in C# and Python
• Designed custom modified k-mediod algorithm for finding optimal box sizes.
• Identify outliers that don't fit within regular packaging materials.
• Monthly savings of 10% in material costs, 2% in logistic costs, and 6% increase in usage.

Boston University

Relevant Courses: Mobile App Development, User-Centric System Design, Network Security