# Ming-Jen (Michael) Yeh > Senior Software Engineer | AWS, Java, React, Python, Node, ML Research Location: New York, New York, United States Profile: https://flows.cv/mingjen Experienced Full-Stack Developer, Data Engineer and Scrum Master with a demonstrated history of working in the financial services, e-commerce, and IT-service industry. Skills in various fields: App Development: Java, JavaScript, React, Redux, Spring, Agile, React-Sagas. Data: Python, SQL, MongoDB, R, SAS, Tableau, AWS, Airflow, SPSS, Matlab, Stata, PyTorch, Power BI. Finance: Corporate Finance, Financial Analysis/ Modeling, Equity Investment, Fixed Income. ## Work Experience ### Full Stack Engineer & Project Owner @ Stealth Project Jan 2024 – Present Key Projects: Community Platform (FastAPI + Next.js): • Led the development of a forum platform, enabling users to share reviews, connect via hashtags, and explore structured content. • Built the prototype using Django, then transitioned to FastAPI and Next.js in production to improve scalability and maintainability. • Integrated autocomplete functionality for location-based inputs and implemented AI-driven category suggestions, reducing manual review workloads by 70%. • Analyzed structured data to extract trends, supporting data-driven decision-making and strategic insights. Business Intelligence Platform (NestJS + Next.js): • Designed and developed a scalable BI platform to streamline analytics for small businesses. • Delivered dynamic dashboards to visualize trends and performance, leveraging a robust NestJS backend and Next.js frontend. • Utilized Python with libraries such as Pandas and NumPy to process data, perform in-depth analyses, and extract actionable business insights.  • Prototyped natural language query features to enhance user interaction and accessibility. Healthcare Matching Platform (Quarkus + ReactJS): • Engineered a system to connect users with healthcare providers based on personalized needs. • Implemented a high-performance backend using Quarkus with a PostgreSQL database and a responsive user interface with ReactJS. Core Contributions: • System Architecture: Designed modular, scalable architectures and managed deployments on AWS to ensure high availability and performance. Containerized backend services with Docker to enable Kubernetes-based scalability and optimized deployment pipelines. • Lifecycle Management: Directed full project lifecycles, including design, development, deployment, and feedback-driven iteration. Effectively coordinated timelines and resources, delivering projects on schedule and meeting diverse industry requirements. ### Founding Software Engineer @ AppMoo Financial Jan 2023 – Jan 2024 | Los Angeles Metropolitan Area Lead AI integration, mobile app development with React Native, manage Node.js backend, mentor team, conduct ML research, and oversee system architecture and recruiting. • Planned and developing mobile applications from scratch, using React Native, in line with the strategic direction of technology development. • Aligned application development with organizational goals and industry advancements in financial security trading. • Implemented Node.js for backend services, ensuring efficient data management, authentication, and seamless API integration. ### Software Development Engineer II @ Amazon Web Services (AWS) Jan 2021 – Jan 2023 | New York, New York, United States • Spearheaded the integration of the team's service with the CloudFormation Registry service, empowering customers to efficiently create and manage their resources using infrastructure as code, resulting in a seamless and streamlined resource management and integration experience. • Developed a React-based front-end project to display resource costs and utilization options based on usage, resulting in monthly savings of over $1000 for each tag-based application. Led a team and collaborated with stakeholders to ensure timely, budget-friendly project delivery while optimizing user experience and code quality. • Implemented a user-friendly help panel in the team's service console, improving the customer experience by providing clear guidance on each feature's usage. ### Data Engineer @ Catalyte Jan 2021 – Jan 2021 | Greater Boston • Maintained and optimized a high-volume big data processing pipeline for a retail data science company using Java and SQL, ensuring timely and accurate delivery of data to internal and external clients. • Implemented BI visualizations and performed rigorous unit and integration testing to guarantee data accuracy and completeness, contributing to the development of personalized and valuable shopping experiences for customers. • Scraped 20,000 jobs from the websites of 100+ US leading companies using BeautifulSoup and Selenium. • Constructed an automated ETL pipeline on AWS which transforms raw data through streaming, batch processing, replication, and aggregation to produce insightful visualizations. ### Software Developer @ Catalyte Jan 2019 – Jan 2021 | Greater Boston Area • Maintained a 5+ year internal resource planning system with Mendix (a Java-based developing platform) and deployed a work order automation process which reduced 70% of the order registration time. • Initiated and led a scrum team to develop a fully automated, market-focused web application running on AWS. 1. Designed the architecture diagram to fit the business needs while adhering to Catalyte security standards. 2. Devised system that auto-identifies the new user and automatically sends customer info to the sales team. Created a scalable backend API and deployed it into EC2, EBS, and RDS, using CloudFront to manage the access request, and implemented UX designs with CSS and HTML in React framework. • Led a team of developers and managed the user login feature, ensuring a seamless and secure login experience. ### Associate @ Catalyte Jan 2019 – Jan 2019 | Greater Boston Area • Produced business logic using Java, Sprint Boot 4.0, Spring Security, and Postgres SQL database accessed via Hibernate. • Assisted in the development of the login and messaging functionality using React on the web application. • Used React to build the front end web application, Redux, and Saga middleware to manage state, and JSLint to enforce coding standards. • As Scrum Master, led daily stand-up meetings, scheduled and facilitated sprint planning and sprint retrospective meetings, provided the product owner with timely updates, and helped resolve blocking issues. ### Data Scientist @ On Campus Marketing Jan 2019 – Jan 2019 • Integrated large data sets (>10 MM rows) from multiple sources by SQL with BigQuery and Cloud Datalab. • Developed auto-identify program of customer information with machine learning architecture and NLP analysis. • Built a sales forecasting model with XGBoost, ARIMA, LSTM (error <17%), and derived insight for OCM. • Constructed automatized ETL pipeline with Airflow and Google Cloud Platform. ### Project Lead of Traffic Information Exchange Network @ Purdue Foundry Jan 2018 – Jan 2019 | Fort Wayne, Indiana Area • Collaborated with 3 aerospace engineering students and manage to launch the prototype system in June 2019. • Designed data processing pipeline and client-facing API with comprehensible data visualization. • Performed various business strategies: such as 5C Framework, BCG Matrix, Porter’s 5 Forces Analysis, for the propose of ensuring the direction of product toward reaching final clients’ need. • Progressed to the final round of Ag-Celerator, 2019. (Top tier ag-tech start-up competition) ### Credit Analyst @ Citi Jan 2016 – Jan 2018 | Taiwan • Reviewed 65+ Taiwan leading corporate groups’ financial statements and established dependable account entries through Citibank’s models by industry or region specific. • Responsible for 3 corporate accounts, totally approximate US$600 millions facility amounts, including helping customer queries and transaction issues. • Prepared annual credit reports, deal memos and quarterly reviews for 10+ corporate groups with cash flow projections, industry study and risk analysis on counter-parties and specific transactions. • Extended US$22 millions credit limit to a new client in electronic component industry. • Removed a client’s outstanding cap with Relationship Managers. • Scrutinized each credit methodology and policy update and discussed with Citibank global risk team; designed workshops for RM and Risk Analysts to enhance credit process efficiency in the bank. ### Equity Research Analyst @ Fuh Hwa Securities Investment Trust Co., LTD. Jan 2015 – Jan 2016 | Taipei City, Taiwan • Established Excel databases and models that automatically updates indicators of Greater China’s 6 industries through Bloomberg and Wind. • Forecasted 3 stocks that price increased by more than 30 percent with top-down analysis and various valuation tools, e.g. P/E, P/B, PEG, NAV, etc. ### Research Assistant @ National Yang Ming University Jan 2013 – Jan 2015 | Taipei City, Taiwan • Collected data and developed stochastic process model for fMRI analysis by Matlab. • Presented in CNS meeting, 2014, Boston, MA. (Top 3 in Neuroscience with 1000+ academicians). ## Education ### Master of Science - MS in Business Analytics and Information Management Purdue University Daniels School of Business ### Bachelor’s Degree in Double Major in Economics/ Psychology National Taiwan University ## Contact & Social - LinkedIn: https://linkedin.com/in/mingjenyeh --- Source: https://flows.cv/mingjen JSON Resume: https://flows.cv/mingjen/resume.json Last updated: 2026-04-05