CV

Clark Ngo

clarkjasonngo@yahoo.com
Seattle, Washington, US

Summary

AI Software Engineer at City University of Seattle. Passionate about building robust, user-focused solutions in AI, cloud, and full-stack development.

Education

  • Master of Business Administration
    Present
    City University of Seattle
  • Master of Science in Computer Science
    2020-03
    City University of Seattle
  • Bachelor of Science in Commerce, Major in Management of Financial Institutions
    2010-04
    De La Salle University

Work Experience

  • AI Software Engineer
    2024-01 - Present
    City University of Seattle
    Built a modular conversational AI pipeline using Retrieval-Augmented Generation (RAG), alongside a custom implementation of Model Context Protocol (MCP) to support dynamic memory, token window control, and context persistence.
    • Enabled dynamic context management in multi-turn LLM workflows by integrating Claude Desktop with an MCP server and testing interoperability with other MCP-aligned tools.
    • Designed and deployed RAG applications integrating LLMs (Gemma via Ollama) with ChromaDB for intelligent search and recommendations. Built CI/CD pipelines with GitHub Actions and deployed on Amazon EC2.
    • Built a secure mobile banking prototype using Flask and React Native simulating key modules like fund transfer, integrated with front-end review workflows in Jupyter Notebooks.
    • Developed a lightweight Python-based ticketing platform for IT support simulation, designed for student use in audit and walkthrough exercises (IEEE 1028).
    • Engineered a visual feedback dashboard using React and Chart.js, connected to a Flask backend with live risk scoring, CRUD operations, and configurable service health endpoints.
    • Created interactive React Native apps such as a zombie shooter and quiz combat game to teach state management, local storage (AsyncStorage), and dynamic UI logic using hooks.
  • IT Consultant
    2023-11 - 2023-12
    Liberty Paper Inc
    Brought in as a strategic advisor to identify optimization opportunities and modernize existing processes, tools, and IT infrastructure—enhancing operational efficiency and scalability.
    • Led key digital transformation initiatives, including a centralized knowledge base to improve information access and cross-team collaboration.
    • Standardized software development workflows by implementing Git for version control and GitHub as a cloud repository, while modernizing customer service and HR with ServiceDesk for improved request tracking and issue resolution.
    • Revamped ERP systems with ERPNext to enhance automation and operational efficiency, while upgrading IT infrastructure with VPN and DDNS for stronger security and seamless remote access.
  • Software Engineer II
    2021-08 - 2023-09
    eBay Inc
    Recruited to revamp the front-end and back-end of eBay Advertising's Control Center, transforming it into a powerful one-stop application for monitoring ad infrastructure health, analyzing performance, managing incidents, and assessing the impact of experiments and code changes.
    • Cut mean time to identify site-impacting issues from 1 minute to just 10 seconds by scraping data from ServiceNow and internal APIs, storing it in Elasticsearch, and developing JAX-RS CRUD APIs for enhanced data management. Additionally, integrated Kafka for real-time ingestion and streaming of placement metadata.
    • Delivered a key project 25% ahead of schedule by onboarding experiment metadata, significantly improving visibility into traffic shifts caused by experiments.
    • Boosted code reusability by reducing duplication from 20% to 5%—implemented Spring microservices to decouple logic from monolithic applications and published shared libraries to JFrog.
    • Enhanced code quality and reliability, increasing test coverage by 40% through JUnit, Mockito, and Jenkins PR validation, while driving best practices via mentoring, code pairing, and rigorous code reviews.
    • Technologies used: Java, Spring, Spring Batch, Python, JavaScript, React, Redis, MySQL, Elasticsearch, Git, Docker, Kubernetes, and Jenkins.
  • Software Engineer
    2021-01 - 2021-07
    Worldwide American
    Brought in to design and develop a next-generation basketball platform to enhance game operations and community engagement.
    • Architected and built a scalable platform featuring a shot clock calculator, a hub for basketball clubs, and a rule book fouls hub, optimizing usability for players, coaches, and referees.
    • Implemented real-time data handling and cloud scalability by integrating AWS S3, EC2, CloudFront, and Route 53, ensuring high availability and performance.
  • Software Engineer
    2020-05 - 2020-12
    CloudEagle.AI
    Recruited to lead the pre-launch of an AI-driven Vendor Management System (VMS), later backed by Y Combinator, revolutionizing vendor selection, performance tracking, and procurement efficiency.
    • Engineered a high-performance Java Spring backend, reducing processing time by 50% for loading customers' SaaS providers into MongoDB, significantly improving data ingestion speed and system efficiency.
    • Conducted rigorous Okta user assignment API testing using Python scripts across 15 random applications, ensuring seamless access control for 500 unique users.
    • Validated and maintained a 98%+ accuracy rate in user assignments, reinforcing security and minimizing access inconsistencies.
    • Technologies used: React, Java, Python, MongoDB, SwaggerUI, Postman, Docker, Jira, AWS S3, AWS EC2, AWS CloudFront, AWS Cognito, and Okta.
  • Technical Program Manager
    2019-01 - 2020-04
    City University of Seattle
    Recruited to lead and scale a high-impact apprenticeship program focused on System Administration, Full-Stack Web Development, and Linux+ Certification, equipping military veterans with in-demand technical skills.
    • Successfully transitioned 40 out of 43 veterans into AWS Teams as Systems Developers through two intensive 17-week training programs, fostering career advancement in cloud computing and software development.
    • Achieved a 40% reduction in operational costs, saving $72,000 over two years, by redesigning the learning platform and optimizing workloads for maximum efficiency.
    • Bridged the gap between military service and tech careers, driving workforce transformation through structured mentorship, hands-on training, and real-world application of cloud and development technologies.
    • Technologies used: Java, MEAN Stack, MongoDB, Express, Angular, Node.js, TypeScript, JavaScript, Python, MySQL, AWS, Linux, and Mendix.
  • Financial Analyst - Mandarin
    2013-02 - 2016-08
    S&P Capital IQ
    Consistently achieved an "A" performance rating, exceeding expectations in translating 1,166,110 words across 7,230 data issues over three years, ensuring accuracy and efficiency in Financial Information process translation.
    • Pioneered a Business Intelligence translation framework, developing an extensive dictionary of Simplified and Traditional Chinese characters for financial, legal, and medical terminology, improving translation precision and consistency.
    • Enhanced and maintained Systran dictionaries and other translation tools, ensuring greater accuracy, efficiency, and standardization across financial data translations.
  • Financial Analyst - Mandarin
    2011-09 - 2013-01
    Thomson Reuters Corp.
    Consistently exceeded performance targets, achieving 130% production efficiency and maintaining 99% data quality, ensuring accuracy and reliability in financial data processing.
    • Extracted and encoded fundamental data from China, Taiwan, Hong Kong, and Thailand-listed companies into the Voyager database, while translating Simplified and Traditional Chinese financial statements into English for global accessibility.
    • Streamlined client service operations, facilitating service requests and ensuring timely resolution of inquiries from internal and external clients, enhancing service efficiency and satisfaction.
    • Identified and analyzed database errors, implementing validation checks and process improvements to enhance data accuracy, reduce inefficiencies, and drive automation.

Publications

  • Paper Title Number 1
    2009
    Journal 1
    This paper is about the number 1. The number 2 is left for future work.
  • Paper Title Number 2
    2010
    Journal 1
    This paper is about the number 2. The number 3 is left for future work.
  • Paper Title Number 3
    2015
    Journal 1
    This paper is about the number 3. The number 4 is left for future work.
  • Paper Title Number 4
    2024
    GitHub Journal of Bugs
    This paper is about fixing template issue #693.

Presentations

  • Talk 1 on Relevant Topic in Your Field
    2012
    UC San Francisco, Department of Testing
    San Francisco, CA, USA
  • Tutorial 1 on Relevant Topic in Your Field
    2013
    UC-Berkeley Institute for Testing Science
    Berkeley, CA, USA
  • Talk 2 on Relevant Topic in Your Field
    2014
    London School of Testing
    London, UK
  • Conference Proceeding talk 3 on Relevant Topic in Your Field
    2014
    Testing Institute of America 2014 Annual Conference
    Los Angeles, CA, USA

Teaching

  • Teaching experience 1
    2014
    University 1, Department
    Role: Undergraduate course
  • Teaching experience 2
    2015
    University 1, Department
    Role: Workshop

Portfolio

  • Portfolio item number 1
    Portfolio
    Short description of portfolio item number 1