Available to hire
Hi there! I’m Jeffrey Tsai, a full-stack engineer who translates ambitious ideas into scalable, production-ready systems. I enjoy collaborating with product and business teams to design high-availability platforms, optimize AI/NLP workflows, and ship features that drive growth.
I hold an MS in Information Systems - Management and have led end-to-end builds—from real-time bidding engines to LLM-assisted NLP pipelines. I thrive in multidisciplinary environments and mentor teammates to deliver reliable software with a product mindset.
Skills
Language
English
Fluent
Work Experience
Full-Stack Software Engineer at Ritchie Bros. Auctioneers
November 1, 2022 - December 1, 2023Modernized the real-time bidding platform into a componentized Next.js 13 stack, shipped performance-focused features that kept live auctions stable and responsive. Designed and extended Java Spring Boot services in an Agile delivery environment, integrating with multiple internal systems and third-party vendors to support real-time auction workflows and high-throughput traffic. Developed a Python/Node.js tool to automate the migration of 8000+ articles of CMS content across 18 locales, facilitating seamless content migration to our new CMS system. Front-line responder in the rotating on-call roster; triaged incidents and restored production with a 30-minute MTTR, maintaining 99.9% platform uptime.
Founding Software Engineer at Metachron.io
January 1, 2021 - August 1, 2022Founding engineer and hands-on lead for a four-person crypto-e-commerce startup, setting the technical direction across front-end, back-end, and Dev Ops. Built Jest/Cypress test suites using TDD practices and CI/CD pipelines that enabled fast, reliable deployments with integrated rollback and recovery; ensuring stability and zero regressions after launch. Designed, implemented, and unit- and integration-tested 25+ Flask microservices backed by MongoDB, delivering secure REST APIs consumed by both web and mobile clients.
Full-Stack Engineer (Contract) at Unspun Media
October 1, 2005 - PresentDesigning and engineering a 0 → 1 collaborative news annotation platform using Next.js (App Router), Python/Flask APIs, Auth0, WebSockets, and MongoDB/SQL, supporting sentence-level labeling, reviewer workflows, and moderation tooling. Building LLM-assisted NLP pipelines for bias detection and explanation, integrating model inference, evaluation workflows, and human-in-the-loop feedback to continuously improve accuracy.
Software Engineer (Contract) at ES Foundry
April 1, 2024 - December 1, 2024Delivered core frontend and backend features across several cross-functional projects within the organization. Engineered and integrated AI solutions into existing product pipelines, automating complex data processing tasks and optimizing model performance to significantly enhance accuracy and system throughput.
Full-Stack Software Engineer at Unspun Media
October 1, 2025 - PresentDesigning and building a 0-to-1 collaborative news annotation platform using Next.js, Qdrant, Python/Flask APIs, Auth0, WebSockets, and SQL, enabling sentence labeling, reviewer workflows, and moderation tooling. Building LLM-assisted NLP pipelines with retrieval-augmented generation (RAG) and vector search for article bias detection, including model inference, evaluation workflows, and human-in-the-loop feedback to continuously improve accuracy.
Software Consultant (AI & Infrastructure) at ES Foundry
April 1, 2024 - November 1, 2024Engineered AI-driven product pipelines and delivered core full-stack features, optimizing model performance and automating complex data processing tasks to enhance system throughput.
Full-Stack Software Engineer at Ritchie Bros.
November 1, 2022 - December 1, 2023Modernized the real-time bidding platform to a componentized Next.js 13 stack and developed tooling to migrate 8,000+ CMS articles. Designed and extended Java Spring Boot services in an Agile environment, integrating with internal systems and third-party vendors to support real-time auction workflows and high-throughput traffic. Served as a frontline on-call responder, triaging incidents and restoring production with a 30-minute MTTR and maintaining 99.9% platform uptime.
Education
Master of Science in Information Systems at Northwestern University
January 11, 2030 - October 1, 2025Bachelor of Arts in Linguistics, Computer Science (Minor) at University of Illinois at Urbana-Champaign
January 11, 2030 - December 1, 2020M.S. in Information Systems - Management at Northwestern University
January 11, 2030 - January 1, 2025Qualifications
Industry Experience
Software & Internet, Media & Entertainment, Professional Services
Skills
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