Daniel Park
@danielpark
Senior full-stack engineer building AI-enabled SaaS and data analytics products end-to-end.
What I'm looking for
I’m a senior full-stack engineer with 10+ years building AI-enabled SaaS platforms, data analytics tools, and scalable web applications. I bring strong end-to-end ownership—from system design through production deployment—while staying focused on delivering measurable product outcomes.
In my recent work, I built workflow-automation interfaces using React and Next.js, and implemented backend services with Node.js and PostgreSQL to support event processing and large-scale automation workflows. I also developed integrations with enterprise SaaS tools (including Slack, Jira, Okta, and PagerDuty) and improved automation performance by optimizing event-processing pipelines, reducing workflow execution latency by 30%.
I’ve consistently partnered with product and engineering teams to ship analytics that people can act on. I built internal monitoring dashboards to help engineering track workflow reliability and execution metrics, and I’ve collaborated with distributed teams across Ireland, Germany, and the US using asynchronous design reviews and documentation.
Earlier, I delivered HR analytics dashboards and improved analytics API performance by introducing caching and query optimization, reducing response time by 40%. I’ve also built merchant analytics dashboards with React and GraphQL, optimized frontend rendering to reduce page load times by 25%, and contributed to APIs supporting a third-party app ecosystem—always with the same mindset: build robust systems, validate impact, and ship.
Experience
Work history, roles, and key accomplishments
Built workflow-automation interfaces with React and Next.js for security teams to design automation pipelines. Implemented Node.js and PostgreSQL event-processing backends and optimized pipelines to reduce workflow execution latency by 30%, plus delivered Slack/Jira/Okta/PagerDuty integrations and internal reliability dashboards.
Developed HR analytics dashboards with React and TypeScript to help teams analyze workforce metrics and employee engagement. Built Node.js and PostgreSQL reporting workflows with role-based access control and improved analytics API response time by 40% via caching and query optimization.
Built merchant analytics dashboards using React and GraphQL to help store owners track sales performance and customer behavior. Optimized frontend rendering by refactoring components and applying code-splitting to reduce page load times by 25%, and delivered Node.js services supporting store analytics and third-party app integrations.
Delivered enterprise web applications for financial services clients using JavaScript and Node.js, including operational analytics dashboards and internal tools for banking platforms. Designed REST APIs integrating modern applications with legacy enterprise systems.
Education
Degrees, certifications, and relevant coursework
University College Dublin
Bachelor of Science, Computer Science
2011 - 2015
Earned a Bachelor of Science in Computer Science at University College Dublin from 2011 to 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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