Andrew Park
AI and full-stack software engineer · Long Beach, CA
Summary
Software engineer specializing in AI-assisted workflows, backend architecture, and automation pipelines. Experience building internal tools and production services with engineers, data teams, and stakeholders. Master of Public Policy.
Experience
AI Engineer · WorkOnward
August 2024-present · Irvine, CA
- Owned the LangGraph orchestration layer for an SMS job-posting assistant using TypeScript, LangChain, Zod, Redis, MongoDB, and Twilio for multi-turn state, structured extraction, routing, and human review.
- Shipped a workflow that lets employers publish a job post by text in under five minutes.
- Built a Next.js operations dashboard with live chat logs, pending submissions, content validation flags, and phone risk scores.
- Designed a Python and Selenium job-data pipeline using multithreading, asynchronous I/O, and LLM-based extraction; processed more than 10,000 postings with 90% parsing accuracy.
- Coordinated technical planning, rollout, testing, and production monitoring across engineers and data stakeholders.
Software Engineer Apprentice · 100Devs
January 2022-June 2023 · Los Angeles, CA
- Developed a full-stack application for property listings and blog content with backend data models and interactive frontend features.
- Worked with Git, code reviews, and sprint planning to deliver features in an Agile team.
Research Assistant · California Center for Population Research
June-August 2019 · Los Angeles, CA
- Cleaned and analyzed population and immigrant-health data using R and SQL; helped prepare research findings for publications and grant reports.
Selected project
Water meter data processing and automation
- Developed a U-Net model to identify meter-reading regions in images and an interactive Folium dashboard for viewing meter locations and values.
- Used AWS Lambda and DynamoDB for supporting data workflows. View project.
Education
University of California, Los Angeles · Master of Public Policy, 2020
Purdue University · Bachelor of Science in Psychology, 2016
Technical skills
Languages: TypeScript, JavaScript, Python, SQL, R
AI and data: LangGraph, LangChain, Azure OpenAI, retrieval-augmented generation, Selenium, MongoDB, Redis
Web and cloud: Next.js, Node.js, AWS Lambda, ECS, S3, Docker, Twilio