AI and full-stack engineering

Building useful AI products from workflow to production

I build AI-assisted workflows, web applications, and data pipelines at WorkOnward. My background in public policy and psychology shapes how I work with people and data.

Selected engineering work

Recent work at WorkOnward, with outcomes and implementation details.

WorkOnward · Conversational AI

Job posts by text in under five minutes

Built the orchestration layer for an SMS assistant that gathers hiring details, drafts job descriptions, and routes exceptions for human review.

  • Enabled a job posting flow that takes under five minutes.
  • Used structured extraction and multi-turn state to keep submissions on track.
  • Built with TypeScript, LangGraph, LangChain, Zod, Redis, MongoDB, and Twilio.
WorkOnward · Operations

A clearer review workflow for the team

Built a Next.js dashboard to help staff review job posts, conversations, and submissions that need attention.

  • Surfaced live chat logs, pending submissions, validation flags, and phone risk scores.
  • Streamlined review and approval; a related admin workflow reduced manual review time by 40%.
  • Built with Next.js, TypeScript, server-sent events, and backend data services.
WorkOnward · Data engineering

Job data at scale

Designed a pipeline to collect and extract structured details from dynamic job-posting sites.

  • Processed more than 10,000 postings with 90% parsing accuracy.
  • Used multithreading and asynchronous I/O to handle collection and extraction.
  • Built with Python, Selenium, and LLM-based extraction.
WorkOnward · Accessibility

Resume guidance in five languages

Engineered a guided resume-building workflow for job seekers who need support in their preferred language.

  • Supported English, Korean, Chinese, Spanish, and Russian.
  • Reduced average resume creation time by 70%.
  • Used TypeScript, Azure OpenAI, MongoDB, and Twilio.

Earlier personal projects

Hands-on experiments in computer vision and machine learning.

U-Net water meter reader

U-Net segmentation model detecting water meter number regions
  • Built and trained a U-Net segmentation model to automatically detect and localize water meter number regions in images.

Dog breed classifier

CNN architecture diagram showing multi-stream data processing
  • Explored image classification across 133 dog breeds with a convolutional neural network.

Text message classifier

Neural network architecture diagram showing interconnected nodes and connections
  • Implemented a neural network for spam detection, including forward and backward propagation.

Experience snapshot

Bringing together policy insight, human-centered research, and engineering to build technology that creates meaningful impact.

Aug 2024 - Present

AI Engineer, WorkOnward (Remote)

Build conversational hiring workflows, a Next.js operations dashboard, and job-data pipelines; coordinate technical planning and production rollout.

Jan 2022 - Jun 2023

Software Engineer Apprentice, 100Devs (Remote)

Shipped client-ready full-stack features, collaborated on agile squads, and practiced code reviews, sprint planning, and developer tooling.

Jun 2019 - Aug 2019

Research Assistant, California Center for Population Research

Supported immigrant health research with data cleaning, statistical analysis in R and SQL, and publication-ready reporting.

Education

UCLA MPP & Purdue BS Psychology

Master of Public Policy with University Fellowship Award and Franklin D. Gilliam, Jr. Social Justice Award; undergraduate honors student with study abroad in Berlin.

Let's collaborate

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From idea validation to production systems, I partner with mission-focused teams to deliver technology that creates meaningful impact.

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