Systems & AI
Software engineering experience at Google and T-Mobile, and selected technical projects spanning AI systems, backend engineering, and human-AI interaction.
Professional Engineering Experience
Built and improved internal AI systems that automate software issue triage, support collaborative debugging, organize recurring user feedback, and streamline engineering maintenance workflows.
Multi-Agent Issue Triage
Built a Python and Go multi-agent bug-triage system that generated issue summaries, investigation plans, duplicate-ticket suggestions, and relevant technical context for newly filed issues.
Durable and Shareable AI Sessions
Implemented durable, shareable AI sessions that preserved context across service restarts, supported long-running investigations, and let one engineer hand an investigation off to another without losing prior conversational context.
Continuous User-Feedback Analysis
During an internal BuildAI hackathon, designed and built an LLM-powered feedback analysis pipeline to address a recurring problem: engineers manually reading many repetitive user reports to identify common themes and actionable product issues. The pipeline organized unstructured user feedback into stable issue themes, incrementally assigned newly arriving feedback to existing clusters rather than spawning duplicate or renamed clusters, and supported re-clustering and splitting when reports had been grouped incorrectly. This made recurring feedback easier for product and engineering teams to interpret and surfaced clearer, more actionable patterns. Supporting capabilities included screenshot analysis, technical-log investigation, and dynamic issue prioritization.
Additional Contribution
After completing the original internship milestones ahead of schedule, I modernized Java backend code, migrated legacy AI workflows into reusable standardized skills, and added automated regression tests to validate outputs and reduce maintenance.
Specific implementation details are omitted because this work is proprietary.
Built an internal project-management and reporting tool using Power Apps, Power Automate, and Power BI for more than 50 project managers.
University of Washington
Teaching Assistant, Interactive Systems Design & Technology
January – March 2023 · Seattle, WA
Taught Python programming and led biweekly office hours for more than 40 students.
Selected Technical Projects
LLM-Assisted Debugging for Novice Programmers
Built and evaluated a Python-based LLM assistant that helped novice programmers interpret errors, debug code, and understand generated explanations.
Happy to Be Included
Inclusive job-recruitment platform built with Included.ai. Built the candidate search and filtering system and translated stakeholder research into product requirements. Brave Award, UW HCDE Capstone Showcase.
AI Pacman
Implemented Pacman agents using DFS, BFS, A*, minimax, and Q-learning for graph search, adversarial decision-making, and reinforcement learning.