Open to opportunities

Yiru Chen

@yiruchen

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Software engineer building AI agents, payments, and data-driven growth platforms.

Canada

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What I'm looking for

I’m looking for a team where I can build AI-agent and backend systems with strong product ownership, instrumentation, and safe engineering. I want to ship measurable improvements to payments, automation, and growth—then iterate fast with cross-functional partners.

I’m a computer engineering graduate focused on shipping reliable AI-enabled products—from agent workflows to backend services and measurable growth systems. I like turning ambiguity into clear interfaces, safe invariants, and instrumentation that teams can trust.

In my recent AI Growth Operator role, I designed and built core A2M payment workflows for an MCP-native payment rail, setting direction for AI-agent gift-card purchase and redemption. I also led production debugging across agent runtimes and browser-control automation, improving agent-payment success from 78% to 91% by resolving issues spanning Kubernetes failures, MCP server initialization, configuration, and checkout.

Earlier, I built an AI coding job monitor with a FastAPI backend, React/TypeScript dashboard, Redis queue/cache, and LangChain orchestration—reducing release turnaround time by 70% using Docker and CI/CD on AWS. I also developed automation for news aggregation and publishing with OpenAI and NewsAPI, cutting a 5-hour manual workflow to 25 minutes and increasing weekly website traffic by 400%, plus an outreach pipeline that achieved 97% email deliverability.

My projects reflect the same end-to-end mindset. I led a full-stack personalized EDM event discovery platform (Next.js + AWS Amplify/DynamoDB) with OAuth 2.0 and geolocation-aware filtering, built a Chrome extension for Twitter/X onboarding and social-graph collection, and created an LLM-powered expert recommendation system using RAG, vector search, and an interactive React dashboard.

Experience

Work history, roles, and key accomplishments

AI Growth Operator

Snaplii

May 2026 - Jul 2026 (2 months)

Designed and built core A2M payment workflows for an MCP-native payment rail, including elicitation/connect flows and authorization checks. Debugged agent-payment flows across runtimes and automation, and owned A2M analytics and user research in Metabase/Snowflake.

REST APIs JWT Playwright Kubernetes Metabase Snowflake Analytics User Research

Software Engineer Intern

Beta University

Mar 2025 - Jun 2025 (3 months)

Built an automated news aggregation and publishing pipeline using OpenAI and NewsAPI, reducing a daily manual workflow from 5 hours to 25 minutes and increasing weekly website traffic. Improved outreach launch speed by developing a LinkedIn contact-enrichment pipeline with RocketReach and Hunter.io plus an email validation workflow using Mailgun-style checks.

OpenAI NewsAPI Data Pipelines LinkedIn Contact Enrichment RocketReach Hunter.Io

Software Engineer Intern

Chinchilla AI

Aug 2025 - Present (11 months)

Built a code-generation job monitor with a FastAPI backend, React/TypeScript dashboard, and Redis-based queue/cache using LangChain orchestration. Reduced release turnaround time by 70% via Dockerized services, CI/CD automation, and AWS deployments, shipping internal AI automation prototypes with Claude Code.

fastAPI React TypeScript Redis Lang Chain Docker CI CD AWS Claude Code

Education

Degrees, certifications, and relevant coursework

New York University Tandon School of Engineering

Master of Science in Computer Engineering, Computer Engineering

Grade: GPA: 3.70/4.00

Activities and societies: Coursework: Computer Architecture; Real-Time Embedded Systems; Digital Signal Processing; VLSI

Master of Science in Computer Engineering with coursework in Computer Architecture, Real-Time Embedded Systems, Digital Signal Processing, and VLSI.

University of California, San Diego

Bachelor of Science in Computer Engineering, Computer Engineering

Grade: GPA: 3.50/4.00

Activities and societies: Coursework: Data Structures; Algorithms; OOP; Digital Design; Operating Systems; Computer Networks

Bachelor of Science in Computer Engineering (upper-division) with coursework including Data Structures, Algorithms, OOP, Digital Design, Operating Systems, and Computer Networks.