# Evan Hang

> Software Engineer at Doordash

Location: United States, United States
Profile: https://flows.cv/evanhang

AI-focused Product Engineer with 10+ years of experience building and scaling full-stack systems across fintech and e-commerce platforms. Strong foundation in React, TypeScript, and Node.js for product development, with deep expertise in Python, Go, and cloud-native microservices for AI-driven systems.

Specialized in designing and deploying production AI solutions, including LLM-powered applications, multi-agent systems, context and prompt engineering, and ML inference pipelines. Hands-on experience integrating AI into real-world workflows such as fraud detection, risk analysis, and operational decision support using Kafka-based data pipelines and event-driven architectures.

Proven experience building secure, compliant systems in regulated environments, with expertise in OAuth, data integrity, and compliance management for banking and fintech platforms. Comfortable owning systems end-to-end—from frontend UX and API design (REST, gRPC, GraphQL) to containerized deployment on AWS using Kubernetes, Docker, Terraform, and CI/CD pipelines.

U.S. citizen. Currently focused on senior and staff-level roles building AI-enabled products leveraging LLMs, multi-agent architectures, and cloud-scale infrastructure in fintech and high-impact domains.

## Work Experience
### Senior Software Engineer @ DoorDash
Jan 2022 – Present

### Senior Software Engineer @ Wayfair
Jan 2020 – Jan 2022

### Software Engineer II @ Plaid
Jan 2018 – Jan 2020

### Software Engineer @ Plaid
Jan 2017 – Jan 2018

### Software Engineer @ Intuit
Jan 2013 – Jan 2017

### Software Development Intern @ Google
Jan 2011 – Jan 2012


## Education
### Bachelor of Science - BS in Computer Science
University of San Diego
Jan 2009 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/evan-hang-6a7a893a1

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Source: https://flows.cv/evanhang
JSON Resume: https://flows.cv/evanhang/resume.json
Last updated: 2026-03-22