# Yazhe Feng

> M.S. CS @ Northeastern | Amazon & Health tech Experience

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/yazhe

Hi, I'm Yazhe! I'm a full-stack developer, currently finishing my Master’s in Computer Science at Northeastern University.
I’m passionate about building systems that not only work, but scale, integrate AI meaningfully, and make a real impact on users. I've built production features at Amazon and in healthtech, working on everything from microservices handling millions of requests to AI-driven tools that help users make sense of complex data.
I'm comfortable across the stacks, such as React, Vue, Flask, Django, Spring Boot. etc, but I especially enjoy designing clean APIs, building data pipelines, and optimizing backend performance under pressure.
Outside of code, I love interior design, workout, and dive deeper into AI product domains to better understand the problems I’m building for.. Right now, I’m looking to join a team where I can keep learning, ship meaningful products, and grow as a backend or full-stack engineer (ideally where AI plays a role 🚀).

(PS: no sponsorship needed)

## Work Experience
### Full Stack Engineer @ S2N Health
Jan 2024 – Jan 2024 | Boston, Massachusetts, United States
• Collaborated with the commercial team to develop a web application with interactive graphs using Vue.js and Vuetify, enhancing UX by transforming complex healthcare data into actionable insights.
• Built a context summarizing feature on Salesforce platform using Gemini AI, improving user productivity by delivering essential physician information and driving a 10% growth in click rate on physician profile.
•	Engineered advanced indexing strategies for PostgreSQL databases on Google Cloud Platform to ensure high availability and fast retrieval of physician and hospital data, elevating query performance by 38%.
• Constructed RESTful API endpoints with Flask for database CRUD operations on millions of physician records, reducing query latency from 1s to 20ms with Redis caching.
• Created a comprehensive test suite using Pytest, Jest, and Vitest, utilizing Sentry for error monitoring, improving backend stability and ensuring robust application performance.

### Software Engineer @ Amazon
Jan 2023 – Jan 2023 | Bellevue, Washington, United States
• Developed an expanded toolset with AWS services to fully automate the manual workflow for Alexa Skill revocation requests across NA, EU, and JP regions.
• Optimised CRUD operations using API Gateway by defining versioned HTTP endpoints, ensuring robust validation and fortifying security with IAM authentication.
• Built four AWS Lambda functions with Java, integrated SQS to scale processing from 100 QPS to 30,000 QPS, and implemented Dead-Letter-Queue to enhance reliability in handling failed requests.
• Leveraged partitioning, indexing, and data stream with DynamoDB to efficiently manage over 2.5 million data.
• Created real-time monitoring with CloudWatch metrics and AWS SNS alerts to notify on-calls within 2 seconds when system health issues arise.
• Created a CI/CD pipeline with AWS Code Pipeline to automate testing, reducing release cycles by 33% and attaining 95% unit testing coverage with Junit and Mockito.

### Account Manager @ Alibaba Group
Jan 2017 – Jan 2018 | Guangzhou, Guangdong, China

### Associate Product Manager @ Huawei Consumer Business Group
Jan 2016 – Jan 2017 | Guangzhou, Guangdong, China


## Education
### Master of Science - MSCS Align in Computer Science
Northeastern University
Jan 2021

### Computer Science
Foothill College
Jan 2020 – Jan 2021

### Master's degree in Business Administration and Management, General
Keele University
Jan 2015 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/yazhe-feng-168a2b16a

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Source: https://flows.cv/yazhe
JSON Resume: https://flows.cv/yazhe/resume.json
Last updated: 2026-03-20