Steven Zhang
@stevenzhang
Seasoned Software Engineer with expertise in cloud architectures and AI solutions.
What I'm looking for
As a Staff Software Engineer with over 11 years of experience, I have honed my skills in building robust, large-scale systems across various industries, including healthcare, financial services, and e-commerce. My expertise lies in designing resilient cloud architectures and integrating AI solutions using technologies such as Java, Python, and TypeScript. I am passionate about delivering secure, high-performance applications that align technology with strategic business goals.
Throughout my career, I have led significant projects that resulted in measurable improvements, such as a 20% increase in partner engagement for an affiliate marketing platform at Amazon and a 40% increase in document handling throughput through AI automation at KeyBank. My ability to architect microservices and implement CI/CD pipelines has not only optimized performance but also enhanced operational efficiency, ensuring that I consistently deliver value to my teams and clients.
I thrive in collaborative environments where I can mentor junior engineers and contribute to innovative solutions. My commitment to continuous learning and adapting to new technologies drives my passion for software engineering, and I am excited to leverage my skills to tackle new challenges in the tech industry.
Experience
Work history, roles, and key accomplishments
Staff Software Engineer
Amazon
Mar 2020 - Present (5 years 4 months)
Led the backend architecture and development for Levanta, an affiliate marketing platform, resulting in a 20% increase in partner engagement and supporting over 50M transactions monthly. Designed and implemented microservices with TypeScript, Java, and GraphQL, reducing API response time by 15% while maintaining 99.99% system uptime.
Senior Software Engineer
KeyBank
Jun 2018 - Present (7 years 1 month)
Spearheaded development of AI-automated contract processing workflows using Python, Java, and OpenAI API, increasing document handling throughput by 40%. Built PCI-compliant payment systems using Node.js, Java, and Stripe, securely processing over $20M monthly in investment transactions.
Software Engineer
Dwellfox
May 2014 - Present (11 years 2 months)
Developed automation workflows integrating AI/ML with Python, Java, TensorFlow, and Scikit-learn, reducing manual effort by 35%. Built scalable web apps using React, Node.js (Express.js), Java, and GraphQL, streamlining data integration for automation platforms.
Education
Degrees, certifications, and relevant coursework
Texas Tech University
Bachelor's degree, Computer Science
2009 - 2013
Studied Computer Science at Texas Tech University from 2009 to 2013. Gained foundational knowledge and skills in various aspects of computer science.
Tech stack
Software and tools used professionally
D3.js
Dialogflow
Microsoft Azure
GitHub
Kubernetes
Jenkins
CircleCI
GitHub Actions
React Native
NumPy
Pandas
MySQL
PostgreSQL
MongoDB
Microsoft SQL Server
Gmail
Node.js
Laravel
Spring Boot
Next.js
NestJS
.NET
Yarn
Tailwind CSS
Redis
Terraform
Mocha
SuperTest
Vue.js
React-Vue
Webpack
HTML5
Java
PHP
TensorFlow
PyTorch
scikit-learn
Kafka
RabbitMQ
Amazon DynamoDB
Gemini
GraphQL
Firebase
Vercel
JUnit
Twilio
WebRTC
Zapier
Airflow
Time Analytics
SQL
npm
Availability
Location
Authorized to work in
Job categories
Skills
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