Hi, I'm Tianze Kang, a Full-Stack Software Engineer with over three years of experience designing and building scalable web applications and data-driven systems. I have a strong background in both front-end and back-end development, with proficiency in technologies like React, Java, Spring Boot, FastAPI, and Docker. I enjoy working on cloud-native projects and have hands-on experience with DevOps automation and integrating machine learning into practical systems. Currently, I work at Walmart Global Tech, focusing on solutions for seller experiences, while also contributing to projects involving e-commerce features and infrastructure migrations to AWS. Beyond my professional work, I engage in independent projects such as high-frequency trading platforms, and have research experience in machine learning. I'm passionate about continuously learning and applying technology to solve complex problems in innovative ways.

Tianze Kang

Hi, I'm Tianze Kang, a Full-Stack Software Engineer with over three years of experience designing and building scalable web applications and data-driven systems. I have a strong background in both front-end and back-end development, with proficiency in technologies like React, Java, Spring Boot, FastAPI, and Docker. I enjoy working on cloud-native projects and have hands-on experience with DevOps automation and integrating machine learning into practical systems. Currently, I work at Walmart Global Tech, focusing on solutions for seller experiences, while also contributing to projects involving e-commerce features and infrastructure migrations to AWS. Beyond my professional work, I engage in independent projects such as high-frequency trading platforms, and have research experience in machine learning. I'm passionate about continuously learning and applying technology to solve complex problems in innovative ways.

Available to hire

Hi, I’m Tianze Kang, a Full-Stack Software Engineer with over three years of experience designing and building scalable web applications and data-driven systems. I have a strong background in both front-end and back-end development, with proficiency in technologies like React, Java, Spring Boot, FastAPI, and Docker. I enjoy working on cloud-native projects and have hands-on experience with DevOps automation and integrating machine learning into practical systems.

Currently, I work at Walmart Global Tech, focusing on solutions for seller experiences, while also contributing to projects involving e-commerce features and infrastructure migrations to AWS. Beyond my professional work, I engage in independent projects such as high-frequency trading platforms, and have research experience in machine learning. I’m passionate about continuously learning and applying technology to solve complex problems in innovative ways.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

Javanese
Advanced
Aragonese
Advanced
English
Fluent
Chinese
Advanced

Work Experience

Full-Stack Engineer – Seller Experience Team at Walmart Global Tech
February 1, 2024 - Present
Built and maintained key modules in the Seller Center using React 18, Next.js, and Tailwind CSS. Engineered backend microservices with Java 17, Spring Boot, and Spring Cloud, integrating with Amazon Aurora. Boosted system scalability using Java Concurrency APIs, RabbitMQ, and real-time monitoring with Micrometer and Grafana. Automated CI/CD with Docker, GitHub Actions, Kubernetes, and Argo CD. Handled seller workflow tools with Caseendra, enhancing bulk updates, tagging, and SLA tracking.
Software Engineer – Web Solutions & E-Commerce at Acer America Corporation
January 31, 2024 - July 17, 2025
Designed e-commerce features using React, Redux Toolkit, and Spring Boot, improving conversion rates. Integrated third-party payment, shipping, and loyalty services into distributed backend services. Migrated infrastructure to AWS, leveraging Docker and Kubernetes for deployment. Reduced application load times by 40% through performance tuning and GraphQL optimization. Built and maintained CI/CD workflows using GitHub Actions, Jenkins, and LaunchDarkly.
Machine Learning Research Assistant – Tumor Classification at Georgia Institute of Technology (Remote)
December 31, 2024 - July 17, 2025
Developed ML models using PyTorch, Keras, SVM, and Random Forest, achieving 94% accuracy. Tuned hyperparameters using 10-fold cross-validation, boosting recall and precision. Created visualization and experimentation tools in VS Code, backend served with FastAPI and containerized via Docker. Automated research pipelines using Python subprocess and GitLab CI.
Independent Project – High-Frequency Bitcoin Trading Platform at Independent
July 1, 2024 - Present
Built trading backend with Go, Kafka, CQRS, and gRPC for real-time order matching and wallet operations. Developed frontend with React 18, WebSocket, and TypeScript for live trading dashboard. Used Redis, PostgreSQL, and Cassandra for low-latency, distributed data storage.
Full-Stack Engineer – Seller Experience Team at Walmart Global Tech
February 1, 2024 - Present
Built and maintained key modules in the Seller Center using React 18, Next.js, and Tailwind CSS. Engineered backend microservices with Java 17, Spring Boot, and Spring Cloud, integrating with Amazon Aurora. Boosted system scalability using Java Concurrency APIs, RabbitMQ, and real-time monitoring with Micrometer and Grafana. Automated CI/CD with Docker, GitHub Actions, Kubernetes, and Argo CD. Handled seller workflow tools with Caseendra, enhancing bulk updates, tagging, and SLA tracking.
Software Engineer – Web Solutions & E-Commerce at Acer America Corporation
January 31, 2024 - July 17, 2025
Designed e-commerce features using React, Redux Toolkit, and Spring Boot, improving conversion rates. Integrated third-party payment, shipping, and loyalty services into distributed backend services. Migrated infrastructure to AWS, leveraging Docker and Kubernetes for deployment. Reduced application load times by 40% through performance tuning and GraphQL optimization. Built and maintained CI/CD workflows using GitHub Actions, Jenkins, and LaunchDarkly.
Machine Learning Research Assistant – Tumor Classification at Georgia Institute of Technology
December 31, 2024 - July 17, 2025
Developed ML models using PyTorch, Keras, SVM, and Random Forest, achieving 94% accuracy. Tuned hyperparameters using 10-fold cross-validation, boosting recall and precision. Created visualization and experimentation tools in VS Code, backend served with FastAPI and containerized via Docker. Automated research pipelines using Python subprocess and GitLab CI.
Independent Project – High-Frequency Bitcoin Trading Platform at Independent
July 1, 2024 - Present
Built trading backend with Go, Kafka, CQRS, and gRPC for real-time order matching and wallet operations. Developed frontend with React 18, WebSocket, and TypeScript for live trading dashboard. Used Redis, PostgreSQL, and Cassandra for low-latency, distributed data storage.

Education

Master of Science at Georgia Institute of Technology
January 1, 2024 - December 31, 2024
Bachelor of Science at Capital Normal University
January 1, 2015 - December 31, 2019
Master of Science at Georgia Institute of Technology
January 1, 2024 - December 31, 2024
Bachelor of Science at Capital Normal University
January 1, 2015 - December 31, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Financial Services, Healthcare, Life Sciences