Open to new opportunities
I design and build production systems across web, cloud, and AI. I am currently looking for my next full-time software engineering role.
Ultra-stack Software Engineer, IoT zealot, AI and machine learning enthusiast, patent awardee, and tireless learner.
I am a software engineer with 10 years of full-stack web development experience and 2 years of control algorithm research and modeling experience. I have built with React, Angular, and Vue on the frontend; Node.js, Ruby on Rails, Python, and Go on the backend; AWS and GCP in the cloud; Docker and Kubernetes for containerization; and Terraform, CloudFormation, and CDK for infrastructure.
In the AI era, I actively apply LLM and machine learning workflows to improve developer productivity and product capabilities. I enjoy solving complex problems, learning continuously, and shipping practical solutions that create measurable value.
Contact me: shengtaolicoding@gmail.com
A smart chatbot and recommendation app that learns user preferences and current mood through interactive conversations, then recommends movies, YouTube videos, and news.
Tech stack: Firebase (auth, real-time messaging, storage), Dialogflow, TensorFlow, Python Flask APIs, Celery async tasks, and React.
I handled front-end development, mood analysis, chatbot backend, and integration with multiple APIs.
A car rental platform where users can search and rent cars while admins can manage returns, inventory updates, car conditions, and billing invoices.
Built with Python Flask, Ariadne GraphQL, MongoDB, and React, then hosted on AWS with autoscaling and load balancing.
I served as tech lead: prototyped the application, researched the stack, organized Scrum meetings, and mentored engineers.
An application to monitor and maintain IoT devices and sensors tracking room temperature and light, then transmit data to a dashboard that summarizes building energy consumption.
Built with React and React Native clients, Node.js and Spring Boot services, MySQL and MongoDB, and deployed on AWS with autoscaling and load balancing.
I led the architecture, built front-end, mobile, and admin features, analyzed simulated sensor data, and drove cloud DevOps work.
A practical note on how I learn fast without losing depth.