Wang Computer Science
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As a Senior Fullstack developer with over 8 years experience, I've more than 7 years experience in React and 6 years experience in Python. In my previous project, I worked as the fullstack developer. This is the home renting platform and it used React as the frontend and Flask as the Backend. I crafted a seamless user interface based on Figma Design, proficiently managing rental properties, leases, and tenant information. Employing Redux for state management and React Hooks for code maintainability. I integrated third-party APIs for geolocation services and payment gateways, enabling users to locate properties based on location and securely process rental payments online. On the backend, I utilized Flask features to define Restful APIs, ensuring smooth integration between the frontend and backend. I built the whole PostgreSql DB schema more seamlessly and effectively to retrieve necessary data. I also utilized AWS ElasticSearch to enhance the client's search access for the cars based on their habits. To manage the Users account more securely, I implemented OAuth 2.0 and also introduced session management for users. Verson control for this project was done with Git and also I'd dockerized the script along with fetching the available homes info in real time for scheduled execution and also separately contianerize a sql server using Docker-compose. I also configured the Vercel for deployment and successfully it's running as the live server.

Also I'm very familiar with DigitalOcean and Redis. I utilized those in many projects for deployment and also monitoring performance. Redis has some advantages than other dbs like fast data access, caching and real-time data processing, and I've already experienced those features through severl project development.

Subjects

  • Computer Science Expert

  • Computer science (APCSA)

Experience

No experience mentioned.

Education

  • Bachelor's degree (Feb, 2017–Mar, 2020) from Visvesvaraya Technological University, Belagavi

Fee details

    Peso100/day (US$0.10/day)

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