Aman Gupta
Full Stack Developer | AWS Cloud Architect | Problem Solver
I am a building-focused software engineer. I'm now working on frontend and backend development for Invock Digital.
Biography
Personal Info
- Name: Aman Gupta
- Email amangupta201407@gmail.com
- Location: Bhopal, India
Hello! I'm Aman Gupta, a Full Stack Developer passionate about crafting seamless user experiences and robust backend systems. With expertise in React.js, Node.js, and AWS, I love turning complex challenges into elegant solutions.
When I'm not coding, you can find me exploring new technologies and collaborating with others to bring innovative ideas to life. Let's build something amazing together!
Skills
Frontend Technology
- Core Technologies
- HTML
- CSS
- JavaScript
- Frameworks & Libraries
- React.js
- Next.js
- Redux
- Vue.js
- Styling Tools
- Tailwind CSS
- Styled Components
- Material UI
- Bootstrap
Backend Technology & Databases
- Node.js
- Express.js
- Loopback.io
- Python
- Java
- MongoDB
Cloud Technology
- AWS
- Heroku
- Vercel
- Netlify
- Digital Ocean
Tools
- Git
- GitHub
- VS Code
- Postman
- Jira
Work Experience
Full Stack Cloud Engineer
- Invock Digital
- Oct 2021 - Present
- Mumbai, India
As a Software Engineer at Invock Digital, I lead the development and optimization of complex web applications, ensuring high performance and scalability. My focus is on delivering efficient, user-friendly solutions using modern technologies like React.js, Node.js, and AWS. With a strong background in full-stack development, I have significantly contributed to several key projects, enhancing both the frontend and backend performance of our products.
Achievements
- Performance Improvement: Reduced API response time by 30% and improved frontend load time by 25%, leading to a better user experience and higher user retention rates.
- Scalability: Designed and implemented scalable backend solutions that handled a 50% increase in traffic without compromising performance.
- Automation: Automated the CI/CD pipeline, reducing deployment times by 40% and minimizing manual errors.