Hi, my name is
Ayush Jaipuriyar.As a MERN developer, I'm like a clumsy magician attempting tricks, occasionally pulling off miracles amidst a sea of errors.
I am passionate software developer specializing in full-stack web development with the MERN stack. My expertise lies in languages like C/C++, Python, and JavaScript, and I have successfully built websites and developed a movie recommendation system.
I am committed to continuous learning and growth in the field, always seeking new challenges to enhance my skills and deliver impactful solutions.
About Me
As a full-stack developer with experience in building robust and secure web applications, I have gained expertise in the MERN stack, Express.js, MongoDB, and React.js. During my internship at Gail Training Institute, I built a sleek and minimalistic website, improving user experience by reducing the website loading time by 30%. As a mentee at Microsoft Engage 2022, I developed a recommendation system using Python, Flask, and ReactJS to predict movies based on users' past ratings. Furthermore, I designed an interactive web page to showcase the recommended movies, with endpoints designated for receiving and transmitting requests. I also published a Bash script on the Arch User Repository to modify performance modes and battery charging options on the Lenovo Ideapad Slim 5 AMD laptop.
Here are a few technologies that I have worked on:
- C/C++
- Python
- Java
- HTML
- CSS
- Javascript
- ReactJS
- MongoDb
- Nextjs
- Express.js
- Node.js
- SQL
- Flask
- pandas
- NumPy
- Matplotlib
- Scikit-learn
- Git
- Docker
- Google Cloud
![profileimg](/_next/static/media/profile.3ec2c5fa.png)
Experiences
- AST Consulting
- Gail Training Institute
- Microsoft Engage 2022
Software Devloper Engineer InternAST Consulting
3 Months
- Spearheaded the development of a scalable backend infrastructure using NestJS, MongoDB, and Vite, resulting in a cleaner typescript codes, because of NestJS module micro-architecture.
- Orchestrated the integration of AWS services, optimizing image storage and retrieval, which led to a 50% improvement in image loading speed and a 20% reduction in overall data transfer latency.
- Designed and executed dynamic schedulers that adapt to timezones
- Developed a Telegram bot, enhancing user interaction and experience automating key processes, resulting in a 25% usage by users.
- Integrated social media accounts, consolidating analytics data and providing insights that contributed to a 10% increase in user acquisition and a 15% growth in social media engagement.
- Utilized OpenAI and attempted to integrate in/-house AI models for content generation
- Integrated Chargebee and Stripe payment gateways to streamline payment processing and enhance the platform’s financial capabilities.
- Established an analytics framework by connecting Google Analytics and Microsoft Clarity, leading to actionable insights that improved user journey and resulted in a 30% increase in conversion rates.
- Set up CI/CD pipelines on AWS, reducing deployment time by 40% and ensuring 95%+ uptime of the platform.
- Introduced a comprehensive code review process on GitHub, resulting in a 30% decrease in post-release defects and 20% faster feature delivery.age with designated endpoints for receiving and transmitting requests for getting recommended movies and submitting movie ratings
Projects
Other Projects
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WHATS NEXT
GET IN TOUCH
I'm a talented and ambitious soon-to-be graduate, actively seeking thrilling opportunities to ignite my career and bring the spotlight to my passion.