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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
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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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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.