Talent's Information
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Location
Pune, India
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Rate
$10.0 per Hour
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Experience
4 Year
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Languages Known
English,Hindi
Available for
Background Verification
40 Hr/Week
About Yash D
Passionate about building awesome web user experiences & making modern web applications work as they should: beautiful, efficient, fast, and easy to use
I am a Software engineer with an eye for web performance. Building lightning-fast web applications. I always ensure that every solution that is developed, is efficient in working and brings tangible results to all.
With Emphasis on core web vitals, and automation with CI/CD. In-depth experience with Next.js and managing serverless cloud infrastructure with AWS CDK (infrastructure as code) & Vercel
Work Experience
Full Stack Developer
- January 2019 - December 2022 - 4 Year
- India
Projects
E-commerce Website For Cricket Prediction
- January 2019 - May 2019 - 5 Months
Role & Responsibility
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Developing features, Optimising performance, introducing features that would
be beneficial in terms of sales. Integrated CC-Avenue Payment Gateway for
online payment collecting. Later migrated the backend Restful Express API to AWS lambda.
Admin Panel For E-commerce Cricket Prediction
- June 2020 - January 2021 - 8 Months
Role & Responsibility
Created Features to track Customers, Sales, Prediction, and many other analytics of the business.
Admin Panel For E-commerce Cricket Prediction
- June 2020 - January 2021 - 8 Months
Role & Responsibility
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This application was built by my brother but I was responsible for creating the UI of
the app and doing small bug fixes to the application.
Just worked on this Flutter Project to know about the buzzword “FLUTTER”
. App: Playstore | Appstore (Growbox Positive Affirmations)
Urban Ledger App Website & Admin Panel
- February 2021 - January 2022 - 12 Months
Role & Responsibility
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Website built on Next js using vercel serverless functions for the form submissions. Adding features to the API like automatically protecting the routes, Adding Cipher to encrypt the Credit Card/ Bank Account Details of the users, etc. Deploying the api to AWS using AWS code pipeline, using NGINX for load balancing, and using it as a reverse proxy
