Open to opportunities

Karan Rawat

@karanrawat1

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Full Stack .NET developer delivering scalable, secure web solutions.

India

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What I'm looking for

I am seeking a mid-level role building scalable, secure web or crypto platforms where I can lead end-to-end development, optimize performance, and collaborate with cross-functional teams for user-focused solutions.

I am a results-driven Full Stack Developer with 3+ years of experience, specializing in .NET technologies and front-end development. I transitioned from a Front-End Developer role to a Full Stack .NET Developer and have built responsive web applications, cryptocurrency platforms, and enterprise solutions.

I develop and maintain applications using MVC.NET, C#, MS SQL Server, and design RESTful APIs while integrating front-end technologies to deliver seamless user experiences. I have optimized database queries and data access patterns, improving application response time by 40% and implemented security best practices for financial applications.

I collaborate with cross-functional teams to deliver scalable solutions for high-traffic platforms, drive UX improvements and SEO initiatives, and lead efforts that reduced system errors and improved customer feedback and application performance.

Experience

Work history, roles, and key accomplishments

Current

Full Stack .NET Developer

Current

Taksh IT Solutions Pvt. Ltd.

Dec 2023 - Present (1 year 9 months)

Transitioned from front-end to full-stack .NET role and developed MVC.NET/C# web applications and RESTful APIs for cryptocurrency and enterprise platforms, improving response time by 40% and enforcing security best practices for financial applications.

C++ASP.NET MVC MS SQL Server RESTful APIs JavaScript React HTML5 CSS3 Performance Optimization Security Best Practices

Front-End Developer

Taksh IT Solutions Pvt. Ltd.

Nov 2021 - Dec 2023 (2 years 1 month)

Led development of responsive user interfaces, implemented front-end architecture and UX improvements that increased traffic by 25%, reduced system errors by 30%, and improved application performance by 25%.