Open to opportunities

Kartik Bhat

@kartikbhat

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Adaptable technology enthusiast with a passion for UI design.

India

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What I'm looking for

I am looking for a challenging role that allows me to leverage my technology skills and UI design expertise in a collaborative team environment.

As a dedicated Software Engineer, I thrive on leveraging technology to create impactful user experiences. My journey began with a BSc in Computer Science from Goa University, where I honed my skills in frontend and full-stack development. I have successfully designed and implemented various projects, including an Admin Panel that enhanced scalability and user management, and a Company Landing Page that showcases my UI design expertise.

My technical proficiency spans across a diverse tech stack, including Next.js, Tailwind CSS, and Clerk for authentication. I am passionate about continuous learning and have participated in hackathons, securing notable placements, such as 4th place for my innovative solutions. I believe in the power of collaboration and am eager to contribute to a dynamic team that values creativity and technical excellence.

Experience

Work history, roles, and key accomplishments

Software Engineer

Grudhra Solutions

Jan 2023 - Jan 2024 (1 year)

As a Software Engineer at Grudhra Solutions, I designed an Admin Panel to enhance scalability and user management. I created the company landing page and optimized applications for performance, ensuring compatibility across browsers and devices.

Frontend Development Next.js Prisma Postgres React JavaScript HTML CSS

UI Designer

Goa University

Jan 2023 - Jan 2024 (1 year)

Designed the website UI for Streat Animals Protection, Awareness, and Report solution for the NGO. Utilized HTML, CSS, and JavaScript to create an engaging user experience.

UI Design HTML CSS JavaScript Figma Canva Jira MongoDB Firebase

Participant

Don Bosco College of Engineering

Jan 2023 - Jan 2024 (1 year)

Participated in designing a Sign Language interpreter using Python and its libraries. The project involved training a model to detect hand signs and convert them into words.