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Computer Science undergraduate focused on front-end, cloud, and generative AI.

India
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What I'm looking for

I seek hands-on roles in front-end or full-stack teams at innovative companies, where I can build real-time applications, work with cloud/GenAI technologies, and grow into more advanced engineering responsibilities.

I am a motivated Computer Science undergraduate with strong experience in front-end development, cloud technologies, and generative AI. I build responsive, real-time applications and integrate frontends with REST APIs to deliver seamless user experiences.

During a Full Stack Development internship at ZenGen Technologies (Toyota “Mirra and Mirra”), I developed responsive UIs using React, JavaScript, Express.js and Tailwind, implemented dynamic forms and data tables with search and pagination, and collaborated closely with backend teams for smooth data handling.

I have built several projects including a Zomato Real-Time Restaurant Tracker with REST APIs and image-based search, an Optimal Ship Routing solution leveraging Web3 and real-time weather data to reduce fuel consumption, and a Weather Forecast Android app integrating live APIs. These projects demonstrate my ability to design end-to-end solutions across web, mobile, and blockchain domains.

I continually expand my skills through certifications in Front-End Web Development, Google Cloud AI & Machine Learning (Vertex AI/GenAI), and responsive web design, and I thrive in innovative teams where I can contribute hands-on development work while growing my technical expertise.

Experience

Work history, roles, and key accomplishments

ZT
Current

Full Stack Development Intern

ZenGen Technologies

Apr 2025 - Present (1 year 2 months)

Developed responsive UIs and dynamic forms for Toyota Mirra modules (Vendors, Quotations, Purchase Orders) and integrated React front-end with RESTful APIs to enable seamless data handling.

Education

Degrees, certifications, and relevant coursework

GE

Gayatri Vidya Parishad College of Engineering

Bachelor of Technology, Computer Science & Engineering

Grade: 8.78/10

Pursuing Bachelor of Technology in Computer Science & Engineering with a CGPA of 8.78/10.

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