K-Textile
Summary
Engineered the frontend of an online clothing store using React and CSS3, resulting in a 30% boost in responsiveness and a 25% rise in user interaction.
2025 batch B.Tech in Computer Science student.
Software Developer Intern
Highlights
Developed frontend solutions for OZII, Law Seva, and TextBerry, using React.js, Ant Design, Tailwind CSS, Git/GitHub, and Python, enhancing user experience by 30%.
Optimized OZII modules, decreasing office management time by 20% and elevating team productivity.
Streamlined Law Seva's document management, reducing processing time by 25%.
Built key features for OZII, such as time tracking, grievance management, and function comparisons, accelerating task resolution time by 25% and optimizing office operations.
Enhanced API handling, reducing response times by 30% and ensuring peak performance under heavy traffic.
Trainee
Highlights
Engineered a React feature that boosted user engagement by 20% and accelerated load speed by 30%, driving improved business outcomes in a technology-driven environment.
Conceived innovative design solutions that seamlessly integrated aesthetic appeal with functionality, resulting in a significant increase in user engagement, with average session duration extending by 25%, directly addressing business needs.
Bachelor of Technology
Computer Science
Courses
PCM (Physics, Chemistry, Mathematics)
Python, C/C++, JavaScript, MySQL, CSS, HTML5.
React.js, Bootstrap, Django, Pandas, NumPy, Matplotlib, Seaborn.
Artificial Intelligence, Machine Learning, Neural Networks, Operating Systems, Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, OpenSource Contributions, Communication.
Summary
Engineered the frontend of an online clothing store using React and CSS3, resulting in a 30% boost in responsiveness and a 25% rise in user interaction.
Summary
Built the frontend of a blog website, enabling users to post, view, and manage blogs, leading to a 20% boost in user participation.
Summary
Developed a predictive model for classifying thalassemia risk factors based on supplied data features.