Vikram Singh Sisodiya

Software Developer Intern

Udaipur, IN.

About

2025 batch B.Tech in Computer Science student.

Work

Plutonic Services

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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.

Rudra Technologies

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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.

Education

Techno India NJR

Bachelor of Technology Computer Science

Central Academy Senior Secondary School

Courses

PCM (Physics, Chemistry, Mathematics)

Skills

Languages

Python, C/C++, JavaScript, MySQL, CSS, HTML5.

Frameworks and Libraries

React.js, Bootstrap, Django, Pandas, NumPy, Matplotlib, Seaborn.

Relevant coursework

Artificial Intelligence, Machine Learning, Neural Networks, Operating Systems, Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, OpenSource Contributions, Communication.

Projects

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.

Blog Website

Summary

Built the frontend of a blog website, enabling users to post, view, and manage blogs, leading to a 20% boost in user participation.

Thalassemia Prediction

Summary

Developed a predictive model for classifying thalassemia risk factors based on supplied data features.