Vivek Varma Kothapalli

Passionate and detail-oriented front-end developer with hands-on experience in building user-friendly company portals using AngularJS. Proficient in developing dynamic, responsive web applications, and integrating APIs seamlessly with TypeScript. Skilled in utilizing Reactive Forms for complex form management, and ensuring smooth user interactions. Possesses a solid understanding of SQL for data management and collaboration with backend systems. Passionate about creating intuitive, scalable solutions, with a focus on high-quality user experiences and clear documentation.

Malicious Hashtag Detection
Developed a system to detect malicious hashtags from a Twitter dataset, identifying tags related to criminal activities such as smuggling, kidnapping, and threats. Leveraged statistical methods, machine learning, and natural language processing techniques to analyze and classify suspicious words and hashtags. Achieved 89% accuracy in detecting potential criminal context.

Horse and Human Eye Detection
Created an application to detect and identify horse and human eyes in digital images using advanced machine learning techniques. Implemented a Convolutional Neural Network (CNN) to achieve high accuracy rates, with 93.4% for horse eye detection and 94.6% for human eye detection.

• ISMRITI - Machine learning and AI

Core Committee Member & Management Head | IEEE TEMS, VIT
12/2018 – 12/2021

Led the daily operations of the IEEE TEMS chapter, driving outreach initiatives within the university campus to enhance chapter engagement. Actively collaborated with students to foster growth and development of the chapter. Organized and hosted technical sessions on emerging technologies (e.g., HTML, CSS) to promote skill development. Secured sponsorships for major events during the Technology Fest (GRAVITAS), contributing to the success and scale of the event. Demonstrated strong leadership in team management, public speaking, and event coordination.

• NCC certificate - A