dikesh gautam
@dikeshgautam
Final-year B.E. student eager to tackle cybersecurity challenges.
What I'm looking for
I am a final-year B.E. student specializing in Artificial Intelligence and Machine Learning, driven by a passion for cybersecurity. My academic journey has equipped me with a solid foundation in programming and cybersecurity tools, and I am eager to apply my beginner-level skills in Vulnerability Assessment and Penetration Testing (VAPT), accessibility testing, and Python scripting.
During my internships, I have gained hands-on experience as an Application Developer and Web Developer, where I built an Android app using React Native and improved the usability of educational sites. My projects, including a Web Vulnerability Scanner and a VPAT Accessibility Audit Report, showcase my commitment to enhancing security and accessibility in digital platforms. I am excited to bring my skills to a Cyber Security Internship at ConversAIlabs, where I can contribute to real-world challenges.
Experience
Work history, roles, and key accomplishments
Application Developer Intern
NY Online Solutions
Jun 2023 - Dec 2023 (6 months)
Developed an Android application using React Native and integrated Firebase for authentication and real-time data storage, enhancing user experience and app functionality.
Cybersecurity Intern
ConversAIlabs
Sep 2023 - Oct 2023 (1 month)
Engaged in cybersecurity projects focusing on vulnerability assessments and accessibility testing, utilizing tools like WAVE and Axe DevTools to identify and document violations.
Web Developer Intern
Suvidha Foundation
Jan 2023 - Feb 2023 (1 month)
Contributed to the development of an educational website for children by working on both frontend and backend, focusing on improving usability and learning interfaces.
Education
Degrees, certifications, and relevant coursework
Universal College of Engineering
Bachelor of Engineering, Artificial Intelligence and Machine Learning
2021 - 2025
Grade: 7.33/10.00
Pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning with a CGPA of 7.33/10.00. Coursework includes Artificial Intelligence, Operating Systems, Machine Learning Algorithms, Deep Learning, Natural Language Processing, and Computer Vision.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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