Gauravi Suryavamshi
@gauravisuryavamshi
Machine learning intern building explainable, privacy-aware AI systems.
What I'm looking for
I’m an AI/ML-focused student currently pursuing B.Tech (Hons.) in Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning. In my internship work, I built a real-time mood-detection music recommendation system (MoodSync), training and evaluating classification models across 5+ mood categories while designing an end-to-end pipeline from input capture to personalized recommendations.
I also gained hands-on security experience through a cybersecurity internship, conducting vulnerability assessments and penetration testing on internal lab networks, identifying 10+ weaknesses and producing detailed mitigation reports. I’m motivated by practical, high-impact engineering—combining Generative AI, Federated Learning, and Explainable AI (XAI) with tools like Streamlit and Git to deliver trustworthy, user-centered solutions.
Experience
Work history, roles, and key accomplishments
Machine Learning Intern
R V University
Jul 2025 - Sep 2025 (2 months)
Built MoodSync, a real-time emotion-based music recommendation system by combining ML mood detection with a dynamic song suggestion engine. Trained and evaluated facial-expression classification models across 5+ mood categories and designed the end-to-end pipeline from input capture to recommendation output to reduce manual music curation effort.
Cybersecurity Intern
R V University
Jul 2024 - Sep 2024 (2 months)
Performed vulnerability assessments and penetration testing on internal lab networks, identifying and documenting 10+ security weaknesses. Analyzed phishing, SQL injection, and XSS attack vectors and produced mitigation reports, while simulating scenarios using Wireshark and Kali Linux to strengthen network traffic analysis and exploit detection.
Education
Degrees, certifications, and relevant coursework
RV University
Bachelor of Technology (Honours), Computer Science and Engineering
2023 -
Grade: CGPA: 7.75; SGPA: 8.36
Pursuing B.Tech (Hons.) in Computer Science and Engineering at RV University (Aug 2023–present), specializing in Artificial Intelligence and Machine Learning. CGPA is 7.75 and SGPA is 8.36.
BGS PU College
Pre-University Course, Pre-University Studies (PCMB – Science)
2021 - 2023
Grade: 93.16%
Completed the Pre-University Course (PCMB – Science) at BGS PU College (2021–2023), scoring 93.16%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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