Sri Sravya Valluri
Master’s Student in Computer Science at the University of Florida
Pursuing advanced studies in Computer Science while seeking research and internship opportunities in AI/ML.
Intro
I am Sri Sravya Valluri, a Computer Science Master’s student at the University of Florida and a former Software Engineer at Volkswagen Group Technology Solutions. My career has been driven by a passion for building intelligent systems that create a real-world impact, particularly in the realms of AI, medical imaging, and cybersecurity. I have successfully published research on using CNNs for bone cancer detection and have experience optimizing data pipelines and monitoring security events in the automotive sector. Currently, I am focused on deepening my expertise in computer vision and machine learning while actively seeking Summer 2026 internships and research collaborations. I’m always excited to share insights or streamline new projects with like-minded professionals who value clinical trust in AI and interdisciplinary innovation.
Networking
What I can offer
- ›Technical expertise in AI/ML pipelines and image classification
- ›Experience in cybersecurity monitoring and SIEM tools
- ›Full-stack software development and SQL optimization skills
What I'm looking for
- ›Summer 2026 Internships
- ›Research assistantships in machine learning and medical imaging
- ›Collaborative projects in computer vision
Best fit for
Focus
Current interests
Core competencies
Background
Career
Transitioned from a Software Engineer at Volkswagen Group Technology Solutions India to pursuing a Master's in Computer Science at the University of Florida.
Education
Master of Science in Computer Science, University of Florida (2025 – 2027); Bachelor of Technology (Honors) in Computer Science and Engineering, JNTU Kakinada (2020 – 2024).
Achievements
- ›Published research on bone cancer detection with 92% accuracy on IEEE Xplore
- ›Top 5 Finalist in Volkswagen i.mobilathon 3.0 hackathon
- ›Global rank of 1499 in Smart Interviews DSA course
- ›Graduated with B.Tech Honors and a CGPA of 8.94/10
Opinions
- Building intelligent systems should create real-world impact
- Explainable AI is essential to build clinical trust in healthcare applications
- Continuous upskilling through hackathons and certifications is vital
Personality
Communication style
Professional, enthusiastic, and achievement-oriented with structured content.
Formality — 8/10
Vocabulary