🎓 Final-Year B.Tech Computer Science Student @ SRM University AP
🔬 IEEE Published Author
📜 Patent Applicant in Trustworthy AI
☁️ AWS Certified Cloud Practitioner
🛡️ Cybersecurity Intern @ APTS & APCSOC (Govt. of Andhra Pradesh)
🤖 Passionate about AI, NLP, Explainable AI, Cybersecurity, Cloud Computing, and FinTech
🌱 Currently working on:
- Loan Default Risk Analyzer using Explainable AI
- AI Hallucination Detection Research
- Secure Backend Systems with Spring Boot
- Web Application Security Assessments
- 📄 IEEE Published Author
- 📜 Patent Application Filed
- ☁️ AWS Certified Cloud Practitioner
- 🎓 Merit Scholarship (75% Tuition Waiver)
- 🥉 Bronze Medalist – Karate Kata
- 🛡️ Cybersecurity Intern – Government of Andhra Pradesh
- Published at IEEE AISP 2025
- Evaluated dialogue truncation strategies using transformer models
- Analyzed effects of context ablation using ROUGE and BERTScore
System and Method for Detecting Hallucinated Information in AI-Generated Summaries Using Multi-Stage Verification Architecture
- NLI-based verification
- Composite Faithfulness Risk (CFR) Score
- Multi-stage hallucination detection
- Sentence-level fact validation
Explored the reliability of AI-generated summaries using BART, ROUGE, BERTScore, and NLI-based faithfulness evaluation. Focused on identifying hallucinations and improving trust in Generative AI systems.
Author of the IEEE publication "The Perils of Naive Truncation: A Context Ablation Study for Dialogue Summarization on DialogSum". Investigated how context loss impacts summary quality in transformer-based dialogue summarization.
Engineered a cryptography-driven file protection system in C++ using AES encryption, SHA hashing, and secure access controls to ensure confidentiality and integrity.
Designed a secure Spring Boot backend implementing JWT-based authentication, authorization, and role-based access control for modern web applications.
Building an Explainable AI framework for NBFCs using ensemble learning, SHAP, and LIME to make credit risk predictions transparent and actionable.
Crafted a modern, interactive portfolio showcasing research, projects, certifications, and technical expertise with React, TypeScript, Tailwind CSS, and Vite.
🧠 Artificial Intelligence & Machine Learning
🔍 Explainable AI (XAI)
📚 Natural Language Processing
🛡️ Cybersecurity & Secure Software Development
☁️ Cloud Computing & Backend Systems
💹 FinTech & Data-Driven Decision Making
To build trustworthy AI systems, secure software, and scalable technology solutions that solve meaningful real-world problems while maintaining transparency, reliability, and user trust.