π Final-year Information Technology student passionate about building intelligent and secure software.
π‘οΈ Interested in AI Security, Machine Learning, Cybersecurity, Browser Security and Large Language Models.
π I enjoy transforming research ideas into production-ready applications using modern AI technologies.
π» Currently building projects focused on:
- π LLM Security
- π Browser Security
- π€ Machine Learning
- π§ Computer Vision
- β‘ AI-powered Web Applications
π‘ PromptShield β AI Firewall for LLMs
π BrowserGuard β Privacy-first Browser Security
π AuraID β Facial Emotion Recognition
π VocalEyes β Multimodal AI Assistant
Enterprise AI Firewall for Large Language Models
Protects LLM applications against Prompt Injection, Jailbreaks, PII Extraction, and Role Manipulation using a layered AI security architecture.
Privacy-First AI Browser Security
AI-powered Chrome Extension that performs phishing and cryptojacking detection 100% locally using ONNX Runtime, WebAssembly, and XGBoost.
Real-Time Facial Emotion Recognition
Computer Vision application capable of detecting multiple facial expressions with real-time confidence prediction.
Multimodal AI Assistant
AI assistant capable of understanding voice, text, and images through modern Generative AI workflows.
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π’ STATUS : ONLINE
π‘ Building : PromptShield
π Developing : BrowserGuard
π€ Learning : Agentic AI & LLM Security
β‘ Exploring : AI Infrastructure & MLOps
π― Goal:
Design intelligent, secure and privacy-first AI systems.
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| Project | Focus Area | Core Technologies |
|---|---|---|
| π‘ PromptShield | AI Security | FastAPI Β· DistilBERT Β· Presidio |
| π BrowserGuard | Browser Security | XGBoost Β· ONNX Β· WebAssembly |
| π AuraID | Computer Vision | TensorFlow Β· OpenCV Β· MediaPipe |
| π VocalEyes | Generative AI | Gemini API Β· LangChain Β· Murf AI |
- π Final-Year Information Technology Student
- π IBM Certified β AI Agent Architect
- π§ Built multiple AI-powered applications in Machine Learning, Cybersecurity, Computer Vision and Generative AI
- π Participant β Adobe India Hackathon
- π‘ Participant β Smart India Hackathon
- π Open Source Developer
- π Continuously learning AI Security, Agentic AI, and MLOps
πΌ AI Engineer Internships
π‘ Cybersecurity Projects
π€ Open Source Collaboration
π§ AI Research
π Machine Learning Engineering Roles