Building scalable systems, securing networks with AI, and engineering cloud-native solutions.
A focused year of deep engineering, AI research, and full-stack system design.
- MSME Hackathon Finalist — AI-driven VANET security solution
- Sybil Attack Detection (VANETs)
- Transformer + CNN Hybrid Architecture
- 96% accuracy on the VereMi Dataset
- Optimized with AdamW
- Published as an IEEE-ready research work
- MERN Portfolio Platform
- Visitor analytics
- Guestbook system
- Clean, responsive UI
- Task Management System
- JWT Authentication
- Role-based access
- MongoDB aggregations
- Local AI Systems
- DistilGPT-2, T5-Small
- Offline inference workflows
- Image Caption Generator
- AWS Restart Graduate
- Preparing for AWS CLF-C02
- Solved 200+ DSA problems (LeetCode / GFG)
| Languages | Frontend | Backend & DB | AI & Cloud |
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| Project | Stack | Highlights | Status |
|---|---|---|---|
| 🛡️ Sybil Attack Detector | PyTorch, Transformers, CNN | 96% accuracy, VANET security | ✅ Completed |
| 📸 AI Caption Generator | DistilGPT-2, spaCy | Offline captioning using LLMs | 🔄 In Progress |
| 🌐 Smart Portfolio | MERN | Analytics + Guestbook | ✅ Live |
| ✅ TaskMaster | MERN, Redux | Secure auth, modular design | ✅ Completed |
My Hardware Setup
- Laptop: Dell G15 5520 (2022)
- CPU: Intel i7-9700K
- RAM: 16GB Corsair
- Motherboard: ASUS ROG Strix B365-F
- OS: Windows 11 + Linux
