AI/ML Developer • Transformer Enthusiast • CSE @ Thapar Institute
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- 🎓 B.E. Computer Engineering @ Thapar University (2023–2027)
- 🤖 Passionate about building scalable AI solutions using Transformers, Neural Networks & CV
- 🚀 Actively exploring LLMs, NLP, CV, and Model Optimization
Real-time human detection + alert system using:
- ✅ Flask + OpenCV
- ✅ Haar Cascade classifiers
- ✅ SMTP + IFTTT for email alerts
- ✅ Iterative model refinement for better accuracy
A mini GPT built from scratch:
- 🧠 Self-attention, Layer Norm, Positional Encoding in PyTorch
- 📝 Trained on Tiny Shakespeare dataset
- 🌐 Deployed using Gradio + Streamlit
- 🎓 PyTorch for Deep Learning – Udemy
- 🧠 Neural Networks and Deep Learning – Coursera
- 📈 Supervised ML (Stanford) – Coursera
- 🔍 LLM Specialization – Google Cloud