B.E. CSE (AI/ML) @ Chandigarh University Shipping deep learning systems and competitive algorithms.
- Languages & DSA: Python, C++, Java 17, SQL, Data Structures & Algorithms
- AI & ML: TensorFlow, PyTorch, Scikit-learn, XGBoost, NLP, Deep Learning, Transfer Learning
- GenAI & LLMs: LLMs, Fine-tuning, RAG, Prompt Engineering, Embeddings, ChromaDB
- Backend: FastAPI, REST APIs, PostgreSQL, Linux, Git
- Specialized: RNNs, LSTMs, CNNs, ResNet, Edge Computing, Real-time Inference
- Deep Learning Fake News Detector | TensorFlow, Transformers, RNN/LSTM — Sequential text classification with Word2Vec & BPE tokenization
- Driver Drowsiness Detection | MediaPipe, OpenCV — Edge-optimized facial monitoring (94–96% accuracy)
- CIFAKE | ResNet50, Transfer Learning — Real vs AI-generated image classifier (85%+ accuracy)
- NOVA | Gemini API, Voice Processing — Voice-first AI interface with multimodal capabilities
- Advanced DSA patterns (binary search, DP optimization, sliding window variants)
- Research implementations in deep learning
- Placement prep — DSA + ML systems interview focus
- TEKATHON 2026 — Top 40 out of 1,500+ teams (Smart India Hackathon)
- Hackverse 2024 — 2nd Place National (Healthcare AI)
- BuildVerse 6.0 — 5th Place National (OSINT Analytics)
