AI/ML Student | Passionate about Technology,Innovation & Philosophy | Turning Data into Intelligence
I'm an Artificial Intelligence and Machine Learning student with a deep curiosity for how machines learn, reason, and make decisions. I enjoy working on data-driven problems and building models that bridge the gap between raw information and real-world impact.
- 🎓 Currently pursuing studies in AI & Machine Learning
- 🌱 Actively learning Deep Learning, NLP, and Computer Vision
- 🔍 Interested in end-to-end ML pipelines — from data wrangling to model deployment
- 🤝 Open to collaborations, research projects, and internship opportunities
- 💬 Ask me about Python, ML algorithms, or anything data-related
| Project | Description | Tech Stack |
|---|---|---|
| 🔢 Handwritten Digit Classifier | A CNN-based model to classify handwritten digits using the MNIST dataset | Python, TensorFlow, Keras |
| 📊 Exploratory Data Analysis | In-depth EDA on a real-world dataset with visual insights | Python, Pandas, Matplotlib, Seaborn |
| 🤖 ML Model Comparison | Benchmarking classification algorithms on a structured dataset | Scikit-learn, Python |
| 🌐 (Coming Soon) | NLP / Computer Vision project currently in progress | PyTorch, Transformers |
📌 More projects will be added as I continue learning and building.
- 🧠 Deep Learning — CNNs, RNNs, LSTMs, and Transformers
- 💬 Natural Language Processing (NLP) — Text classification, sentiment analysis, and language models
- 👁️ Computer Vision — Image recognition, object detection, and segmentation
- ⚙️ ML Deployment — Packaging and serving models with Flask / FastAPI
- 📈 Kaggle Competitions — Applying skills to real-world competitive datasets
"Learning is never cumulative; it is a movement of knowing which has no beginning and no end" —jiddu krishnamurthy