class RachiRajpal:
def __init__(self):
self.role = "B.Tech CSE Student (Batch 2027)"
self.focus = ["Artificial Intelligence", "Machine Learning", "Deep Learning"]
self.languages = ["Python", "Java", "C++", "JavaScript", "R", "PHP"]
self.tools = ["TensorFlow", "PyTorch", "Scikit-learn", "OpenCV", "MLflow"]
self.platforms = ["Git/GitHub", "Jupyter", "Google Colab", "AWS", "Azure"]
self.currently = "Exploring deep neural network architectures"
self.goal = "Grow as an AI/ML Engineer & build impactful intelligent systems"
self.open_to = ["AI/ML Internships", "Collaborative Projects", "Open Source"]
def say_hi(self):
print("Thanks for visiting! Let's build something intelligent together.")
me = RachiRajpal()
me.say_hi()| Area | Skills |
|---|---|
| Core ML | Model training, feature engineering, performance evaluation, data preprocessing |
| Deep Learning | Neural networks, CNNs, learning architectures with TensorFlow & Keras |
| Data Science | End-to-end pipelines, EDA, visualization with Matplotlib, Plotly, Seaborn |
| Engineering | DSA, OOP, algorithm design, version control with Git |
| Cloud & Deploy | Experiments tracked via MLflow, cloud compute on AWS & Azure |
Languages
AI / ML / Data
Data & Visualization
Web & Frameworks
Cloud & Databases
Tools & Environments
2024 ──────────────────────────────────────────────────────────────── 2027
│ │
●── ML Fundamentals ●── Deep Learning ●── Research &
│ Scikit-learn, NumPy │ CNNs, RNNs, NLP │ Open Source
│ Feature Engineering │ TensorFlow/PyTorch │ Contributions
│ │ │
└── Real-world Datasets └── Computer Vision └── AI Engineer 🎯
- 🔬 Deep Learning architectures — CNNs, attention mechanisms, transformers
- 🧪 Model optimization & hyperparameter tuning
- 📦 ML experiment tracking with MLflow
- ☁️ Cloud deployment of ML models on AWS/Azure
I'm actively looking for AI/ML internships, open-source collaborations, and project partnerships. If you're working on something intelligent and impactful — let's talk.
"The best way to predict the future is to build it."