#!/usr/bin/env python3
# ─────────────────────────────────────────────
# WHO AM I? Let the code speak 🤖
# ─────────────────────────────────────────────
from dataclasses import dataclass, field
from typing import List
@dataclass
class RachiRajpal:
name : str = "Rachi Rajpal"
role : str = "B.Tech CSE '27 @ JUET"
location : str = "India 🇮🇳"
focus : List[str] = field(default_factory=lambda: [
"Artificial Intelligence 🤖",
"Machine Learning 📊",
"Deep Learning 🧠",
"Computer Vision 👁️",
])
stack : List[str] = field(default_factory=lambda: [
"Python • Java • C++",
"TensorFlow • PyTorch • Keras",
"Scikit-learn • OpenCV • MLflow",
"NumPy • Pandas • Matplotlib",
])
currently : str = "Exploring Transformers & LLMs 🔬"
building : str = "Contributing to GSSoC 2026 🚀"
goal : str = "AI / ML Engineer @ a top tech company 🎯"
open_to : List[str] = field(default_factory=lambda: [
"AI/ML Internships 💼",
"Open Source Collabs 🌍",
"Research Projects 📄",
])
fun_facts : List[str] = field(default_factory=lambda: [
"I debug ML models at 2AM ☕",
"My loss curves are works of art 📉",
"I read papers for fun (send help) 📚",
])
def say_hi(self) -> str:
return (
f"Hey! I'm {self.name} 👋\n"
f"Passionate about building intelligent systems\n"
f"that actually make a difference. Let's connect!"
)
# ─── Run ──────────────────────────────────────
if __name__ == "__main__":
me = RachiRajpal()
print(me.say_hi())
print("\n🚀 Always learning. Always building.")
| 🔧 Area | 💡 Skills |
|---|---|
| Core ML | Model training · Feature engineering · Performance evaluation · Data preprocessing |
| Deep Learning | Neural networks · CNNs · Attention mechanisms · 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 | MLflow experiment tracking · AWS & Azure cloud compute |
2024 ─────────────────────────────────────────────────────── 2027
│ │
●── ML Fundamentals ●── Deep Learning ●── Research & OSS
│ Scikit-learn │ CNNs, RNNs, NLP │ Contributions
│ NumPy, Pandas │ Transformers │ Publications
│ Feature Engineering │ TF / PyTorch │
│ │ └── 🎯 AI Engineer
└── Real-world Datasets └── Computer Vision
| Focus Area | |
|---|---|
| 🔬 | Deep Learning architectures — CNNs, attention mechanisms, transformers |
| 🧪 | Model optimization & hyperparameter tuning |
| 📦 | ML experiment tracking with MLflow |
| ☁️ | Cloud deployment of ML models on AWS/Azure |
| 🤝 | Open Source contributions via GSSoC 2026 |
💼 Actively seeking AI/ML internships, open-source collabs, and project partnerships
If you're building something intelligent and impactful — let's talk!
