class JeevanKhatri:
def __init__(self):
self.role = "AI Engineer in Training"
self.education = "BSc (Hons) Computer Science with AI @ Sunway College Kathmandu"
self.location = "Kathmandu, Nepal 🇳🇵"
self.focus = ["Computer Vision", "Deep Learning", "MLOps", "IoT Automation"]
self.currently_building = "TerraNode — smart agriculture automation platform"
self.wins = [
"🥇 1st place — IDEAS for IMPACT Hackathon 2025 (Halo AI)",
"📄 Research paper published @ NCCI 2025",
"🏎️ F1 race prediction model — 0.91 ROC-AUC",
]
def mission(self):
return "Build intelligent systems that make real-world impact."
| Project | What it is | Stack |
|---|---|---|
| 🌱 TerraNode | Smart agriculture platform — 7-in-1 RS485 soil sensor (NPK, pH, EC, moisture, temp) + ESP32, automated irrigation | ESP32 · MAX485 · Python |
| 🧠 CIFAR-10 MLOps | End-to-end DL pipeline: orchestration, experiment tracking, serving, deployment | Airflow · MLflow · FastAPI · Docker · AWS |
| 🌾 Halo AI | CNN-based smart agriculture platform — 🥇 IDEAS for IMPACT Hackathon 2025 winner | PyTorch · CNN |
| 🏎️ F1 Race Predictor | Race outcome prediction model, ~0.91 ROC-AUC | scikit-learn · Pandas |
| 🕶️ EDITH | DIY AR glasses — ESP32-S3 Sense + Gemini voice-and-camera pipeline | ESP32-S3 · VLM |
$ echo $CONTACT
> jeevankhatri001@gmail.comCode. Learn. Build. Impact.