class SujinSP:
def __init__(self):
self.name = "Sujin S.P"
self.degree = "B.Tech AI & ML @ SRM IST (2027)"
self.role = "Former SDE Intern @ redBus (ibibo Group)"
self.interests = ["Computer Vision", "Deep Learning",
"Explainable AI", "Cloud Architecture"]
self.currently = "Training YOLO models & deploying AI to cloud"
self.fun_fact = "I debug with print() and I'm not ashamed 🐛"
def say_hi(self):
print("Let's build something cool together 🚀")- 💼 Former SDE Intern @ redBus — secure agent communication protocols
- 🤖 Deep into Computer Vision — YOLO v8 / v11 / v12 & real-time pipelines
- 🧠 Active researcher in Explainable AI (XAI) using SHAP
- ☁️ Deploying serverless AI across AWS · Google Cloud (Vertex AI) · OCI
- 🚀 Building scalable backends, distributed systems & detection frameworks
| 🔭 Project | 📝 Description | 🛠 Stack |
|---|---|---|
| 🛒 Intelligent Shelf Monitor | Real-time retail inventory analysis using YOLOv8 & cloud integration | YOLOv8 OpenCV AWS |
| 📈 Customer Churn XAI | Cloud-native ML with Explainable AI (SHAP) for real-time transparency | SHAP XAI FastAPI |
| 🚗 AI Accident Detection | Deep learning real-time vehicular incident detection pipeline | YOLO Deep Learning |
| ☁️ Sentiment Analysis API | Serverless NLP backend on Google Cloud Run + Vertex AI | Vertex AI FastAPI GCP |
⚙️ How to activate the snake
Create .github/workflows/snake.yml in your profile repo:
name: Generate Snake
on:
schedule:
- cron: "0 */12 * * *"
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: Platane/snk@v3
with:
github_user_name: sujinjust4u
outputs: |
dist/github-contribution-grid-snake.svg
dist/github-contribution-grid-snake-dark.svg?palette=github-dark
- uses: crazy-max/ghaction-github-pages@v3.1.0
with:
target_branch: output
build_dir: dist
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
