class Gururamdas:
def __init__(self):
self.name = "Gururamdas T P"
self.location = "Bengaluru, Karnataka, India"
self.education = "B.E. Computer Science & Engineering @ Alliance University (2022β2026)"
self.cgpa = 8.1
self.roles = ["Full-Stack Developer", "AI/ML Engineer", "Computer Vision Enthusiast"]
self.currently = ["Building MERN stack applications", "Exploring Vision Transformers"]
self.open_to = ["Collaborations", "Internships", "Open-Source Projects"]
self.fun_fact = "I won 1st place at ML-Blits Hackathon 2024 π"
def say_hi(self):
print("Thanks for stopping by! Let's build something amazing together.")
me = Gururamdas()
me.say_hi()
Tech: React Β· Node.js Β· Express Β· MongoDB Β· Stripe Β· Clerk Β· Cloudinary Β· Nodemailer Β· Vercel Highlights:
|
Tech: Python Β· OpenCV Β· MediaPipe Β· Vision Transformer (ViT) Β· Webcam API Highlights:
|
Tech: Python Β· YOLOv6 Β· OpenCV Β· TensorFlow/Keras Β· Custom Dataset Highlights:
|
Tech: Python Β· XGBoost Β· Random Forest Β· Decision Trees Β· SHAP Highlights:
|
| Role | Company | Duration | Location |
|---|---|---|---|
| π€ AI/ML Virtual Intern | Acmegrade | Mar 2024 β Jun 2024 | HSR Layout, Bengaluru |
Key Contributions:
- Developed & deployed ML models (XGBoost, Random Forest, Decision Trees) for employee attrition prediction
- Applied SHAP (Shapley Additive Explanations) to interpret model outputs & identify key attrition drivers
- Improved model prediction accuracy by ~12% through iterative tuning and cross-validation
- Built end-to-end pipeline: data collection β feature engineering β risk scoring β actionable HR insights
| Degree | Institution | Period | Score |
|---|---|---|---|
| π B.E. Computer Science & Engineering | Alliance College of Engineering and Design, Bengaluru | Dec 2022 β Apr 2026 | CGPA: 8.1 |
| π PUC β PCMB (Science) | Sri Basaveshwara PU College, Davangere | Aug 2020 β Apr 2022 | 85% |
| π₯ Achievement | Details |
|---|---|
| 1st Place β ML-Blits Hackathon | Built an end-to-end ML solution β’ Alliance University, Bengaluru β’ Oct 2024 |
| Oracle Certified β Generative AI Professional | Oracle Cloud Infrastructure Generative AI certification |
| Coursera β Reinforcement Learning in Finance | Applied RL techniques in financial decision-making |
| Coursera β Data Security and Privacy | Fundamentals of securing data pipelines and user privacy |
β οΈ To enable the contribution snake, add a GitHub Actions workflow β see Platane/snk for setup instructions.


