import chamara as ml_enthusisat •
from srilanka import tech_innovation •
while True: learn()
areas_of_expertise = {
"Machine Learning": ["Supervised Learning", "Unsupervised Learning", "Reinforcement Learning"],
"Deep Learning": ["CNNs", "RNNs", "Transformers", "GANs", "Attention Mechanisms"],
"Data Science": ["Statistical Analysis", "Exploratory Data Analysis", "Feature Engineering"],
"Computer Vision": ["Object Detection", "Image Segmentation", "Visual Recognition"],
"NLP": ["Text Classification", "Named Entity Recognition", "Sentiment Analysis"],
"MLOps": ["CI/CD for ML", "Model Monitoring", "Deployment Strategies"]
}def current_focus():
return {
"research": "Generative AI and Foundation Models",
"learning": "MLOps and Large Scale Model Deployment",
"building": "End-to-End ML Systems with Real-time Inference"
}
"The goal is to turn data into information, and information into insight." – Carly Fiorina