```class MLEngineer:
def __init__(self):
self.name = "AMIRTHA"
self.role = "🤖 Building the future, one neural network at a time!"
self.role = "AI/ML & Deep Learning "
self.location = "Chennai, India 🇮🇳"
self.current_focus = ["Computer Vision", "NLP", "Deep Learning", "MLOps"]
self.learning = ["Transformers", "Diffusion Models", "Reinforcement Learning"]
def get_skills(self):
return {
"ml_frameworks": ["TensorFlow", "PyTorch", "Keras", "JAX"],
"specialization": ["Computer Vision", "NLP", "Time Series"],
"deployment": ["Docker", "FastAPI", "AWS SageMaker", "MLflow"],
"research": ["Paper Implementation", "Model Optimization", "Transfer Learning"]
}
def say_hi(self):
print("🤖 Building the future, one neural network at a time!")
me = MLEngineer()
me.say_hi()
mindmap
root((AI/ML Engineer))
Computer Vision
Object Detection
Image Segmentation
Face Recognition
OCR Systems
Deep Learning
CNNs
RNNs & LSTMs
Transformers
GANs
NLP
Text Classification
Named Entity Recognition
Sentiment Analysis
Question Answering
MLOps
Model Deployment
CI/CD Pipelines
Model Monitoring
A/B Testing
