class AIArchitect:
def __init__(self):
self.identity = {
"name": "Onur Oduncu",
"role": "Senior AI Engineer",
"focus": ["LLM Systems", "MLOps", "AI Research"]
}
self.tech_stack = {
"core": ["PyTorch", "TensorFlow", "JAX"],
"mlops": ["Docker", "K8s", "MLflow"],
"cloud": ["AWS", "GCP", "Azure"]
}
self.research_areas = [
"Large Language Models 🤖",
"Multimodal AI Systems 🎯",
"Reinforcement Learning 🔄",
"Neural Architecture Search 🧬"
]
def mission_statement(self):
return "Architecting intelligent systems that push the boundaries of AI"
engineer = AIArchitect()
print(f"Mission: {engineer.mission_statement()}")- Large Language Models: Architecture design, training optimization, and deployment at scale
- MLOps & Infrastructure: End-to-end ML pipelines, distributed training, and monitoring systems
- Deep Learning Research: Novel architectures, optimization techniques, and performance tuning
- AI System Integration: Microservices architecture, API design, and scalable AI solutions
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