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I transform complex industrial challenges into intelligent, automated solutions using cutting-edge AI and machine learning. My passion lies in building production-ready systems that bridge the gap between research and real-world impact. From neural networks predicting equipment failures to full-stack platforms managing entire manufacturing processes, I architect solutions that think, learn, and evolve. |
class AmirBahrami:
def __init__(self):
self.role = "ML Engineer & AI Architect"
self.mindset = "Innovation through Integration"
self.approach = "Research → Prototype → Scale"
def solve_problem(self, challenge):
return self.ai_expertise + self.engineering_skills |
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Industrial MES with AI-Powered Analytics
Key Features:
Impact: Reduced downtime by 40%, optimized resource allocation |
Stable Diffusion + ControlNet Platform
Key Features:
Impact: 10x faster image generation with queue management |
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Neural Network-Powered Equipment Forecasting
Key Features:
Impact: 95% accuracy in failure prediction |
NLP-Powered Duplicate Detection
Key Features:
Impact: 90% reduction in duplicate entries |
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Head of Analytics & Automation Strategic AI initiatives |
Published ML Research Peer-reviewed publications |
Real-World Impact Industrial automation expertise |
