Results-driven AI/ML professional with a background in electrical and mechanical systems, now transitioning into applied machine learning through UC Berkeley’s rigorous AI/ML certification. Adept at designing intelligent solutions by fusing hands-on engineering experience with modern data science tools. Skilled in Python programming, model development, and NLP for real-world troubleshooting, root cause analysis, and predictive maintenance applications. Proficient in end-to-end ML workflows including data cleaning, feature engineering, model evaluation, and deployment strategies.
Brings a unique edge in applying machine learning to complex physical systems, with projects focused on embedding AI into industrial diagnostics and decision automation. Demonstrated ability to translate technical challenges into scalable ML solutions, driving operational efficiency, insight generation, and system optimization. Committed to continuous innovation at the intersection of engineering and artificial intelligence.
AI for Predictive MaintenanceRoot Cause Analysis via NLP