A results-driven AI Engineer building and deploying end-to-end machine learning solutions. Skilled in everything from data pipeline development to production-ready model deployment. Expert in applying advanced deep learning, natural language processing (NLP), and cloud-native technologies to create scalable, intelligent systems that drive automation and innovation.
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             Python  | 
        
             PyTorch  | 
        
             TensorFlow  | 
        
             ChatGPT  | 
        
             JavaScript  | 
        
             React  | 
        
             TypeScript  | 
        
             Vue  | 
        
             Angular  | 
    
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             Next.js  | 
        
             FastAPI  | 
        
             Flask  | 
        
             Docker  | 
        
             Kubernetes  | 
        
             AWS  | 
        
             GCP  | 
        
             Azure  | 
        
             Linux  | 
    
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             MySQL  | 
        
             PostgreSQL  | 
        
             MongoDB  | 
        
             Redis  | 
        
             GraphQL  | 
        
             Git  | 
        
             CI/CD  | 
        
             LaTeX  | 
        
             VS Code  | 
    
- AI/ML Development: Model training, evaluation, and deployment (CV, NLP, tabular data)
 - MLOps & Infrastructure: SageMaker, Vertex AI, MLflow, Docker, Kubernetes, CI/CD for ML
 - Data Engineering: Data wrangling, ETL, Spark, SQL/NoSQL, scalable data pipelines
 - Natural Language Processing: Transformers, LLMs, summarization, classification, vector search
 - Model Monitoring: Drift detection, explainability (SHAP, LIME), performance tracking
 - Tools: Python, TensorFlow, PyTorch, Scikit-learn, FastAPI, Git, Jupyter
 



