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.
| Python | PyTorch | TensorFlow | ChatGPT | JavaScript | React | TypeScript | Vue | Angular | 
| Next.js | FastAPI | Flask | Docker | Kubernetes | AWS | GCP | Azure | Linux | 
| 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



