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