Highly skilled AI and Cloud Engineer with experience in designing scalable AI solutions, optimizing model performance, and integrating AI applications. Expertise in developing and deploying machine learning models, specializing in deep learning, natural language processing, automation, orchestration, security, and evaluating new technologies to drive efficiency and productivity.
- AI/ML: PyTorch, TensorFlow, Scikit-learn, Transformers, Deep Learning, LLMs, NLP, RAG, Keras, LoRA, QLoRA, Hugging Face, Vector Databases, Prompt Engineering, Model Deployment, LangChain
- Cloud: AWS (Sagemaker, Lambda, S3, EC2, ELB), Azure, GCP
- Data Management: Apache Airflow, Hadoop, Hive, MLflow, PySpark, ETL, SQL, FAISS, ChromaDB, Supabase
- Programming Languages: Python, Golang, C++, Shell, PowerShell, Javascript
- Infrastructure as Code (IaC): Terraform, Terragrunt
- Continuous Integration/Continuous Deployment (CI/CD): GitHub Actions, Azure DevOps, Jenkins
- Containerization and Orchestration: Kubernetes, ArgoCD, GitOps, Docker, Helm
- Monitoring and Logging: Prometheus, Grafana
- Version Control: Git, GitHub, BitBucket
- Web Servers: Nginx
- Operating Systems: Linux (Ubuntu, Red Hat, Amazon Linux, CentOS), Windows
Follow my projects here on GitHub. I'm always open to discussing new ideas, technologies, or collaboration opportunities!