I'm a seasoned professional with a passion for technology and a deep commitment to driving innovation. With extensive experience spanning DevOps, Cloud Engineering, Python Development, and Artificial Intelligence, I thrive on creating robust, scalable solutions that leverage the latest technologies to solve complex problems. With a background in both development and operations, I aim to bridge the gap between software development and IT operations, ensuring fast, reliable, and continuous delivery of applications. My journey has equipped me with a rich skill set and an adaptive, problem-solving mindset, making me a valuable asset to any team.

• Cloud Platforms: AWS, Azure, Google Cloud
• Infrastructure as Code (IaC): Terraform, CloudFormation
• CI/CD: Jenkins, GitLab CI, GitHub Actions
• Containerization & Orchestration: Docker, Kubernetes, Docker Swarm
• Monitoring & Logging: Prometheus, Grafana, ELK Stack
• Scripting & Automation: Bash, Python
• Version Control: Git, GitHub, GitLab

• Programming Languages: Python
• Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn
• Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers
• Natural Language Processing: BERT, GPT, NLTK, spaCy
• Computer Vision: OpenCV, PIL, Image Preprocessing, Object Detection
• Data Science & Analysis: Pandas, NumPy, Matplotlib, Seaborn
• Big Data Technologies: Apache Spark, Hadoop
• Experiment Tracking & Model Management: MLflow, DVC
• Cloud Platforms for AI: AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning

• Languages: Python, Bash
• Web Frameworks: Django
• Database Management: MySQL, PostgreSQL, MongoDB, Cassandra, ScyllaDB
• API Development: RESTful Services, GraphQL
• Testing: pytest, Selenium

• Expand my knowledge and expertise in cloud-native technologies.
• Contribute to open-source projects related to DevOps and cloud computing.
• Develop a Python-based AI-enhanced tool for automated infrastructure health checks.