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shangadi/README.md

🧑‍💻 Me:

"I'm currently working on enhancing my skills in MLOps by integrating machine learning workflows into DevOps practices
"I'm looking to collaborate on projects that bridge the gap between DevOps and machine learning
Real-world case studies of successful MLOps implementations in enterprise environments
Deep learning techniques using TensorFlow, PyTorch, and Keras
DevOps best practices and how they apply to ML workflows. IaC using Terraform, especially for GCP & AWS resources
"Fun fact: I once set up a Raspberry Pi-powered smart device in my home that displays weather updates, my calendar, and even real-time analysis of my pickleball serve technique! It combines my love for tech tinkering, sports, and practical applications of machine learning

🌐 Professional Connections:

LinkedIn

💻 Tech Stack:

Go JavaScript Python YAML Swift Shell Script Rust AWS Azure GithubPages PythonAnywhere Django Electron.js FastAPI NodeJS Next JS Flask Web3.js Jenkins Apache Maven Nginx Apache Airflow AmazonDynamoDB InfluxDB MariaDB MongoDB MySQL Postgres Redis Keras Matplotlib mlflow NumPy Pandas TensorFlow Scipy scikit-learn PyTorch GitLab CI GitHub Actions GitLab Git Bitbucket Gradle Docker Kubernetes Prometheus Postman Jira Grafana Ansible Raspberry Pi Swagger Terraform Splunk SonarQube


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