- Ai Researcher:
- By Profession MLops engineer
- Experience in IOT
- A pythonista ๐
Passionate Machine learning professional and data-driven analyst with the ability to apply ML techniques and leverage algorithms to solve real-world business problems. https://medium.com/@pragnesh.nprajapati
โ Proficient in Azure and AWS cloud infrastructure with experience in deploying ML workloads via Azure Kubernetes Service (AKS) and Amazon Elastic Kubernetes Service (EKS).
โ Extensive integration experience with H2O products and cloud services, including Azure DevOps, Azure Container Registry (ACR), Amazon Machine Image (AMI), Amazon EC2, and Amazon SageMaker.
โ Knowledgeable in cloud-based data processing and storage solutions, with expertise in Databricks' Spark cluster, Azure Blob Storage, and Amazon S3.
โ Skilled in managing the ML software development lifecycle in cloud environments, utilizing Azure DevOps and AWS services for source control and CI/CD.
โ Proficient in ML algorithms, predictive analysis, deep learning, data visualization, and data analytics.
โ Experience with Python, R, HTML, Terraform, YAML, and PySpark programming languages.
โ Familiarity with frameworks such as OpenCV, long-chain,llama3,BERT , trasformers, vectordb, Scikit-Learn, TensorFlow, Keras, PyTorch, Pandas, H2O, MLflow, MLops, Apache Kafka, matplotlib, and Airflow.
โ Proficient in visualization tools like Dash, Matplotlib, Plotly, Seaborn, MapBox, and HTML.
โ Knowledgeable in databases including Redis, MySQL, MSSQL, PostgreSQL, and DEEP.
โ Experienced in cloud technologies including Azure, Kubernetes, Databricks, AWS, GitHub workflow, and Google Cloud Platform (GCP).
โ Currently expanding expertise in quantum machine learning with Qiskit
Credit: pragnesh-ai
Last Edited on: 9/13/2021