data engineering , Numpy, Pandas, Pytorch, Python, scikit-learn, ML pipelines

snowflake , Numpy, Python, BigQuery, Machine Learning, Emr, Redshift, Sql, Pandas, Aws S3, Label Studio, Airflow, data pipelines, scikit-learn, pgvector, Cpt, WhyLabs, LLM systems, OpenSearch, ICD-10-CM, Snorkel, Evidently, data-quality controls, Arize, Hcpcs, dbt, Glue

Git, Docker, Machine Learning Algorithms, Sql, Python, Feature engineering, Model evaluation

Tensorflow, Pytorch, Docker, Python, AWS, Sql, Gcp, MLops, Spark, Azure, Kubernetes, Anthropic Claude, Multi-agent frameworks, Azure OpenAI, Agentic AI systems, Mistral, RAG architectures, LLMs, Prompt engineering strategies, Scikit-learn, model deployment, Fine-tuning pipelines, Agentic AI, Llama, RAG, OpenAI, Gemini

Python, Tensorflow, Pytorch, Docker, Kubernetes, Cloud Platforms

Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring

Tensorflow, Machine Learning, MLops, Pytorch, Natural Language Processing, Python, Sql, Deep Learning, Vector Databases, Generative AI, Retrieval-Augmented Generation

Machine Learning, Sql, Tensorflow, Pytorch, Gcp, MLops, Azure, Python, AWS, Generative AI, scikit-learn, LLMOps, SageMaker, Agentic AI, Kubeflow

containerization , Github, Unit Testing, Tensorflow, Numpy, Docker, Python, Scipy, Pandas, Kubernetes, Workflows, Databricks, CI CD Pipelines, scikit-learn, Cluster Creation, Edge Deployment, Azure Cloud Architecture for ML, ACR, Repo Management, Portainer, ML Model Design, Deployment