Golang, Jax, Prometheus, Cloudwatch, Grafana, Tensorflow, Pytorch, Python, Java, Scala, MLops, Spark, Keras, Kubernetes, Scalable ML architectures, End-to-end machine learning pipelines, Automated remediation, MLflow, Prediction and drift monitoring, Model hosting, Stream processing pipelines, Big data frameworks, Model versioning, API performance monitoring, Embedding scaling, Feature stores, Data versioning

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

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

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

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