Deep Learning, Nlp, Pytorch, Gcp, Computer Vision, Spark, Azure, Kubernetes, Python, AWS, embeddings, fine-tuning, generative AI, cloud platforms, Video, Llm, RAG, VLM, distributed data processing

Machine Learning, Apache Airflow, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apache Spark, Api Development, Deep Learning, Django, Jenkins, Gcp, MLops, FastAPI, Azure, Kubernetes, Computer Vision, Hugging Face Transformers, Ray, Prefect, GitHub Actions, Dask, LangChain, Generative AI, Dagster

MLops, Neo4j, Python, LangChain, LLMOps, PGVector, LLM gateway routing, LangSmith, LangGraph, Claude Agent SDK, Firecracker MicroVM, Langfuse

Gcp, Azure, AWS, embedding pipelines, ML Ops, Applied Machine Learning, LLM Ops, Ai, LLM orchestration, high-volume distributed systems, vector-based retrieval systems

Git, Apache Spark, Sql, Python, Azure DevOps, experiment tracking, model registries, MLOps frameworks

Databases, Java, Graphql, PostgreSQL, Sap Hana, Python, distributed systems technologies, CI CD testing practices, messaging systems, AI ML techniques, Go, LangGraph, RPC frameworks, cloud-native architectures

Machine Learning, Gcp, Machine Learning Algorithms, Aws, Deep Learning

Algorithms, Kafka, Tensorflow, React, Pytorch, Docker, data structures, Python, AWS, Hadoop, Node.js, Django, Gcp, Spark, Azure, Kubernetes, Airflow, scikit-learn, generative AI technologies, Vector Databases, LLM’s, RAG architectures, transfer learning, prompt engineering

Machine Learning, Amazon CloudWatch, Tensorflow, Pytorch, MLops, AWS CloudFormation, AWS, Generative AI, AWS Step Functions, scikit-learn, Amazon SageMaker, Amazon Bedrock