Gcp, Docker, Azure, Kubernetes, Python, AWS, Airflow, TFX, MLflow

graph databases , Pytorch, Neo4j, Python, Ml, self-hosted LLMs, knowledge graphs, DPO, AI engineering, Hugging Face, vector databases, SGLang, LangSmith, embedding-based retrieval, BM25, ArangoDB, Langfuse, TensorRT-LLM, fine-tuning, SFT, Arize, vLLM, Braintrust, LoRA, QLoRA

snowflake , Github, Cursor, Code, Deep Learning, Tensorflow, Pytorch, MLops, Spark, Gitlab, Azure, Python, AWS, CrewAI, LangChain, LLMOps, Codex, Claude, AI Cloud architectures, Autogen, Agentic AI, Agentic Coding Frameworks

Pytorch, Python, experiment tracking, DeepSpeed, benchmarking systems, evaluation frameworks, FSDP, reproducibility practices, Compression, model optimization

Spark Streaming, Kinesis, MLops, Aws Services, Pyspark, Kafka, Databricks, Sql, ELT, Etl, Airflow

Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, MLflow, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, Dagster, Lake Warehouse architectures, model monitoring

Spark, Sql, Java, Tensorflow, Kafka, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, Terraform, Scala, Kubeflow, MLflow, Bicep, scikit-learn, Flink, SageMaker, ML pipelines, NoSQL databases

Pytorch, MLops, Python, GPU optimization