Docker, Pyspark, Pytest, Azure Databricks, Azure Cloud Services, Python, Sql, MLflow

Java, Machine Learning, Distributed Systems, Hadoop, Statistical Modelling, Sql, API Design, MLops, Spark, Python, Scalable Architectures, Large-scale Data Systems, Go, Optimisation Techniques, Scientific Computing

Spark, Java, Hadoop, Cloudformation, Yarn, Tensorflow, Hive, MLops, Docker, Sns, Python, Kubernetes, AWS, Airflow, Pipelines, H2O, EventBridge, CodeBuild, SageMaker, CodePipeline, CodeCommit, CloudTrail

Prometheus, Gpu, Grafana, Pytorch, Docker, Python, Linux, Kubernetes, embeddings, ML Engineering, tool calling, Hugging Face, LLM Inference, SGLang, LangSmith, Langfuse, RAG LangGraph, quantization, Observability, TensorRT-LLM, KV Cache, vLLM, Agentic AI, TGI, LoRA, RAG, W B, LlamaIndex, QLoRA, AI Infrastructure

AWS, Apis, integrating ML models into production systems, automated testing of model performance and stability, model evaluation techniques, feature engineering, data preprocessing, MLOps tools and frameworks

Terraform, Docker, Prometheus, Postgres, Gitlab, Grafana, Kubernetes, Python, AWS, LLMs, MLFlow

Excel, Python

Numpy, Machine Learning, Pandas, Python, MATLAB, Scikit-Learn

Pytorch, Agile, Kubernetes, Scrum

C Language, R Programming, Python, Unix, Linux, Artificial Intelligence and Machine Learning, Llm