Retrieval-Augmented Generation (RAG), C#, Orchestration, C++, Numpy, Pytorch, Pandas, MLops, Python, Etl, Vector search, Evaluation, LangChain, Anthropic Claude, LLMOps, AI coding assistants, Agentic AI solutions, Azure OpenAI, LangGraph, Embeddings, Data pipelines, Tool calling, OpenAI-compatible APIs

workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

containerization , Hadoop Ecosystem, Java, Tableau, Data Visualization, Kafka, Machine Learning, Power Bi, MySQL, Bi Tools, Scala, PostgreSQL, Flume, Big Data Technologies, Shell scripting, Data Modeling, RDBMS, Google Cloud, AWS, Distributed Systems, Python, Azure, Statistical Analysis, Jenkins, Devops Tools, MongoDB, Spark, large-scale application development, CI CD pipelines, R, NoSQL databases

Python, Sql, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling

Sql, Python, Git, MLflow

triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization

Java, Machine Learning, Cassandra, PostgreSQL, Dynamodb, Kafka, Redis, Sql, Tensorflow, Nosql, Pytorch, Docker, MySQL, Spark, Kubernetes, Python, Apache Iceberg, generative AI, Go, Apache Hudi, real-time inference, Large Language Models, model serving