data engineering , Data Warehousing, Databricks, Data Modeling, Azure, AWS, LLMs, enterprise data architecture, Microsoft Fabric, AI architecture

S3, Apis, Lambda, Docker, Terraform, FastAPI, Kubernetes, Python, AWS, observability and monitoring platforms, Langchain, CI CD, EKS, Autogen, LangGraph, A2A, Vector Databases, AI Agent frameworks, Pydantic, AI Technologies, prompt context engineering, MCPs, LLMs integration

containerization , snowflake , Spark SQL, Pyspark, Databricks, Azure, LangChain, Prompt optimization, Agent orchestration, Cloud-native delivery, LangGraph, Observability frameworks, LLM APIs, Delta Lake, OpenAI, Python v3.11

Kubernetes, S3, Lambda, AWS, FastAPI, Python, Terraform, Docker, Apis, EKS, LLMs integration, Pydantic, Vector Databases, AI Technologies, prompt context engineering, observability and monitoring platforms, LangGraph, AI Agent frameworks

Python, Kubernetes, LangChain, LangGraph, Prompt engineering, LLMs, AWS SageMaker, Vector databases, Vertex AI, LlamaIndex, GenAI systems

Machine Learning, Predictive Analytics, Tensorflow, Nlp, Algorithms, Pytorch, MLops, data structures, Python, Agentic systems, Scikit-learn, Ai, recommendation systems, Statistics

probability , triton , Jax, Tensorflow, Pytorch, Docker, Ml, Azure ML, MLops, Kubernetes, TD3, DL, TensorRT, CNNs, ONNX, ppo, Optimization, RL agents, linear algebra, CQL, Transformers, Ai, AKS, sequence models, SAC, CI-CD, RL, ARO

snowflake , Computer Vision, Sql, Tensorflow, Nlp, Pytorch, Gcp, Azure, Python, AWS, LangChain, GANs, LLMs, Hugging Face Transformers, Vector databases, Generative modeling techniques, MLOps tools, Diffusion models, Multimodal AI, RAG pipelines