Tensorflow, Typescript, Pytorch, XGBoost, Python, embeddings, knowledge graphs, scikit-learn, LightGBM, vector caching, vector databases, graph networks, AI agents, CatBoost, agent orchestration

Kafka, Distributed Systems, Flask, Python, AWS, MLops, Gcp, FastAPI, Azure, embeddings, async processing workflows, ADK, vector databases, Claude, Azure OpenAI, CI CD, LangGraph, Agentic frameworks, RAG pipelines, LangChain, Generative AI, LLMs, LLMOps, cloud platforms, OpenAI

Machine Learning, Deep Learning, Python, Transfer Learning, Feature Engineering, reinforcement learning, Model Fine-tuning, Generative Models, Data Applications, Data Processing, Streamlit, Prompt Engineering

Kubernetes, Python, Airflow, Generative AI, GitHub-based workflows, Applied AI, Data pipelines, Cloud-based development

snowflake , MLops, Docker, Terraform, Data Integration, Azure, AWS, generative AI, data orchestration

Java, Node.js, Gcp, Azure, Python, AWS, LangChain, LLMs, Hugging Face Transformers, vector databases, MLflow, embedding models, Vertex AI, Kubeflow, Transformers, RAG, Diffusion models

Docker, Data Lake, FastAPI, Rest Apis, Python, Azure DevOps, LangChain, Azure OpenAI, LangGraph, GitHub Actions, App Service, Azure Foundry Agents, AI Studio, Blob Storage, Microsoft Agent Framework, Azure AI services, Azure AI Search

data engineering , S3, Kafka, Emr, Data Modeling, Redshift, Sql, Apache Airflow, Kinesis, Spark, Python, AWS Cloud services, DataOps practices, AWS Step Functions, CI CD, SageMaker, pipeline orchestration, Lake Formation, Glue

Tensorflow, Pytorch, Python, Apache Spark, Git, Numpy, KubeFlow, Langchain, Ray, Pinecone, Dask, Llamaindex, DSPy, MLFlow, HF Transformers, SLURM, vLLM, DVC, Langgraph, Pytorch DDP, Milvus, W B, NCCL, Weaviate, nemo

Ml, Python, Airflow, GenAI, GitHub-based workflows, Applied AI, Cloud-based development and deployment environments, Kubernetes-based deployments, Data pipelines