react.js , Gcp, Typescript, Node.js, Javascript, Python, LangGraph, agentic workflow, cloud-native architecture, SQL databases, AI applications

Apis, Sql, Gcp, Azure, Python, AWS, Data Pipeline Development, RAG Knowledge Graphs, LangGraph, Agent Systems, Google ADK, Evaluation Infrastructure, ETL pipelines

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

.NET, Apis, Typescript, Python, LangChain, embeddings, RAG vector databases, DevOps practices, AI observability practices, agentic workflows, AI retrieval systems, high-code stacks, Microsoft Agent Framework

Tensorflow, Sql, AWS, Pytorch, Python, Azure, Gcp, Numpy, Pandas, Scikit-learn

Nlp, Pytorch, Flask, Python, AWS, Ml, Gcp, FastAPI, Azure, pgvector, Qdrant, Hugging Face, Pinecone, embedding techniques, transformer architectures, RAG pipelines, LangChain, retraining schedules, Generative AI, Ai, canary releases, Anthropic, prompt engineering, FAISS, drift detection, Milvus, OpenAI, Weaviate, LlamaIndex

Python, Pyspark, Sql, XGBoost, Scikit-learn, LightGBM

PostgreSQL, SQL Server, Unsupervised Learning, Nlp, Gcp, Docker, MongoDB, Cosmos DB, Azure, Kubernetes, Python, AWS, supervised learning, MLflow, REST API design, prompt engineering, agentic systems, LLM-based applications, RAG architectures

Restful Apis, Python, GenAI applications, embedding-based search pipelines, Java Spring Boot, JSON data structures, prompt engineering

Apis, Python, Cloud Services, AI or machine learning, Agentic AI, LLMOps