Apis, Sql, Tensorflow, Numpy, Nlp, Pytorch, Pandas, Docker, Azure, Python, AWS, scikit-learn, RAG with embeddings, vector databases, responsible AI, CI CD pipelines, Transformers, evaluation monitoring, model serving

Microservice Architecture, Tensorflow, Numpy, Pytorch, Pandas, Docker, Rest Apis, Kubernetes, Python, AWS, LangChain, Qdrant, Pinecone, AutoGen, MCP

.NET, Cosmos DB, Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, AI ML frameworks, HD Insight, Azure Data Warehouse, data modeling techniques, Azure cloud platform, AI ML algorithms

API development and integration, Python, Monitoring observability or MLOps concepts, Agentic frameworks or orchestration patterns, Generative AI and LLMs, Tool calling and action execution, CI CD and modern DevOps practices

Deep Learning, python, Machine Learning, Natural Language Processing, Tensorflow, gen ai

Ml, Apis, PostgreSQL, FastAPI, Python, CrewAI, multi-agent frameworks, fine-tuning, Langchain, RAG systems, LLMs, Vector databases, agent orchestration patterns, Ai, cloud-based AI services, Anthropic, data processing libraries, prompt engineering, Google AI services, data modeling for AI workloads, asyncio, OpenAI, LlamaIndex

.NET, .Net Core, Gcp, Sql, AWS, Pytorch, Nosql, Python, Tensorflow, Azure, Docker, Scikit-learn

Python, AI ML, Sql, Llm

bedrock , AWS, Python, Tensorflow, Pytorch, "AI/ML", GenAI, "AI Engineer", ML Engineer", Nova, LLMs, RAG, LangChain, "Hugging Face", "Vertex AI", "Azure AI"

Operating Systems, AI ML, Tensorflow, Pytorch, Distributed Systems, Computer Architecture, networking fundamentals, simulation frameworks, AI accelerators, interconnect and memory technologies, collective communication algorithms, distributed training frameworks, memory disaggregation, visualization tools, profiling telemetry observability and debugging tools, large-scale AI training pipelines, topology-aware scheduling, programming skills in Python