containerization , Machine Learning, Cnn, Vercel, Deep Learning, Devops, React, MLops, Docker, FastAPI, Kubernetes, Python, Transformer, AI ML fundamentals, GenAI Applications, Data Analysis, Cloud Infrastructure Development

Docker, Rest Apis, Python, Kubernetes, LangChain, Prompt engineering, Microservices architecture, Semantic Kernel, AI tool implementation, Workflow automation, LlamaIndex, AI agent frameworks

audit trail , Templates, Logging, Microservices, LLMs, reusable components, prompt injection defenses, ML APIs, PII handling, feedback capture, RAG agents, internal AI tooling, SDKs, context assembly tools, embeddings, online evaluation hooks, workflow agent pipelines

MLops, Docker, Python, embeddings, vector databases, Pinecone, OpenAI libraries, LLM techniques, prompt engineering, chain-of-thought prompting, chunking, FAISS, OpenAI APIs, retrieval, dynamic decision-making flows, agentic architectures, AI ML solution deployment, LLM concepts

CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic

Graphql, Hadoop, Scikit Learn, Sql, React, Typescript, Javascript, Pandas, Gcp, Docker, Terraform, Spark, Kubernetes, Enterprise Azure AI, AWS Bedrock, Foundry Crew AI, Gen AI, LangGraph, Agentic AI, Conversational AI, Gemini, Agentic process automation

Django, FastAPI, Microservices, Python, Flask, Distributed Systems, Machine Learning

Distributed Systems, Python, multimodal systems, vector databases, Pinecone, custom retrieval layers, Swarm, Chroma, transformer architectures, RLHF, LangChain, CrewAI, AI safety, agent frameworks, AutoGen, LLM fine-tuning, LoRA, MLOps tooling, generative AI models, Milvus, OpenAI, Weaviate, QLoRA, LlamaIndex, red-teaming

containerization , Api Development, CDK, Microservices, React, REST, Docker, Flask, Python, AWS, OpenAI Assistants, embeddings, Generative AI, RAG system, vector databases, LangGraph, GitHub Actions, LangChain 1.0, async programming, LLM-based applications, Bedrock models