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

Data structures, Api Development, Deep Learning, Tensorflow, Pandas, MLops, Pytorch, Scipy, XGBoost, Algorithms, Numpy, Machine Learning, Python, NLP techniques, Prompt Engineering, GenAI, LangChain, RAG, Fine-tuning LLMs, Object-oriented programming, Advanced Chatbot Architectures, Scikit-learn, Scientific Computing, LightGBM, Generative AI, LLM architectures, Transformers

Retrieval-Augmented Generation (RAG), Python, Api Integration, Machine Learning, Generative AI, Large Language Models, Agentic AI Workflows

AI ML, Data Science, Solution Delivery, LangGraph, LLMOps Practices, End-to-End Implementation, LangChain, CrewAI, Multi-Agent orchestration, Agentic AI, Mistral, RAG-based Systems, Generative AI

Data Security, Tensorflow, Pytorch, Python, similarity search, embeddings, governance principles, LLMs, Hugging Face, vector databases, Pinecone, cloud environments, Chroma, retrieval strategies, FAISS, ML frameworks, Weaviate, RAG architectures

Prometheus, Grafana, Tensorflow, Azure ML, Pytorch, MLops, Docker, Terraform, Databricks, Azure, Kubernetes, Python, Azure DevOps, AWS, Generative AI, AWS Bedrock, Agentic AI, AWS SageMaker, Azure AI services, Bicep, Sci-Kit learn

python, Git, Docker, Kubernetes, GenAI, ci/cd