S3, Aws Lambda, Cloudformation, Dynamodb, JIRA, Git, Ec2, Confluence, Terraform, AWS CodePipeline, Kubernetes, Python, Generative AI, AWS Bedrock, Step Functions, AWS Cloud Services, Kong API Gateway, EKS, AWS Secrets Manager

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

Django, Data Science, Cloud Services, Postgresql, Web development, MongoDB, Python, AWS, Deployment

Unsupervised Learning, Sql, Pandas, FastAPI, Python, Azure DevOps, LangChain, Dockerfiles, embeddings, experiment tracking, supervised learning, vector databases, MLflow, Azure OpenAI SDKs, Pinecone, LangGraph, GitHub Actions, FAISS, Azure Cognitive Search, ML Container Apps, Azure App Service, OpenAI, evaluation metrics