S3, Route53, Cloud Watch, Microservices, Lambda, Api Gateway, Dynamodb, Emr, Ansible, ECS, Puppet, Infrastructure as Code, Event Bridge, Chef, Salt, Amazon Q Business, Monitoring and logging frameworks, CI CD frameworks, ACM, EKS, System Manager, Amazon Q in Quick Sight, Serverless, Amazon Q in Connect SDK

resiliency , Java, Orchestration, Apis, Logging, Automated Testing, Microservices, Devops, Scalability, Distributed Systems, System Design, Python, RAG LLM integration, AI GenAI applications, CI CD, Monitoring, prompt engineering, Evaluation, Security, data systems, reliability engineering, guardrails, observability

vectorization , Tensorflow, Gcp, Pytorch, MLops, Docker, Azure, Kubernetes, Python, AWS, Data lakes, Generative AI, Transfer Learning, LLMs, Azure OpenAI Service, Fine-Tuning, Embedding models, Google Vertex AI, RAG, Data pipelines, Amazon Bedrock, Transformer architectures

Sql, Deep Learning, Tensorflow, MLops, Pytorch, Python, Nlp, LangChain, LlamaIndex, Prompt Engineering, Agentic AI frameworks, Microservices architecture, Cloud-native design patterns, Transformer Architecture, LLM Optimization techniques, RAG architectures, Model evaluation benchmarking, Generative AI, Cost optimization strategies

snowflake , Java, Devops, Azure, Python, AWS, Generative AI, vector databases, RAG pipelines, prompt engineering

Keras, Tensorflow, Devops, MLops, AWS, Pytorch, Kubernetes, Python, Azure, Gcp, Docker, PostgreSQL, MongoDB, Javascript, CI CD pipelines, OpenAI, Claude, Gemini, ElevenLabs, Scikit-learn, Grok, Ollama, Perplexity

Ci, Python, Docker, Kubernates, Artificial Intelligence, cd, Llm

Nlp, Gcp, Javascripts, Azure, Python, Aws, Llm