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

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

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

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

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

data engineering , Machine Learning, Deep Learning, Nlp, Cloud Architecture, MLops