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

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

Enterprise data architecture — layered design covering physical and logical layers SQL optimization and data modeling, Gen-AI LLM architecture patterns — prompt engineering and response formatting, YAML Semantic Model design and authoring — dimensions measures time grains filters verified queries and synonyms, Microsoft Purview or equivalent external metadata catalog integration with Snowflake, Snowflake Cortex Analyst — configuration deployment and endpoint management, NL-to-SQL pipeline architecture — designing for enterprise-grade query accuracy and response quality

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

Software Development, Data Analytics, Machine Learning, Aws Services, Networking, Infrastructure Security, Cloud Computing, Systems engineering, Ai