Application Design, Cloud Architecture, test automation, data models, Generative AI, Ai, API patterns, integration strategies, observability

snowflake , Gcp, MLops, Databricks, Azure, AWS, LLMOps, Hyperscaler solutions, Palantir, AI ML Data Science, technical architecture design, GenAI architectures, data engineering pipelines

Gcp, Python, embeddings, Generative AI, data pipelines, Cloud Run APIs, Vertex AI, RAG, vector DBs, AI agents

containerization , Typescript, AWS, Java, Python, Azure, Agile Methodologies, Machine Learning, Generative AI, Ai

snowflake , Databricks, MLops, AWS, Azure, Gcp, AI ML Data Science, Data engineering pipelines, GenAI architectures, Palantir, GenAI LLM, Reusable GenAI frameworks, Agentic AI solutions, LLMOps, Reference architectures, Hyperscaler solutions, Technical architecture design

tokenization , Machine Learning, Cursor, MLops, Docker, Rest Apis, Python, AWS, embeddings, LLMOps, Claude Code, vector databases, evaluation of generative outputs, prompt engineering, GitHub Copilot, AI-assisted development tools, infrastructure-as-code, GenAI ecosystem, RAG architectures

Gtm, Scalability, Performance, Azure, AWS, Cost, demos, GenAI, Architecture Design, LLMs, Security, orals, Proposals, Workshops, pre-sales, OpenAI