Apis, MLops, Gcp, System Design, Azure, Python, AWS, Agentic AI patterns, LLMs, cloud platforms, CI CD, prompt engineering, responsible AI principles, GenAI applications, AI governance, AI ML tooling, model monitoring

Python, Node.js, RAG pipelines, context orchestration, embedding pipelines, LLM APIs, CI CD pipelines, observability for AI systems, vector databases

MLops, Pyspark, Apache Spark, Databricks, Data Modeling, Azure, Python, Sql, AWS, ML model deployment

Typescript, React, AWS, Node.js, Python, Kubernetes, Docker, Gcp, Javascript, Pinecone, LLMs, OpenAI, Cloud-native applications, Llama, Vector databases, Weaviate, Anthropic, AI engineering, Chroma, Prompt engineering

Typescript, Javascript, Apis, Python, AI automation tools, Zendesk or similar ticketing CRM tools, LLMs in production workflows

Java, Tensorflow, MLops, Pytorch, Kubernetes, Python, Docker, Nlp, LangChain, GPT, BERT, GANs, Gemini, fine-tuning techniques, Llama, knowledge graph technologies, Haystack, vector databases, R, Graph RAG, RAG, prompt engineering, LLM architectures