Sql, Python, Data Modelling, Workflows, automation, Data Analysis, Reporting, KPI/dashboard development, LLMs, Ai, prompt engineering, RAG

Nlp, Machine Learning, Agile Scrum, Data Modeling, Python, AI orchestration frameworks, Autonomous AI systems, Prompt engineering, LLMs, Multi-agent architectures, RAG pipelines

workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures

Python, vector stores, data pipeline development, retrieval strategies, re-ranking, multi-step agent workflows, embedding models, prompt engineering, RAG architectures

Retrieval-Augmented Generation (RAG), MLops, Docker, Python, AWS, LangChain, GenAI, Generative AI, AWS Bedrock, Prompt engineering, Model monitoring, SageMaker, Vector Databases, OpenAI APIs, Containerized deployments, LLM evaluation

Java, Github, Linux Shell Scripting, Ibm Cloud, Css3, Jenkins, React, Git, Typescript, Gcp, Docker, Terraform, Ansible, Html5, Openshift, Azure, Kubernetes, Python, AWS, Go, Podman

Amazon Web Services (AWS), Large Language Models (LLMs), Machine learning frameworks and libraries, Developing and deploying AI models in production environments, Python Programming Language, Cloud computing concepts and services