.Net Core, Kubernetes, Windows, Microsoft Technologies, Linux, virtualization, AWS, Azure, Gcp, Apis, messaging systems, cloud environments, non-relational databases, OpenAI, REST Web APIs, Azure OpenAI, AI ML fundamentals, Relational Databases, AI-enabled features, SDKs, AI-assisted coding tools, vector search embeddings, LLM usage patterns, AWS GCP AI services

Python, Rest Apis, AI orchestration frameworks, cloud-native application development, enterprise integrations

Databases, Backend Development, Apis, Distributed Systems, Microservices, Voice AI frameworks, Pipecat, real-time conversational AI, LLMs, event-driven systems, Voice AI orchestration systems

Java, Docker, Node.js, Kubernetes, Python, DevOps practices and tools, Prompt engineering, Generative AI or LLM-based solutions

Deep Learning, Numpy, Pytorch, Opencv, Python, Seaborn, Computer Vision, Matplotlib, scikit-image, LSTM, PIL

Distributed Systems, Data Protection, policy enforcement, AI tools, audit logs, Security, Authorization, LLM gateways, MCP

Java, Gcp, Docker, Scala, Azure, Kubernetes, Python, AWS

Java, Python, AWS, embeddings, LLMs, multimodal AI pipelines, Go, RAG-based systems, vector databases, AI ML systems, GenAI systems

Databases, Java, Ml, Rust, Kotlin, Distributed Systems, Cloud Infrastructure, Containers, Python, LLM-based systems, production observability, workflow orchestration, event processing, Go, generative-AI, Caching, backend systems, queues, Scheduling