Ml, Data Analytics, Devops, Containers, disaster recovery solutions, Compute, AWS technologies, Ai, serverless technologies, monitoring and observability

Rfps, LangChain, LLMs, Infrastructure Planning, Transformers, RAG, Proposals, GPU sizing, risk and data lifecycle considerations, AI governance, AI solutioning

data engineering , Java, Big Data Analytics, Hadoop, Cassandra, Scala, Data Science, Gcp, Azure, Python, AWS, Apache Spark™, R

Tensorflow, Nlp, Pytorch, Gcp, Azure, Python, AWS, CrewAI, LangChain, deep learning frameworks, vector databases, Pinecone, prompt engineering, Autogen, embedding techniques, Chroma, Milvus, vector database design, fine-tuning LLMs, RAG architectures

Ml, Integrations, Apis, Saas, workflow automation, Ai, enterprise systems

data engineering , Summarization, Predictive Analytics, Nlp, Computer Vision, MLops, big data architecture and platforms, knowledge graphs, AI ML concepts frameworks and tools, GenAI LLM-based applications, visualization tools, chatbots, data analytics tools and technologies

Vpn, Terraform, AWS, Load Balancing, Cloudformation, Iam, Azure, Kubernetes, Security, Direct Connect, Azure AI Foundry, Cost governance for AI platforms, Disaster Recovery, Bicep, Observability, Resilience patterns, LLMOps, Zero-trust security principles, AKS, Private endpoints, EKS, Multi-region architectures, ExpressRoute, Amazon Bedrock, Cloud-native networking