Machine Learning, Sql, Gcp, MLops, Azure, Python, AWS, Data lakes, LLM ecosystems, GenAI, Deep Learning frameworks, AI deployment frameworks, R, AI governance

triton , Openshift, Kubernetes, GPTQ, SGLang, Multi-cloud provider-agnostic AI architectures, AMD ROCm, GGUF, RedHat OpenShift, Custom inference schedulers, Model quantization, AWQ, Intel OpenVINO, TensorRT-LLM, LLM serving architecture, NVIDIA Dynamo, GKE, GPU FinOps, AMD EPYC, AKS, vLLM, EKS, Intel Xeon, CPU cluster inference, Routing trade-offs

MLops, compliance alignment, agent workflow orchestration, evaluation dataset design, defining guardrails standards, LLMOps, AI GenAI architecture patterns, corpus preparation, prompt lifecycle management, CI CD, Security-by-design, network boundaries, monitoring approach, Data strategy architecture, embedding design, retrieval strategy, Governance guardrails, model registry, deployment strategy, Access Control, solution reference architectures

solution architecture, Data Integration, automation, Cloud Technologies, Security, model and tool integration, generative AI, AI engineering, enterprise AI technology platforms, production technology delivery

Tensorflow, Nlp, Pytorch, Python, Matching reconciliation algorithms, LLM-based systems, Classification, Entity extraction, Production AI deployment, ML frameworks

AWS, Node.js, FastAPI, Python, Azure, Jira, Gcp, Multi-cloud AI platform architecture, AI Governance, Generative AI

Python, Agentic AI, Multi-Agent Systems, Generative AI, LLMs, Prompt Engineering, Reasoning Frameworks, RAG, Retrieval-Augmented Generation

Databricks, Azure, Vector Databases, Azure AI Agents, evaluation tools, OpenAI, Microsoft Agentic Framework, Gen AI LLMs

Python, Apis, knowledge graphs, AI development stack, retrieval logic, Vertex AI, production AI monitoring, agent workflows, Agentic AI frameworks, document intelligence, experiment tracking, secure AI architecture, autonomous AI systems, data pipelines, multimodal systems, deployment designs, automated tests, cloud-native architectures, GCP services, responsible AI