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

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

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

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

Ml, Nlp, MLops, LangChain, embeddings, LLMOps, GenAI ecosystems, Hugging Face, vector databases, enterprise-scale AI platforms on cloud, open-source models like LLaMA, Mistral, risk and compliance in BFSI, LLM frameworks, AI governance, OpenAI, LlamaIndex, RAG architectures

state management , containerization , Docker, React, Vue.JS, ECS, Oauth, AWS, Identity access management, EKS, SaaS environments, LlamaIndex, Next.js, MCP, Component-driven architecture, CrewAI, rbac, Cloud-native microservices, LangGraph, Responsive user experiences, Event-driven architectures, Frontend-backend integration, API gateways, AI agent frameworks, gRPC APIs, A2A

Python, LLMs, FAISS, vector databases, Milvus, Pinecone, Weaviate, RAG architectures