Information Retrieval, distributed databases, high-throughput low-latency search back-ends, indexing pipelines, large-scale distributed systems

Data Visualization, Secondary Research, Content Creation, Ai, data cloud, Design Thinking, Primary Research, agile principles

automation, multi-tenant SaaS, metadata filtering and query rewriting, developer platforms, structured-data retrieval, data permissions, chunking strategies, retrieval-augmented generation, APIs and webhooks, evaluation and observability, keyword and hybrid retrieval, re-ranking and source attribution, document ingestion and parsing, knowledge freshness and lifecycle management, enterprise knowledge retrieval systems, context management and memory systems, AI assistants, embeddings and vector search, LLM orchestration, workflow execution, agent orchestration, CRM

virtual networks , PowerShell, Update Management, Vpn, Azure Storage, backups methodologies, OS patching, security center recommendations, Azure VM management, Log Analytics for Performance Monitoring, NSGs, Azure Network, Azure CLI

Schema Design, Tensorflow, Pytorch, Python, Object stores, Prompt engineering, Ontology management, Microsoft Azure Data Services, Graph-based ML models, LLMs for enterprise-scale applications, Vector databases, Search techniques, End-to-end data pipeline implementations for AI applications, KG curation, Snowflake Data Warehouse, Relational Databases

Scalability, Apis, data models, OPUS Platform, Security, conversational AI, interoperability, extensibility