Teams at Gartner

Leads the design and development of generative and agentic AI applications using LLMs, NLP, deep learning, retrieval, RAG, and orchestration frameworks. Builds agent architectures, evaluation frameworks, data-processing pipelines, guardrails, and responsible AI controls. Optimizes models through prompting, reranking, embeddings, model selection, and fine-tuning. Translates business needs into measurable AI solutions, stays current with emerging technologies, leads technical discussions, and mentors team members.

Leads Gartner’s QA organization and establishes long-term quality engineering strategy, standards, testing processes, KPIs, and reporting. Manages and develops QA engineers and automation specialists while overseeing functional, non-functional, performance, security, and AI-driven testing. Directs automation framework development, test planning, Scrum coordination, project leadership, and cross-team collaboration.

Designs and governs enterprise multi-cloud architectures across AWS and GCP. Builds self-service capabilities, automation, and Infrastructure as Code; maintains cloud infrastructure documentation; manages IAM, security, compliance, monitoring, maintenance, incident recovery, and system upgrades. Partners with DevOps and application development teams to provision infrastructure, improve operational excellence, and resolve complex cloud issues in a globally distributed environment.