Aarti Bhat

• Architected multi-cloud production environments on Azure (primary), AWS, and GCP -
spanning containerized microservices, Terraform-managed infrastructure, CI/CD pipeline
governance, and production incident SLA management for enterprise GenAI workloads.
• Owned production operations for the GenAI Factory Platform: real-time telemetry via Power BI
and Grafana FinOps dashboards, infrastructure cost controls, model serving SLAs, and LLMOps
lifecycle governance from deployment to retirement.
• Institutionalized LLM evaluation standards: golden dataset construction, LLM-as-judge
pipelines, trajectory evaluation for agentic workflows, and continuous hallucination rate
monitoring.
• Deployed open-source evaluation stack (DeepEval, RAGeS, Giskard) as portfolio-wide quality
gates, integrating precision, recall, relevancy, and adversarial resilience scoring into CI/CD
pipelines.
• Designed AgentOps framework covering agent lifecycle governance, tool call auditing, cost
per-task telemetry, and anomaly-triggered human escalation.
• Operationalized Responsible AI controls: PII remediation, toxicity detection, adversarial
resilience testing, and sustainability scoring - embedded into onboarding standards for every
new GenAI workstream.
• Directed high-performance, large-scale programs and teams using SAFe Agile methodology
across 10+ concurrent workstreams, ensuring sustained execution excellence.
• Led customer-facing pre-sales engagements, translating business objectives into cloud, AI,
and intelligent computing architectures while accelerating deal progression.
• Created reusable architecture patterns, reference designs, and industry use-case accelerators
enabling scalable replication across accounts.
• Executed the organizations AI strategy and roadmap for EMEA and North America as AI &
Data Leader, identifying opportunities to leverage AI technologies and securing $MM deals.
• Led executive workshops, strategic planning sessions, and client engagements to define the
future of AI-enabled enterprises. Shaped GTM strategies and aligned technical innovation with
business value.
• Owned financial, commercial, and operational performance of programs, ensuring delivery
against key business metrics.

• Developed and fine-tuned ML models to detect fraudulent transactions, reducing false
positives by 30% and saving 70% in anomaly investigation time.
• Developed ML models using company and external data to improve cash flow management,
predict payments, and ensure regulatory compliance for credit card companies.
• Engineered a Smart Pricing application using Python and Tableau-React Framework,
integrating ML and statistical models, boosting revenue by 2% and improving margins.
• Designed and deployed an AI-powered business surveillance system to monitor KPIs, detect
anomalies, and generate actionable insights, reducing man-hours by 20% and future losses by
10%.
• Built robust analytics dashboards using SAP Analytics Cloud (SAC) with Enterprise Data Hub,
applying Deloittes Analytics First approach to enable real-time decision-making.

• Built and scaled multiple SAP Business Intelligence ecosystems and Data Warehouses as
foundations for enterprise analytics platforms across US and European MNCs.
• Led full-cycle delivery from planning to deployment, achieving a 40% improvement in data
processing efficiency and enabling real-time analytics for 10, 000+ concurrent users.
• Built interactive, data-driven business analytics reports and dashboards using SAP
BusinessObjects (BOBJ), Tableau, and Power BI.

• Designed and implemented complex on-premises SAP BW/BW4-HANA solutions, integrating
diverse data sources via ETL, optimised with virtual data mart layers following LSA/LSA++
principles.
• Research Lead - engineered and delivered Cisco VOIP Product and Cisco Unified
Communications Manager. Contributed to multiple intellectual properties by filing patents for
Cisco VOIP solutions (Cisco Dialed Number Analyzer, Cisco International Dial Plan) using C++.

• Directed multi-client deployment of Sorocos Scout product, an AI-powered RPA and process
mining platform, enabling automation-driven operational transformation.
• Owned delivery governance, stakeholder alignment, and execution quality across concurrent
client engagements. Recipient of Performance Bonus Award for delivery excellence.