Led a multi-team 0->N organization, driving advertiser revenue recovery and platform efficiency across Meta’s business and Instagram infrastructure. Scaled self-serve and assisted support across payments, integrity, and product surfaces, delivering 150+ experiments and unlocking $110M+ in advertiser revenue while achieving >90% SLO reliability across critical support experiences.

Led capacity and efficiency initiatives for large-scale Instagram platform systems, optimizing compute and resource utilization through improvements in traffic handling, caching, and system-level efficiency. Reduced infrastructure waste while maintaining strict reliability and latency SLOs.

Built and scaled LLM/GenAI-powered support and remediation systems, including agentic platform workflows for case analysis, issue clustering, alert reduction, and automated resolution. Partnered cross-functionally across Monetization, Payments, Support, and Infrastructure to drive platform strategy, operational excellence, and global-scale impact.

Led engineering for a 0→1 enterprise GenAI SaaS platform, building and scaling a high-performing team while defining platform architecture and technical strategy. Designed a multi-tenant system for LLM-driven applications, including retrieval-augmented generation (RAG) pipelines and agentic workflows over structured and unstructured enterprise data.

Established MCP-aligned tool and context contracts to decouple LLM reasoning from enterprise data and actions, enabling safe, reusable integrations and governed execution. Designed for model and framework portability, ensuring flexibility across evolving LLM ecosystems and enterprise requirements. Partnered with product and early customers to deliver production-grade GenAI workflows aligned to real-world business outcomes.

Led a cross-functional team building Cisco Cloud Networking and Security platforms for multi-cloud and hybrid environments (AWS, GCP, Azure).

Delivered systems for policy-based network orchestration, security enforcement, and infrastructure automation, enabling consistent connectivity and governance across on-prem and cloud environments.

Improved scalability, reliability, and deployment efficiency through cloud-native architectures and automation.

Led a 50+ member engineering and data science organization building an AIOps and cybersecurity platform for enterprise IT operations. Architected a microservices, event-driven platform for large-scale telemetry ingestion, anomaly detection, and automated remediation.

Improved anomaly detection accuracy by 40% and reduced false positives by 70% through advanced ML models and feature engineering. Delivered 99.9% platform uptime while driving significant improvements in observability, incident response, and operational efficiency.

https://www.cloudfabrix.com/

As Director of Engineering at Cisco, I played a pivotal role in driving success of Cisco UCS Director(UCSD), a market-leading platform for private/public cloud infrastructure provisioning and monitoring. Leading cross- functional team of over 70 Dev/QA Engineers, Technical Leads, and Managers, I oversaw development of Cisco UCS Director (Cisco UCSD) solution. This comprehensive suite enabled unified management of converged infrastructure solutions (compute, storage, networking, security, virtualization) based on Cisco UCS servers, Cisco Nexus Switches, NetApp and EMC Storage, and VMware technologies, supporting bare-metal servers, and virtualized environments.