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Design and operate high-availability, multi-region cloud-native services for a global trading platform, using SRE practices, AI-driven automation, and observability tooling to ensure resilience and low latency.
Build and maintain Cisco’s Kubernetes-based Nexus Dashboard, a single-pane platform for data-center automation, using Go, Python, and microservices to ensure high availability, security, and lifecycle management.
Lead the roadmap for Splunk’s AI Foundations platform, defining domain-specific models, agentic protocols, and orchestration tools to power enterprise-grade AI workflows for global customers.
Build and operate web-application firewall rules, bot management, and rate-limiting to protect Springer Nature’s academic content from automated scraping and abuse while ensuring legitimate access.
Build and maintain Cisco’s Kubernetes-based Nexus Dashboard platform, designing microservices in Go/Python to manage cluster lifecycles, security, and observability for global data centers.
Engineer and maintain network security controls (firewalls, VPNs, IDS/IPS) and NDR solutions like ExtraHop to detect and respond to threats across on-prem, cloud, and hybrid environments.
Lead a global team to build and maintain AI-ready data pipelines, MDM systems, and agentic AI workflows for an insurance company.
Build AI-driven finance analytics solutions using low-code tools, prompt engineering, and data science to improve controls, efficiency, and decision-making in P&L, cost centers, and regulatory reporting.
Leads a tiger team to modernize AI/ML platforms, integrating LLMs (RAG, embeddings) and automating data pipelines for customer identity resolution, while mentoring teams on next-gen AI development and .NET/React-based infrastructure.
Monitor and improve security controls, manage risks, and ensure compliance with policies and regulations for enterprise systems and data.
Lead presales architecture role designing Elastic Stack solutions for enterprise search, observability, and security, including AI-powered search and RAG pipelines.
Designs and builds AI/ML models and data pipelines to improve infrastructure reliability, capacity forecasting, and operational automation for a large bank’s hybrid cloud and on-premises environments.
Intern role supporting Power BI reports, investigating data issues, and building dashboards for Swiss Markets at Chanel’s BI team.
Lead the design and operation of Mercari’s observability platform, using tools like Prometheus, Grafana, and Datadog to monitor 500+ microservices and reduce incident detection times with AI-powered alerting and tracing.
Lead a team building AI/ML models for pattern recognition, anomaly detection, and predictive analytics to support military decision-making and survivability in surveillance environments.
Lead a cross-functional team to deliver a national defense project focused on pattern recognition, anomaly detection, and decision support for military operations, requiring TS/SCI clearance.
Build AI-driven models for national security, analyzing geospatial and operational data to detect threats and support military decision-making using Python, SQL, and deep learning.
Build and maintain PySpark/Hadoop pipelines to process marketing data, support A/B testing and MMM, and enable CRM/CDP analytics for Visa’s global campaigns.
Build and maintain data pipelines and dashboards that turn security logs and IT metrics into actionable risk insights for Sony’s leadership.
Own and lead the identity and access product roadmap for Lilly’s consumer systems, setting AI automation strategy for SSO, authentication, and consent while ensuring compliance in a regulated healthcare environment.
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