Datadog
My work at Datadog, building observability solutions and empowering developers with observability and AI dev tools.
Activities
AI Tools Lab
Experimental AI tools and applications showcasing the future of observability and developer productivity.
AI Tools Lab consists of 15-20 minute recorded technical demonstrations of hands-on experiences with AI-related tooling for developers. Each episode explores different aspects of AI tools and their practical applications.
Conference Talks & Webinars
Speaking engagements and educational sessions at major tech conferences and partner webinars with Google, Microsoft, AWS, and more.
View Talks & WebinarsDatadog On
Educational content series covering data science, generative AI chatbots, and observability best practices.
Watch SeriesLive Streams
Interactive live streaming sessions including AI Native DevCon and community-driven content.
Join StreamsDASH
Datadog's annual user conference bringing together the observability community for learning and networking.
Learn MoreDeveloper Advocacy Videos
Educational videos covering observability, AI tools, tutorials, and developer relations content.
Watch PlaylistDatadog Experience
At Datadog, I work on building world-class observability solutions that help organizations monitor, troubleshoot, and optimize their applications and infrastructure.
From developer tools to enterprise-scale monitoring platforms, my work focuses on creating intuitive experiences that make complex data accessible and actionable.
Every solution is built with scalability, reliability, and developer experience in mind, serving millions of users worldwide.
Key
Contributions
Observability Platform
React • TypeScript • D3.js • WebSockets • Microservices
Building next-generation monitoring and observability tools that provide real-time insights into application performance, infrastructure health, and user experience.
Key Features:
- Real-time metrics and alerting systems
- Interactive data visualization dashboards
- Distributed tracing and APM
- Log aggregation and analysis
- Infrastructure monitoring and mapping
Developer Tools & SDKs
JavaScript • Python • Go • REST APIs • GraphQL
Creating developer-first tools and SDKs that make it easy to integrate monitoring and observability into any application or infrastructure.
Key Features:
- Multi-language SDK support
- Comprehensive API documentation
- Interactive code examples
- Developer-friendly onboarding
- Community-driven integrations
Security & Compliance
Security Monitoring • SIEM • Threat Detection • Compliance
Building security monitoring solutions that help organizations detect threats, investigate incidents, and maintain compliance across their infrastructure.
Key Features:
- Real-time threat detection and alerting
- Security information and event management
- Compliance monitoring and reporting
- Incident investigation workflows
- Integration with security tools
AI & Machine Learning
Machine Learning • Anomaly Detection • Predictive Analytics • AI
Leveraging AI and machine learning to provide intelligent insights, anomaly detection, and predictive analytics for modern observability platforms.
Key Features:
- Intelligent anomaly detection
- Predictive alerting and forecasting
- Automated root cause analysis
- ML-powered insights and recommendations
- Adaptive monitoring thresholds
Developer
Advocacy
Videos
Educational Content & Tutorials
A collection of videos covering observability best practices, developer tools, AI applications, and hands-on tutorials to help developers build better monitoring and observability solutions.
Topics Covered:
- Observability and monitoring best practices
- AI tools and developer productivity
- Hands-on tutorials and demonstrations
- Community engagement and developer relations
- Technical deep-dives and case studies
Explore My Work
Discover my experimental applications, developer relations activities, and creative projects beyond my work at Datadog.