Peer-reviewed research, articles, and technical insights
BAR/NDSS Workshop 2018. Research tool for detecting taint-style security properties in binary code using a mix of static and dynamic taint techniques. Provides a DSL for taint policies. Demonstrated on real programs.
Role: Author/maintainer of repo. Links: GitHub repo Paper
IEEE BRAINS 2020. Blockchain-based decentralized compensation for digital content purchases with transparent, programmable payouts and smart-contract design.
Role: Author/co-author. DOI: 10.1109/BRAINS49436.2020.9223299 Links: 10.1109/BRAINS49436.2020.9223299 ResearchGate
Medium, Feb 1, 2023. Defines "utility NFTs" and argues for real-world utility beyond collectibles, with examples like access passes. Implications for marketplaces.
Link: Medium Article
Medium, Feb 17, 2022. Guide on running Python jobs on KnowledgeX via iExec and TEEs. Covers Dockerized templates, worker verification, and auditability for developers and data scientists.
Link: Blog Post
Occasional technical notes and insights from working with AI systems, distributed architectures, and enterprise software. These are less formal than talks but capture important lessons and observations.
Building a prompt optimization system that scales across teams and maintains consistency in AI outputs. Lessons learned from implementing a "Prompt Wizard" for enterprise use cases.
Designing resilient AI workflows using event-driven architecture patterns. How SQS/SNS can help manage AI pipeline backpressure and ensure reliable processing.
Intelligent routing strategies for multi-model AI deployments. Cost optimization while maintaining performance and quality across different model providers.
Essential security considerations for AI platforms: data privacy, access control, audit trails, and compliance automation in AI-first applications.