A representative architecture for a gold-backed cross-border settlement network, based on my engi...A representative architecture for a gold-backed cross-border settlement network, based on my engi...
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A representative architecture for a gold-backed cross-border settlement network, based on my engineering work with proprietary client details removed.
I worked across blockchain architecture, technical leadership, backend and distributed systems, designing how a permissioned network could combine reserve-backed issuance, multi-party trust, compliance and auditable settlement.
A key architectural decision was separating mutable compliance and personal data from immutable ledger state. Sensitive and erasable information remains off-chain, while the ledger preserves hashes, attestations, supply state and transaction history.
The design also enforces reserve-backed issuance at the protocol level: circulating supply cannot exceed independently attested reserves, with multi-party endorsement preventing unilateral issuance.
My contribution included: blockchain and trust architecture, endorsement and supply-control design, backend/ledger boundaries, Go chaincode architecture, Hyperledger Fabric integration, and Kubernetes-based deployment design.
Been freelancing on Contra and building a tool for freelancers at the same time lol.
It's called ProposalForge. You give it a client brief and your rate and it drafts the proposal, and I use it on my own drafts too.
It's live now and free to try (3 proposals, no card). The video shows a free checker I made along the way that marks the phrases that make a proposal sound like ChatGPT. No sign-in: proposalforge.site/check
I'm trying to see where people actually get stuck. What part of writing a proposal takes you the longest? The opening, scoping and pricing, or just getting started?
Proud to officially add the AWS Certified Machine Learning Engineer - Associate certification to my toolkit!
Building robust machine learning pipelines and scaling AI workloads securely on the cloud has always been a key focus of mine. Earning this certification has been a great deep-dive into mastering AWS ML infrastructure, MLOps best practices, and production-grade architectures.
Ready to bring these advanced capabilities to upcoming data science and engineering projects! Let's build something impactful. 💡💪
Congratulations on earning the AWS Machine Learning Engineer certification, Hazem khaled! Robust pipelines and cloud automation make all the difference for production-grade AI systems.
clean layout, the story cards read well. does the admin side have drafts and scheduled posts? that's usually the first thing people ask for once they start writing regularly