Capabilities, and what backs them

Multi provider platforms, provider abstraction, and the operational side of running language models in production.

Assessing generated code, architecture, security reasoning, and prompt quality for technical correctness.

Training and evaluating vision and multimodal models, and explaining what they decided.

Autonomous reasoning pipelines, tool use, and retrieval augmented generation.

Securing AI systems, responsible deployment, and the ethics that has to sit alongside it.

S3 for the object storage behind the enterprise platforms, and EC2 for the machines they run on.

One of the interchangeable backends behind the regulatory platform's storage layer.

Media storage and delivery across the enterprise products.

Event processing, microservices, and system design for platforms that stay up.

REST and gRPC interfaces built to be used by people other than their author.

Carbon accounting under the GHG Protocol and ISO 14064-1, and the reporting workflows built on top of it.

Compliance systems for government and international bodies, where the rules are the specification.

Backend services, distributed systems, and platform engineering.

AI systems, security tooling, and backend services.

Production smart contracts, upgradeable patterns, and ERC standards.

Zero knowledge circuits, where the work is expressed as constraints rather than as statements.

Typed frontends and the client libraries that talk to them.

Operational scripting and the remote command surface behind SSH driven tooling.

Server side scripting inside Redis, where a scan or a mutation has to run as one atomic step.

Microcontroller programming, and the embedded end of the hardware and software boundary.

Discovering, configuring, and verifying Linux servers over SSH, across nine platform families.

A storage layer written against the idea rather than a vendor, so local disk, MinIO, S3, and a cloud bucket are a setting rather than a rewrite.

Containerised services, reproducible builds, and CI through GitHub Actions.

DEX design, liquidity systems, order books, intent based architectures, and account abstraction.

Circuits, commitments, nullifiers, and proving a fact without disclosing what makes it true.

Bytecode level analysis, cross chain infrastructure, and multi chain systems.

Vulnerability research, exploit development, and formal verification against deployed contracts.

Threat modelling, attack surface assessment, and security controls at the protocol layer.

Continuous monitoring, threat intelligence, and automated analysis rather than one off reviews.

The framework behind the enterprise AI platforms, the document intelligence layer, and the container tooling.

The framework the freelance work started on in 2020, and still what the first deepfake detection system runs on.

Knowing what a production system is doing before someone reports that it is not.

Relational modelling, constraints that enforce rules the application cannot forget, and full text and vector search in the same database.

Document modelling for records whose shape is set by the framework being analysed rather than by a schema, across both async and synchronous drivers.