Founder and systems-focused engineer building software for environments where trust, traceability, and correctness are not optional.
I am a software engineer and founder. I build systems where correctness is a hard requirement, not a nice-to-have. My work spans forensic evidence infrastructure, AI governance, security-minded architecture, and early-stage product execution.
I started building because I kept encountering problems where the available tools were either too generic, too fragile, or built without understanding the domain they served. Forensic systems that could not prove their own integrity. AI pipelines with no audit trail. Products architected by committee and shipped by hope.
So I build the alternatives. Systems designed around the hard constraints first. Software that works the way it needs to work when someone actually depends on it, when a legal team needs to trust an output, when a model decision needs to be explainable after the fact, when a product needs to survive its first thousand real users.
My background is broad by necessity. Forensic evidence systems taught me about chain of custody, tamper detection, and building for adversarial conditions. AI governance work taught me about behavioral constraints, reproducibility, and the gap between what a model can do and what it should be allowed to do. Product work taught me that none of it matters if you cannot ship.
I work across the full stack and across organizational boundaries. I am as comfortable designing a data model as I am defining a product roadmap, and I have done both in the same week more times than I can count.
Three areas where most of my energy goes.
Forensic Infrastructure
A forensic evidence platform for capturing, sealing, and verifying digital artifacts. GhostLogic is built for legal and insurance use cases where evidence integrity is non-negotiable. The system spans endpoint telemetry collection, immutable evidence capsule storage, multi-pass forensic analysis, and automated claims settlement. Every component is designed around chain of custody, tamper detection, and adversarial resilience.
Governed AI Orchestration
A runtime for orchestrating AI model interactions with built-in governance, behavioral constraints, and full audit trails. Maelstrom ensures that model outputs are reproducible, accountable, and explainable. Built for environments where AI decisions carry legal, financial, or safety consequences and where “it usually works” is not an acceptable standard.
Architecture & Delivery
Beyond my own products, I do architecture and delivery work for early-stage companies and complex technical problems. This means defining system boundaries, choosing the right technical approach, building prototypes that prove viability, and shipping production systems that work. I focus on the problems where getting the architecture right early saves months of rework later.
I am a systems-first thinker. Before I write a line of code, I want to understand the boundaries. What are the inputs, the outputs, the failure modes, the trust boundaries? Who depends on this, and what happens when it breaks?
I care about structure, not just features. A well-structured system is easier to debug, easier to extend, easier to hand off, and easier to trust. I optimize for clarity and reliability over cleverness.
I think about the gap between an idea and a working product. That gap is where most projects die. It is where ambiguous requirements meet real technical constraints, where architectural shortcuts become permanent liabilities, and where the difference between a prototype and a production system gets decided. I spend most of my time in that gap, making sure what comes out the other side actually works.
Practical implementation matters to me more than theoretical elegance. I have seen too many architecturally beautiful systems that never shipped. The best system is the one that runs, that handles edge cases, and that someone can maintain after you move on.
I do my best work in environments that share certain characteristics.
If you are building something that requires real engineering rigor, forensic-grade trust, or just someone who can turn a hard problem into working software, I would like to hear about it.