
QANTIS · Public preprints
Decision inference under uncertainty
A research programme testing where hardware-derived belief updates can support accountable decisions.
Founder / Technical Lead Neura Parse
I founded and lead Neura Parse, a research-led technology company. My responsibility is to give ambitious work a credible path from question to system: set direction, bring the right disciplines together and require evidence before a technical result becomes a product commitment.
This approach grew through public infrastructure, carrier platforms and enterprise AI, where reliability, governance and long-term ownership matter as much as the initial build.
Available in three languages. Read online or download the two-page PDF.
Early work in regulated services made correctness, auditability and institutional handover practical obligations. Carrier-scale platforms widened that view to continuity and production responsibility. In enterprise AI, the problem changed again: a plausible output could still be wrong, so evaluation and human authority had to become part of the architecture. My final role at NETAŞ was Project Manager; I left the company in September 2026.
Founding Neura Parse broadened the remit from individual systems to a company agenda. I now connect research questions, product design and delivery planning, setting clear thresholds for what can be tested, piloted and claimed. The aim is to advance the technology while keeping its limits visible to the people who must rely on it.
The same decision discipline runs from research through delivery.
Start with a question worth answering, a credible comparison and conditions that could disprove the preferred result.
Carry what has been learned into bounded components, reviewable evidence and clear operating responsibilities.
Align teams and partners around the next decision, then make commitments only when the technical and organisational gates are ready.
SELECTED WORK / PUBLIC RECORD
Three views of the same responsibility: test the method, shape the system, and state its operating boundary.

QANTIS · Public preprints
A research programme testing where hardware-derived belief updates can support accountable decisions.

QFlow Studio · Pilot planning
A controlled record keeping the brief, circuit, execution context and result together for review.

NODERIQ · Applied research
An edge-operable architecture in which a system may recommend while a person remains responsible for the decision.
Essays and field notes on decisions, systems and evidence.

A restricted measurement can leave several Hamiltonians compatible with the data. My one-qubit study asks what control performance can still be guaranteed.

TypeSafe’s Jev puts typed decisions inside software. The interesting question is how probabilities become actions that code can govern.

A capable model can propose an action. A reliable system must control it, verify the result and know when to stop.
The research, book, company and product records are available separately, with their methods, dates and limits attached. They show what has been completed and what is still under development.