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Take your time. There are ideas, stories, and a few tiny surprises tucked around here.

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I use engineering, research and practical experimentation to build AI systems that are useful, inspectable and easier to trust.

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Other

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Projects

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What I bring to the table

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Learn more about me!

Complex systems are my playground, useful software is my goal.

I'm an AI systems engineer, AI agent developer and founder of Nexasity AI focused on turning complicated workflows into useful software. I build AI agents, RAG systems, voice workflows and evaluation tools, always trying to make the final system clearer, more reliable and easier to use.

Playground

Experiments, side quests and things I made to understand how a system works.

Projects

A few systems, experiments and research projects I have built.

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From Kiwi roots to California sunshine

I moved from {{ l.ch }}{{ wordNZText }}| to California to play Division I college golf, first at the University of Oregon and later at CSUN. Early morning practice and workouts left me with habits I still use: show up, keep at it, and fuss over the small stuff. These days, California is home with my husband{{ wordHusText }}|{{ wordPetsText }}|.

The {{ c.ch }} into product design took a few detours. It started with physical product design, which had many of the same UX problems, just with objects instead of screens. From there, I moved into graphic design before an itch to build something more functional eventually led to digital product design.

I joined Numerade as its founding product designer and spent 5 years there{{ wordNumText }}|; now I’m at NEOGOV on PowerDMSNEOGOV PowerDMS, building complex software, talking directly with the people using it, and working out how to make public safety workflows feel intuitive.

Outside of work, I’m almost always building something. Sometimes that means designing and coding a side project, and turning a random idea into a working product just because I want to see if I can. Other times it means making an unnecessarily elaborate layered cake{{ wordBakeText }}|gaming recipe websiteCozy Eating, building miniature fairy bookcases, drawing charcoal images & drawer organizing{{ wordDrawerText }}|.

I like projects with a little >/{{ termText }}|. Serious products don’t have to feel lifeless, and personal projects don’t have to exist for any reason beyond “this would be fun to make.” Although... that philosophy has led to more unfinished ideas than I should admit.

From messy workflows to reliable systems

I started by building software, websites and small experiments, then kept moving closer to the problems where AI could actually be useful.

The {{ c.ch }} into AI systems took a few detours.

Now I build AI agents, RAG systems, voice workflows and software tools through Nexasity AI.

Outside of work, I’m almost always building something.

I like projects with a little >/{{ termText }}|. A good system should do something useful, but it should also make its decisions easier to inspect, test and improve. Although... I’m studying Computer Science and Engineering at BRAC University, and most of my free time goes into building systems, testing ideas and trying to understand where AI systems fail. Dhaka is home, and one of the research projects I’ve built is MarkLens ↗.

A few things I have been investigating

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False Containment: Measuring the Evidence Required to Verify Autonomous AI Incident Resolution

To be verified · 2026 · Apart Research AI Incident Response Sprint

A research project about how much evidence is actually needed before claiming that an autonomous AI incident has been resolved.

When the Record and the Report Diverge: Self-Report Fidelity Collapses Under Structured Provenance in Claude Haiku 4.5

Daud Ibrahim Hassan, Deniz Chen, and Soumya Parthasarathy · 2026 · Apart Research

A study of whether language models accurately report what they did when structured provenance and tool-use records are available.

MarkLens: Measuring Cross-Manager Valuation Dispersion in Private Credit at Scale ↗

Daud Ibrahim Hassan · 2026 · Independent preprint

A reproducible SEC EDGAR study of cross-manager private-credit valuation differences at scale.

Monitor Calibration Transport: Evaluating AI Safety Monitor Reliability Across Models and Distribution Shifts

Daud Ibrahim Hassan · 2026 · Independent AI safety research

A study of whether safety monitors calibrated on one model or task remain reliable when the model, task or deployment conditions change.

The Secret Life of Walter Mitty

Ben Stiller

Mr. Robot

Sam Esmail

Palm Springs

Max Barbakow

Pantheon

Craig Silverstein
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The Opportunity

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Scope & Reach

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What I owned

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Color System

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Objectives → Design framing

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Workflow Efficiency

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Designers could now…

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Key constraints & tradeoffs

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Research inputs

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How objectives translated to features

Why?

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KPIs & measurement strategy

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What was measured

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Solution

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Outcome & Reflection

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Results

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If I had more time…

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This project highlights my strengths in:

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Employee records — do not distribute

You weren’t supposed to find this.

Since you’re here, you might as well meet the employee keeping this portfolio running.

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Senior Portfolio Supervisor

LocationWherever the snacks are
Flight AbilityBest with a parachute
SniffingTop percentile
Lifetime Snacks ConsumedSnack budget exceeded
Years of ExperienceRecords are fuzzy
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Kiwi's Cabinet of Mischief

🐾Kiwi Mischief: Complete

Honorary Ground Crew

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Have a system in mind?

I’d love to hear what you are trying to build.
Dhaka, Bangladesh

Find all the hidden AI systems

© 2026 Daud Ibrahim Hassan
🐾

Kiwi Mischief: Complete

Clearance level upgraded.

You have demonstrated an unreasonable level of curiosity.

New title unlocked

Honorary Ground Crew