AI Architect · Developer · Investor
Jiran Zack
Jiran Zack
Deimel
RDU
·
MIA
·
DCA
·
NAS
I write the code, ship the system, own the outcome.
I'm selective about what I take on — but always open to conversations with people operating at a high level.
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Developer·
Founder·
Investor·
AI Architect·
Pilot·
Firefighter·
MMA Fighter·
Developer·
Founder·
Investor·
AI Architect·
Pilot·
Firefighter·
MMA Fighter·
About
Built at the intersection.
Over a decade, I've worked from Amazon's engineering teams in Germany to the Pentagon to OpenAI — building systems where failure has real consequences and results are measured in outcomes, not decks. Today I partner with a select group of founders, executives, and operators to deploy AI, redesign broken workflows, and build the systems their teams will actually use. I didn't grow up with advantages — self-made, fought through school with brain cancer, and learned early that consistency outlasts everything else. I don't hand over a strategy document and disappear. I stay in the work until it's done.
0+
Industries
0+
Projects
$0M+
Capital Deployed
$0M+
Value Created
Engagements
Ways I work.
Six engagement models. All of them end with something built, shipped, or running.
01
AI Strategy Sprint
For founders & executives who need clarity fast
A focused engagement that cuts through the noise. I audit your current stack, map the highest-leverage AI opportunities, and hand you a prioritized roadmap with honest build-vs-buy recommendations. No fluff, no bloated deliverables.
Typically includes- Current-state stack & workflow audit
- Prioritized opportunity map tied to P&L
- Build-vs-buy recommendations per initiative
- 90-day execution roadmap
View details
You leave with: A clear AI roadmap tied to your P&L, not buzzwords.
02
Systems & Automation Build
For teams drowning in manual work
I design and build the workflows, integrations, and AI tooling that eliminate operational drag — CRM automation, internal AI agents, reporting pipelines, and the glue holding your stack together. Built to be owned by your team.
Typically includes- Workflow mapping & system design
- Build & deploy to production
- Team training & full documentation
- Clean handoff — no vendor lock-in
View details
You leave with: Working systems your team can run without me.
03
Fractional AI Leadership
For organizations that need senior judgment, not a full-time hire
Embedded advisory on AI strategy, team upskilling, vendor selection, and implementation oversight. I act as a senior operator inside your company — in the right meetings, making the hard calls, ensuring the work actually gets done.
Typically includes- Executive-level AI strategy & governance
- Vendor selection & procurement oversight
- Team upskilling & hiring support
- Implementation review & course-correction
View details
You leave with: Momentum, accountability, and a team that knows how to keep moving.
04
Rapid POC Sprint
For teams who need proof, not promises
A time-boxed sprint that turns one high-stakes idea into a working demo in seven days. Scope locked on day one, build through the week, running prototype in your hands by day seven. No slide decks. No "next phase" to unlock.
Typically includes- Scoping call & success criteria
- Working prototype shipped in 7 days
- Full source handoff — your repo, your keys
- Post-demo review & productionization plan
View details
You leave with: A working thing — not a pitch — to show your team, your board, or your market.
05
Executive AI Workshop
For leadership teams getting aligned on AI
A hands-on working session that takes your leadership from "we should do something about AI" to aligned, informed, and moving. Drawn from the playbook I used to activate 1,800 employees at CAPTRUST — tuned to your org, your data, your blockers.
Typically includes- Pre-work assessment of your team's baseline
- Live session with scenarios from your business
- AI fluency primer for non-technical leaders
- 30-day action plan everyone signs off on
View details
You leave with: An aligned leadership team with a shared playbook — not a room full of different opinions.
06
Vendor Selection Partner
For organizations evaluating or negotiating AI vendors
I sit on your side of the table when you pick an AI vendor or sign a contract. Most companies overpay by 2–5x because they can't evaluate claims, benchmark alternatives, or negotiate technical terms. I fix that — quietly, and usually in a couple weeks.
Typically includes- Vendor landscape scan & shortlist
- Technical evaluation & reference checks
- RFP drafting & scoring framework
- Negotiation support through signature
View details
You leave with: The right tool, at the right price, with terms you can actually live with.
AI in Action
What it looks like in practice.
Fifteen systems — each one a different problem, a different architecture, a different result.
1
/
8
· swipe to switch
Deep Research Agent
Autonomous target-company intel — 6 sources in parallel · cited brief
Researching
Query
Diligence Apex AI — market, moat, team, risks
SECEDGAR filingsqueue
CRNBcap table · roundsqueue
LIteam profilesqueue
GHcode · activityqueue
ARXresearchqueue
RTRSnews · signalsqueue
Synthesized Brief
awaiting sources
—
Cited findings
[01]Series B closed at $32M post · Sequoia ledCRNB
[02]12 of 14 ML hires from FAANG eval teamsLI · GH
[03]Eval framework cited in 4 NeurIPS papersARX
[04]No active SEC investigations · clean filingsSEC
Voice Agent
Inbound call → intent → CRM → booking · end-to-end, sub-800ms latency
On call
Caller · +1 415 ·····
Agent · JZD.ai
00:00
Actions
Post-call summary
680msAvg latency
4:12Call length
0.92Sentiment
↳Intent · pricing inquiry, mid-market segment99%
↳Booked · discovery call · Tue 2:30pm PTSET
↳CRM · Acme Industries · Stage: QualifiedSAVED
Monte Carlo Simulator
10,000 scenarios · probabilistic ARR forecast · confidence-weighted output
Simulating
ModelARR trajectory FY24 → FY28
0 / 10,000 runs
P5 · worst$0
P50 · median$0
P95 · best$0
AI Synthesis
—
Forecast detail
$48MP50 ARR
$72MP95 upside
$24MP5 floor
87%P>target
↳Sensitivity · NRR > 110% drives 60% of upsideHIGH
↳Sensitivity · sales-cycle elongation = downside riskWATCH
Plan to P50, gate growth spend at P25. Hire ahead of P75 trajectory to avoid being capacity-bound on the upside.
Multi-Agent Research Swarm
Orchestrator plans · 3 specialists run parallel · sub-agent spawns on flag · synthesizer merges
Running
Agents0
Tokens0
Tool calls0
Cost$0.00
Orchestrator
idle
Market Scout
idle
webnews
Finance Analyst
idle
sqlpdf
Legal Scanner
idle
ragedgar
Patent Specialist
spawned on flag
Synthesizer
awaiting
Output
42-page IC memo delivered · 6 agents · 23 tool calls · $0.47 · 2m 14s runtime
Coordination ledger
[1]Orchestrator → Market · TAM & competitor mapDONE
[2]Orchestrator → Financials · cap table + burnDONE
[3]Financials ⇡ escalate Patent sub-agentSPAWN
[4]Patent → Legal · IP-moat verificationDONE
[5]All agents → Synthesizer · IC memo assembledSHIP
Autonomous Browser Agent
Computer-use model — reads the UI, moves the cursor, fills forms, completes tasks end-to-end
Live
crm.jzdeimel.com/deals/new
New Deal · Intro Call
CRM · Acme pipeline
Company
Contact
Stage
Value
Deal saved
Added to Q1 · Acme pipeline
Goal
Log today’s Acme intro call in the CRM and move it to Discovery.
Action log
Task complete
14Steps
100%Success
8.4sWall time
0Human input
Reads UI semantically, plans the path, recovers from missing fields. Same task takes a human ~3 minutes per record across 40+ records a day.
Autonomous Contract Analyzer
Legal · Procurement — playbook-graded redlines in seconds
Scanning
MSA — Vendor Services Agreement
§ 2.1
Scope of Services
§ 3.4
Payment Terms — Net 30
§ 7.2
Indemnification — uncapped
§ 9.1
IP Assignment — overbroad
§ 11.3
Confidentiality · 5-year
§ 14.5
Auto-renewal · no opt-out
§ 17.2
Limitation of Liability — 1× fees
§ 20.1
Governing Law · Delaware
Playbook Review
0 / 8 clauses
Awaiting scan…
✉
to: counsel@vendor.co
Negotiation email draft will appear when scan completes.
Redline summary
2Risk · high
2Risk · medium
4Pass
12sScan time
§ 9.1IP assignment overbroad — narrow to deliverablesREDLINE
§ 14.5Auto-renewal needs 60-day opt-out windowREDLINE
Live Risk Desk
Portfolio · Markets — AI-scored exposure, real-time trade gating
Live
TICKERQTYLASTΔ 1DAI SIG
AAPL12,400189.42+0.82%HOLD
NVDA4,200872.15+2.41%ADD
TSLA-3,800204.77-1.64%TRIM
XOM18,900114.08+0.12%HOLD
BTC48.264,812+3.15%ADD
AI Trade Queuelast 30s
News signal
Risk gating
62%AI risk score
182%Gross exp.
1.4σVaR · D1
7Trades cleared
Every order checked against drawdown limits, factor exposures, and position concentration. Trades that breach thresholds auto-block and flag the desk.
Multi-Tier Supply Chain Risk Engine
3-tier graph · disruption simulation · auto-routing · CFO-grade resilience
Routing
Disruption
Port of Kaohsiung closed · 14-day delay · 2,400 SKUs at risk
T1Acme · Final Assembly
T2PCB Module
T2Display Pack
T2Battery Pack
T3Wafer Fab
T3OLED Glass
T3Cell Cathode
T3Cobalt Mine
ALTSamsung Foundry
ALTGlobalFoundries
Current pathAT RISK
+14 days·+$2.4M cost·single-source
AI-suggested rerouteRESILIENT
+3 days·+$340K cost·2 alt suppliers qualified
Resilience report
14dOriginal delay
3dAfter reroute
$2.1MAvoided cost
2Alt suppliers
Single-source dependency at the Tier-3 wafer fab cascaded into a full-line stoppage. Auto-qualified Samsung Foundry + GlobalFoundries as parallel paths and converted exposed SKUs to dual-source in 18 days.
Live Knowledge Graph
Concept extraction · entity linking · semantic clustering — graph builds itself in real time
Building
Topic
AI Strategy
Entities0
Relations0
Clusters0
Confidence0%
Graph synthesis
19Concepts mapped
3Hops deep
94%Avg confidence
Auto-extracted entities and inferred relationships across a corpus, then clustered by latent semantic distance. The graph grows as new sources arrive — no schema, no hand-coded ontology, no manual review.
Autonomous Fleet Coordinator
10 agents · live path planning · obstacle avoidance · formation control
Tracking
Agents10
Threats0
Heading090°
Update62ms
Coordination report
10/10Survived
0Collisions
62msPlan latency
↗ 18%Path efficiency
Decentralized planner: each agent runs steering + local re-route on a shared world model. New threats trigger formation reshape; collision-free guarantee under bounded comms loss.
Test-Time Compute Scaler
Tree-of-thought search · branch & verify · answer quality scales with thinking budget
Thinking
Question
What's the optimal trading strategy in a regime-shifting volatility environment?
Thought tree
Answer quality
0%
Tokens spent
0
Branches explored
0
Final answer
—
Scaling report
10×Compute
3×Quality lift
30Branches at max
Scaling thinking at inference time — not training — turns a frontier model into a reasoning engine. Spend more compute on the questions that matter; spend none on the ones that don't.
Structured Document Extract
Layout parser · OCR + LLM grounding · field-level confidence · validation rules — paper to JSON in seconds
Extracting
Doc
Insurance claim · ACORD-1 form · 4 pages
Source
Extracted JSON
Fields0
Avg conf.0%
Validation—
Time0.0s
Pipeline report
12Fields extracted
96%Avg confidence
2Auto-flagged
2.1sEnd-to-end
Layout-first extraction beats OCR-only for tables and forms. Bounding boxes are grounded in the source — every field links back to a page region with a confidence score. Validation runs in the same pass.
Vision Triage Engine
Multimodal vision · region-of-interest heatmap · anomaly localization · top-k retrieval — delta detected in milliseconds
Scanning
Frame
Site 7-Foxtrot · 24h delta · sat pass 11:42Z · 2026-04
Capture
Top predictions
Anomalies0
Severity—
Similar0
Inference42ms
Inspection report
3Anomalies
HIGHSeverity
12Similar past
42msTime-to-call
Three deltas vs the 24-hour baseline: a vehicle muster in the eastern hardstand, a new construction footprint near the perimeter, and a personnel cluster outside the admin block. Routed to L2 analyst review with 12 historical pattern matches and recommended re-tasking window attached.
Thesis-Driven Deal Sourcing
News + jobs + patents + GitHub · trigger-event detection · thesis-fit scoring — 40,000 signals, 12 deals
Scanning
Thesis
AI infrastructure · seed–Series A · NA / EU · 6+ engineers
Signal feed
Ranked deals
Signals0
Deals0
Top score0%
Latency—
12-week backtest
0/12 rounds
Pipeline report
40KSignals/wk
12Deals surfaced
93%Backtest recall
2 wksLead vs market
Trigger-event detection beats keyword filters. Hiring spikes in research engineers, patent filings, and unusual GitHub activity surface companies before they fundraise — typically 2–6 weeks before they hit the wire.
Domain Adapter — Fine-Tune Pipeline
Base model + 200K curated case notes → domain-grounded model · accuracy lift in days, not months
Training
Domain
Healthcare claims · Llama-3-70B base · 200K curated case notes
Training
Output comparison · same prompt
"Code 99214 with comorbid hyperlipidemia + uncontrolled DM2 — what modifier applies under 2026 CMS rules?"
BASE
⚠ hallucination flag · vague rule cite
"Modifier 25 typically applies for evaluation services; check current CMS guidance for specific codes…"
FINE-TUNED
✓ grounded · cites internal policy
"Modifier 25 — significant, separately identifiable E/M service. Per the 2026 CMS update (NCCI 17.1, §70.1), pair 99214–25 with the Type-2 DM management code; document complexity in the chart per IM-2026-04."
Benchmark · base vs fine-tuned
Domain accuracy
Hallucination rate
Latency · p50
Adapter report
3.2×Accuracy lift
↓ 84%Hallucinations
5 daysTrain + eval
$0Data leakage
Domain adaptation (LoRA / DPO) keeps the base-model strengths while teaching the model your terminology, codes, policies, and decision patterns. No data leaves your environment. Accuracy lift compounds for every workflow built on top.
Process
From idea to production.
Four stages. Every engagement. POC-first, hardened for the bets that survive — same person, end to end.
01
Frame
Sharpen the question, not the spec.
Most engagements fail because no one named the assumption that has to be true. Before any code, I compress the problem into a single testable bet and define what winning looks like by Friday — so we know what we're measuring before we build it.
View details
02
Prototype
Working prototype in 2–5 days.
Not a deck. Not a phase one that unlocks a phase two. A real, runnable thing you can poke at — corners cut where they don't matter, focus locked on the riskiest unknown. Speed is the feature; it's how we learn before the budget burns.
View details
03
Validate
Real users. Real data. Real verdict.
The POC meets reality — actual users, production-shape data, the constraints the demo conveniently ignored. Three outcomes: kill it, iterate it, or promote it. Most prototypes die here, by design. That's the point of building cheap.
View details
04
Compound
Rebuild the winner. Own the platform.
Promoted POCs get a second build — security baked in, observability wired up, edge cases handled. Same person who built the prototype owns the production rewrite, ships it, and stays accountable to what runs. The hardened winner becomes infrastructure the next bet builds on top of — every shipped project lowers the cost of the next one. That's how 250+ projects compound instead of scatter.
View details
Present
Experience
A decade of high-stakes execution.
Fortune 500 boardrooms, federal agencies, and the AI frontier — a decade of execution where the consequences were real.
Problems 0
Output
Terminal
No problems have been detected in the workspace.
✓ 0 errors · 0 warnings · 0 outstanding deliverables
[JZD build] Running production checks...
✓ 250+ projects delivered across defense, enterprise, and startups
✓ 8-stage delivery loop: verified
✓ Client references: available on request
✓ Selective engagement model: active
✓ Q3 2026 availability: OPEN
Build succeeded with 0 warnings.
$ whoami
jiran-zack-deimel · AI consultant · investor · builder
$ cat availability.txt
Q3 2026: Open · Q4 2026: Open · Q1 2027: Open
$ npm run resume -- --recent
> career@2026.04 build
> validating achievements...
✓ 70+ AI projects shipped
✓ 1,800 employees trained on AI at CAPTRUST
✓ 16,000+ reached at World Summit AI Americas
✓ 20–35% efficiency gains across federal engagements
Build completed in 7 years.
$ _
Press & Speaking
On the world stage.
Keynotes, panels, and media appearances at the frontier of AI and emerging technology.
WSAI
World Summit AI Americas
Selected as a featured speaker on enterprise AI deployment and the operational leadership required to responsibly scale AI across regulated industries.
16K+ Live Attendees·80+ Countries·#1 Ranked Summit
View details
DEF
AI in National Security: From Lab to Battlefield
Panelist on the intersection of LLMs, autonomous systems, and responsible deployment in classified and ITAR-governed environments.
View details
POD
The Operator's Edge: Building AI Companies That Last
Deep-dive on what separates AI companies with real defensibility from demos dressed up as products — and how to evaluate founders in the space.
View details
WKS
From POC to Production: Deploying AI at Scale
Full-day workshop for CTO and CIO-level leaders on architecture patterns, change management, and governance frameworks for enterprise-wide AI rollout.
View details
KNT
Leading the AI-Powered Enterprise at TTEC
Presented to senior technology and business leaders on operationalizing AI strategy — covering responsible deployment, change management, and building AI-fluent teams at scale.
View details
WKS
AI Strategy Workshop — CAPTRUST
Led a hands-on AI strategy workshop for 250 employees and leaders at CAPTRUST — driving firm-wide AI literacy and practical adoption frameworks.
View details
POD
No Shortcuts: Leading AI Transformation from the Inside
Conversation on what it actually takes to move a large organization from AI curiosity to AI execution — the politics, the people, the prioritization.
View details
POD
Architects of the Frontier — Shipping AI That Actually Works
Guest on the Frontier AI Podcast breaking down the real work behind enterprise-grade AI deployments — from agent orchestration and RAG failure modes to the boardroom conversations no one records.
View details
Builder
Built & deployed.
| # | PROJECT ↕ | CATEGORY ↕ | INDUSTRY ↕ | STACK | OUTCOME |
|---|
Page 1 / 1
Ventures
Companies built. Capital deployed.
TICKER
COMPANY
SECTOR
STATUS
TREND
ROLE
ADBY
AdBuy
Ad Tech · AI
● ACTIVE
Investor
CRWN
Crown Equity Holdings
Private Equity
● ACTIVE
Investor
RVAI
RevolutionAI
Enterprise AI
● ACTIVE
Investor
LXRO
Luxaro Group
Luxury · Assets
● ACTIVE
Investor
GLVT
Gliavent Group
BioTech · Neuro
● BUILDING
Investor
Social Proof
In their words.
# client-references
SR
"Zack is the rare person who can architect a system in the morning, brief a C-suite in the afternoon, and close a deal by evening. An exceptional operator in every sense."
JT
"What sets Zack apart is his ability to translate complex technology into business outcomes. He doesn't just advise — he executes. We saw results within weeks, not quarters."
AK
"I've worked with a lot of AI consultants. Zack is on a completely different level. He understands the technology deeply, but more importantly, he understands the mission."
MD
"Working with Jiran changed how we think about AI adoption entirely. He built a framework that our teams actually use. The ROI was undeniable within the first quarter."
DW
"Zack has a gift for seeing around corners. He identified the integration gaps we didn't even know we had and built solutions that still run in production today."
RM
"I brought Zack in to advise on our AI strategy and he completely reframed how we were thinking about the problem. High conviction, zero ego. Exactly who you want in the room."
TB
"The depth of Zack's technical knowledge combined with his ability to communicate with executives is genuinely hard to find. He became our most trusted technology advisor."
JL
"Jiran delivered more in 90 days than our previous team did in a year. He operates with an urgency and precision that I haven't seen elsewhere. I'd work with him again without hesitation."
Character & Life
Beyond the boardroom.
JZD
📌 PinnedCustomize your pins
carsPublic
Track days, mechanics, and the relentless pursuit of the perfect apex.
Automotive★ 14Updated 2 days ago
aviationPublic
PPL + IFR certified. Checklist discipline transfers to every high-stakes decision.
Aviation★ 8Updated 5 days ago
mmaPublic
BJJ and Muay Thai. The mat doesn’t care who you are — only what you’ve put in.
Martial Arts★ 22Updated yesterday
fire-emsPublic
Active first responder. Trained to perform when lives are on the line.
First Response★ 18Updated 3 hrs ago
mentorPublic
Mentoring students at NC State focused on entrepreneurship and emerging tech.
Teaching★ 9Updated 1 week ago
golfPublic
Precision and patience. Reading conditions three shots ahead.
Precision★ 8Updated 4 days ago
pokerPublic
Reads people, manages risk, and plays long games. The table teaches what spreadsheets can’t.
Strategy★ 6Updated Friday
rescuePublic
Recovery, transport, and rehabilitation of animals in distress.
Welfare★ 4Updated 2 weeks ago
esportsPublic
Coaching competitive athletes and mentoring young professionals entering tech.
Coaching★ 14Updated 2 days ago
trainingPublic
Lifting, conditioning, and mobility work. The hour where the only argument is with myself.
Strength★ 11Updated yesterday
Organizations
⛪
🏎️
🎁
🚗
Let's build something worth building.
Selective about engagements, serious about results.
Open to
Advisory Roles
Consulting
Fractional Leadership
Build Partnerships
Speaking
Ask me something