Engineering Leader · AI Platforms & Systems

Stan Hammett AI-Native Builder

I turn messy, manual processes into AI-guided systems people actually use — using AI as a force multiplier to ship what normally takes a team. I think in systems and plain language, lead through outcomes, and can prove every claim on this page.

The Platform

An internal AI platform, shipped and adopted

At Epiq, I designed and built an AI platform that turned recurring, hour-consuming manual work into guided tasks — now used daily across every role on a legal-operations team.

15+guided tools,
one platform
5roles using
it daily
hrs→minon recurring
work
0custom models
to train or host
01 · Adoption

Guided, not prompted

A role-based palette of tools where users pick a task and answer a few fields — no prompt-writing required. That's why frontline staff actually adopted it.

02 · Intelligence

A domain expert, not a generic one

Grounded in the organization's own data, schemas, and methodology — a GitHub Copilot replacement tuned to the team's real work, with no custom model to train or host.

03 · Safety

Safety as a guarantee

Destructive actions are previewed and reversible, and every AI-generated query is verified against the live database before it runs — so it can't act on data that doesn't exist.

04 · Reliability

Cost- and failure-aware

The platform shifts between AI providers by workload and fails over automatically when one is unavailable — so work never stalls and costs stay controlled.

Measured Impact

Hours of manual work, now minutes

Every tool replaces a recurring task that used to be done by hand. Same work, a fraction of the time.

D&DS AI Platform · Impact Readout ● live in daily use
ToolReplacesBeforeAfter
Grouped Data ImportGrouping 20 client data files by column structure30–45 minSeconds
DA Cycle TimeHand-calculating task-level cycle time across SRsHoursSeconds
Tech Reqs GeneratorTranslating a Client Services FR into a Tech Reqs workbookHalf-day15–30 min
Discover MUGenerating a mass-update SQL script for a caseHours15–30 min
Disbursement CalcGenerating a disbursement calc script from a tech req2–4 hours~30 min
ETL QA GeneratorProducing T-SQL ETL QA scripts from business rules1–2 hours10–20 min
No-Tech-Reqs GenDrafting Ad-Hoc / SSRS report scripts from an RA FR1–2 hours10–15 min
Business Rules & MappingsGenerating staging + business-rule SQL from mapping Excel1–2 hoursMinutes
Initial Data Load CleanupTurning plain-English cleanup rules into T-SQL30–60 minMinutes
BSA Name ParsingGenerating name-parsing SQL for a new case45+ minSeconds
Workforce Signal EngineReviewing every open SR to find who is stalled30–60 min5 min
AI ChatContext-switching across SSMS, Excel & the SR systemMin/lookupInline
Image to HTMLManually coding HTML from a design mockup30–60 min1–2 min
Save + Upload IDManual date-stamped "Save As" + macro strip5–10 minOne click
Withdrawal Rate ReportHistorical cumulative withdrawal calc for auditHalf-daySingle query
Figures are internal estimates from the teams that use each tool.
Beyond the Day Job

AI infrastructure, built from the metal up

I don't just use AI — I run it. A self-designed, fully offline stack for training and serving my own models.

Multi-GPU inference platform
A self-hosted workstation running simultaneous image, video, audio, code, and 3D inference on one GPU set and open-weight LLM inference (vLLM, Ollama) on another — fully offline, no external dependencies or third-party data sharing.
Custom model training
Hand-trained diffusion models on a from-scratch PyTorch + diffusers + xformers stack in WSL/CUDA — tuned per project to eliminate generic "AI slop," including person-specific models that replace ongoing photoshoots for real campaigns.
On-network personalized LLMs
Self-hosted open-weight language models serving individual users, with per-user guardrails, memory, and context profiles layered over a shared base model.
Interconnected game systems
150+ page design documents across three projects — meticulously specifying how gameplay systems, economies, and progression mechanics interconnect and function.

Creative & experimental work → edgetech.industries

Let's talk

Building something
worth building?

stanhammett@icloud.com

Engineering Leader · AI Platforms & Systems · Remote

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