Do you take freelance or contract Palantir Foundry work?

Yes. I work as an independent Foundry consultant — short proof-of-value sprints, fixed-scope builds, or ongoing fractional engineering alongside your team.

How fast can you start?

Send me the problem by email. We do a 30-minute scoping call, agree on a written problem statement, and I deliver a first working build within a week.

Which parts of Foundry do you cover?

End to end: Data Connection, Pipeline Builder and Code Repositories (PySpark), Ontology design, Workshop, Quiver, Functions, OSDK and Developer Console apps, Model Studio and AIP.

Can you work inside our existing Foundry enrollment?

Yes — I work within your enrollment, your governance and your security model, and leave documentation so your team owns what gets built.

Palantir Foundry consulting

A Palantir Foundry developer you can bring in this week.

I design Ontologies, build production pipelines and ship operational apps on Palantir Foundry — for teams starting out, scaling up, or untangling an enrollment that grew faster than its foundations.

Email your problem statement

01 / Engagement

How a project runs.

pipeline · engagement

inbox.email
You email the problem
queued
scope.call
30-min scoping call
queued
problem.statement
Written problem statement
queued
build
Working build within a week
queued
deliver
Demo & hand-off
queued
outcome
You happy · I happy
queued

▍

02 / Services

What I deliver.

Foundry implementation & data integration

Connect ERP, files, APIs and cloud storage; build incremental PySpark and Pipeline Builder transforms with data-quality checks, lineage and schedules you can trust.

Data ConnectionPipeline BuilderCode Repositories

Ontology design

Object and link types, actions, writeback and row-level security modeled around the decisions your teams actually make.

Ontology ManagerActionsObject Views

Operational apps

Workshop and Quiver applications, custom widgets, TypeScript Functions, and OSDK React apps shipped through Developer Console.

WorkshopQuiverFunctionsOSDK

AIP, ML & automation

Forecasting in Model Studio, AIP Logic workflows, and alerting automations that put predictions in front of the people who act on them.

AIPModel StudioAutomate

Rescue & optimization

Slow builds, failing schedules, tangled repos or an Ontology nobody trusts — audit, fix and hand back a platform that runs itself.

Health checksIncremental transformsCost tuning

—

Something else on Foundry?

If it runs on Foundry, describe it — I'll tell you honestly whether I'm the right fit.

03 / Platform

Coverage across Foundry.

01 · sources
Sources
- — ERP / IBM i
- — Files & Excel
- — APIs
- — S3 / cloud
02 · ingest
Ingest
- — Data Connection
- — Syncs & agents
- — Schedules
03 · transform
Transform
- — Pipeline Builder
- — PySpark repos
- — Incremental
- — Data expectations
04 · ontology
Ontology
- — Object types
- — Link types
- — Actions
- — Row-level security
05 · apps
Operational apps
- — Workshop
- — Quiver
- — Functions
- — OSDK apps
06 · ai
AI & decisions
- — AIP Logic
- — Model Studio
- — Automate
- — Alerts

04 / Proof

Foundry work in production.

Palantir Foundry

Self-Serve KPI Reporting App on Foundry

A config-driven KPI engine on Foundry: define a KPI once, render it everywhere — served to every business unit through an OSDK React app with Ontology-enforced row-level security.

KPIs: 8 → 40+
Business users: 300+
Page load: < 2 s
New-KPI turnaround: 3 days → < 2 h

Code RepositoriesFunctions (TypeScript)OSDKDeveloper ConsolePySparkReact

Read case study →

Palantir Foundry

AI-Powered Inventory Demand Forecaster

Six-month, per-SKU demand forecasts trained in Foundry Model Studio, with approved signals flowing straight into the production planning channel.

MASE: ≈ 0.78
Horizon: 6 months / SKU
Demand profiles: 3

OntologyModel StudioCode RepositoriesWorkshopPySparkAutoGluon

Read case study →

Palantir Foundry

PO Alerts & Consolidated Inventory Platform

Replaced Excel-based PO tracking with an Ontology-backed alerting platform: one-click PO summaries, exception views and stockout warnings across 12 facilities.

Users: 200+
Facilities: 12
Manual review: −90%
Stockouts prevented: 12+ in 6 mo

Pipeline BuilderCode RepositoriesOntologyWorkshopQuiverAutomate

Read case study →

Palantir Foundry

Supply Chain Route Optimizer

Route optimization on a clean logistics Ontology, exposed through a React app with row-level security and pushed back to operational systems via AWS Lambda.

Transportation cost: −18%

Data ConnectionCode RepositoriesOntologyDeveloper ConsoleReactAWS Lambda

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Palantir Foundry

Semiconductor Materials Supply Ontology

Supply/demand alignment for semiconductor raw materials — supplier feeds, ERP and fab consumption unified in one Ontology, with wafer-genealogy and equipment-monitoring apps.

OntologyCode RepositoriesQuiverWorkshopContour

Read case study →

05 / FAQ

Common questions.

Do you take freelance or contract Palantir Foundry work?: Yes. I work as an independent Foundry consultant — short proof-of-value sprints, fixed-scope builds, or ongoing fractional engineering alongside your team.
How fast can you start?: Send me the problem by email. We do a 30-minute scoping call, agree on a written problem statement, and I deliver a first working build within a week.
Which parts of Foundry do you cover?: End to end: Data Connection, Pipeline Builder and Code Repositories (PySpark), Ontology design, Workshop, Quiver, Functions, OSDK and Developer Console apps, Model Studio and AIP.
Can you work inside our existing Foundry enrollment?: Yes — I work within your enrollment, your governance and your security model, and leave documentation so your team owns what gets built.