10/27/2026 updated


Premium member
100 % availableAI/Systems Developer & Palantir Foundry Developer | Enterprise Data Platforms & Production AI
Wien, Austria
Worldwide
B.Sc. Data Science and Knowledge Engineering, Maastricht UniversityAbout me
Freelance AI/Systems and Palantir Foundry Developer, 7+ years. I build production AI systems and the data platforms they run on — usually for the same client. I like owning things end to end, data model to deployed UI, and shipping systems that get checked: evals, monitoring, data-quality gates.
Application Programming Interfaces (APIs)Apache AirflowData InfrastructureData IntegrityData QualityData SecurityReverse EngineeringSystems IntegrationTypeScriptPrompt Engineering
Palantir Foundry (Pipeline Builder, Ontology, Workshop, Code Repositories, AIP Logic, AIP Agents, Automate, Evaluation Suites, Contour, Quiver, Vector/kNN), Palantir Foundry Certified Data Engineer, AI engineering, LLM systems in production, LLM evaluation and monitoring, prompt engineering, vector search, embeddings, RAG, AI agents, Anthropic Claude API, OpenAI Whisper, Python, PySpark, Pandas, SQL, ETL, data pipelines, data modeling, ontology modeling, identity resolution, data quality, Apache Airflow, Dagster, Oracle, Snowflake, SAP, SAS, Looker, XML, REST APIs, webhooks, GDPR, data privacy, data security, TypeScript, JavaScript, Node.js, React, Next.js, HTML, CSS, Hono, FastAPI, Flask, Cloudflare Workers, Cloudflare D1, PostgreSQL, Docker, GitHub Actions, AWS, Git, system integration, ERP, CRM, powercloud, billing platform migration, process automation, workflow automation, requirements analysis, vendor management, stakeholder management, technical project lead, team lead, rapid prototyping, Figma, R, Matlab, machine learning, reverse engineering, debugging
Palantir Foundry (Pipeline Builder, Ontology, Workshop, Code Repositories, AIP Logic, AIP Agents, Automate, Evaluation Suites), Palantir Foundry zertifizierter Data Engineer, KI-Entwicklung, LLM-Systeme im Produktivbetrieb, LLM-Evaluierung und Monitoring, Prompt Engineering, Vektorsuche, Embeddings, RAG, KI-Agenten, Anthropic Claude API, OpenAI Whisper, Python, PySpark, Pandas, SQL, ETL, Datenpipelines, Datenmodellierung, Ontologie-Modellierung, Identitätsauflösung, Datenqualität, Apache Airflow, Dagster, Oracle, Snowflake, SAP, SAS, Looker, XML, REST-APIs, Webhooks, DSGVO, Datenschutz, Datensicherheit, TypeScript, JavaScript, Node.js, React, Next.js, HTML, CSS, Hono, FastAPI, Flask, Cloudflare Workers, Cloudflare D1, PostgreSQL, Docker, GitHub Actions, AWS, Git, Systemintegration, ERP, CRM, powercloud, Abrechnungssystem-Migration, Prozessautomatisierung, Workflow-Automatisierung, Anforderungsanalyse, Dienstleistersteuerung, Stakeholder-Management, technische Projektleitung, Teamleitung, Rapid Prototyping, Figma, R, Matlab, maschinelles Lernen, Reverse Engineering, Debugging
Experience
Professional experience5 - 10 years
Freelancer since2018
Languages
DeutschNative speakerEnglischFluentFranzösischBasic knowledgeSpanischNative speaker
Project history
Brought in to build the client's Palantir Foundry instance from scratch - sole developer for the first months, then led the 4-person engineering team from 08/2025.
• Platform: integrated 10+ source systems (Zoom, Close, GoHighLevel, WhatsApp/WAHA) via a MariaDB webhook landing zone and a Python/PySpark transforms repo; built identity resolution as the company's single source of truth.
• Production AI/LLM system for customer support, shipped in one month: LLM ticket clustering secured by evaluation suites, automated response drafting with Automate monitors, vector/kNN search - 28 AI building blocks (3 AIP agents, 18 AIP-Logic functions, 4 monitors, 2 evaluation suites).
• Designed Ontology v2 - 29% of the company's ontology model, 31% of all productive datasets, 21% of all end-user apps.
• ~20 productive apps for sales, support and event teams; sole data enabler across three live sales summits, bulk-tagging 6,500+ leads per session.
• Onboarded a junior developer into Foundry within a month; 92% of colleagues' later datasets sit downstream of the ingestion and ontology layer I built.
The engagement concluded as planned in 04/2026; the client became insolvent shortly after and the Foundry instance was closed.
Turned a phone-and-paper boat-tour business into a digital ecosystem I designed and built end to end, running on ~20 EUR/month infrastructure with no vendor lock-in.
• AI-assisted charter CRM with auto-quoting (availability + opportunity cost to draft PDF quote and email): cut handling time from ~20 to ~4 min and response time from 24h+ to ~2h; associated with a self-reported +40% increase in closed deals.
• Self-built hotel booking portal (Cloudflare Workers, Hono, D1, real-time FareHarbor availability, QR onboarding, PDF invoicing) - 15 hotels onboarded.
• Grew the scheduled-line-trip channel from near zero: programmatically onboarded 4 booking-partner agents, 2 of them without an official API, via custom integration scripts.
• WhatsApp automation product (self-hosted WAHA, Cloudflare Workers, TypeScript, Neon Postgres, AI replies via Claude) - 35 own API routes, ~6,200 lines; later rebuilt at The Original Body.
• Fleet scheduling (Workers, React, D1, Claude SDK) with AI conflict detection before publish; FareHarbor/CalDAV slot-sync (Flask); multi-tenant jetty booking (FastAPI, PostgreSQL); marketing site (Next.js).
• Automated manual workflows across the business; worked directly with the CEO on positioning, partnerships and market entry.
Technical lead for the integration of powercloud (a cloud billing and operations platform for utilities) at a municipal energy provider, acting on the client's side.
• Acted as the client's sole technical authority opposite three external service providers - coordinating and challenging them to ensure correct, complete integration and that nothing superfluous was sold to the client (cost control and vendor governance).
• Was the only person carrying the integration technically on the client side; in-house specialists supplied technical prerequisites only.
• Primary link across all stakeholders; ran cross-functional meetings to align on technical objectives.
• Closed system gaps with custom solutions and third-party integrations, improving integration and process efficiency; coordinated training and post-implementation support for smooth software adoption.
• The platform went into operation; new customer contracts were being sold on the new infrastructure as of handover.