“I build and deploy AI systems that survive contact with reality.”
I’m a Forward-Deployed AI Architect who bridges the gap between founder agility and enterprise rigor. My work sits at the intersection of AI engineering, data systems, and large-scale institutional deployment.
From multi-agent systems to LLM orchestration and enterprise data platforms, I embed directly with clients to turn ambiguous business goals into production-grade, measurable outcomes.
| Domain | Expertise |
|---|---|
| AI/ML & Deep Learning | Prompt Engineering, LLM Fine-tuning (LoRA, QLoRA), RAG Architectures, Multi-Agent Systems (AutoGen, LangChain) |
| Software Engineering | Python (Expert), JavaScript/TypeScript (React), Microservices, REST APIs, SQL, Git/GitHub |
| Deployment & MLOps | CI/CD for ML, Model Monitoring, Docker, Kubernetes (AKS/EKS), Cloud (Azure, AWS, GCP), Serverless |
| Data & Integration | ETL/ELT Pipelines, Apache Spark, Databricks, Vector Databases (Pinecone, Milvus), Unstructured Data Processing |
Agentic Workflows & SOTA Innovation for Financial Services
- Orchestrated Multi-Agent Swarms using AutoGen & LangChain on GCP Cloud Run for a major Swiss financial client.
- Deployed specialized agents for Data Extraction, Risk Assessment, and Auditing.
- Designed the Unified Discovery Framework to rapidly move from ambiguous client specs to MVPs within weeks.
Institutional Scale Deployment: Energy, Government, Healthcare
- Built “The Corporate Cortex”, an advanced RAG system for field engineers (Downer Group).
- Architected a real-time Cloud Data Platform for a National Energy Provider using Azure Synapse & Databricks.
- Delivered a Semantic Search compliance solution using PyTorch on AKS.
- Developed ML forecasting models for bio-production metrics (TINE).
- Managed technical operations for an 1,800 sqm innovation hub.
- Acted as technical co-founder for multiple deep-tech startups transitioning from PoC to production.
- Bootstrapped a consulting agency to €1M+ revenue, supporting 30+ Swiss startups.
- Defined end-to-end operational stacks, digital infrastructure, and go-to-market tech strategy.
- Data Science & Machine Learning: Making Data-Driven Decisions – MIT Schwarzman College of Computing (2021–2023)
- AI Developer Certification Program – MindStudio (2024)
- Generative AI Foundations – GSDC (2024)
- B.Sc. in Hospitality – EHL (École Hôtelière de Lausanne) (2013–2018)
🇬🇧 English (Native/Bilingual) • 🇵🇹 Portuguese (Native/Bilingual) • 🇪🇸 Spanish (Professional) • 🇫🇷 French (Working) • 🇩🇪 German (Working)
- Agentic AI Systems & Multi-Agent Collaboration
- Generative AI for Institutional Workflows
- Scalable ML Deployment & Responsible AI Infrastructure
- Bridging AI Research → Enterprise Readiness
"Bridging the gap between innovation and implementation — where AI meets the real world."
— Philippe Küng