Patrick Felber
AI Engineer & Solution Architect
10 years software engineering • 7 years AI specialization
Specialized in integrating and deploying production AI systems. Built document processing pipelines handling 1.2M+ documents monthly using LLMs, VLMs, and computer vision models. Expert in taking ML models from research to scalable production infrastructure.
Featured Projects
Highlights from 11 professional projects building production AI systems
LLM/VLM-based Document Extraction System
📅 2023 - 2026
Integrated Large Language Models and Vision-Language Models into production document extraction system, architecting end-to-end AI solution serving enterprise clients.
GitHub Copilot Enterprise Integration
📅 2024
Promoted adoption of AI coding assistants across the organization, first to integrate GitHub Copilot company-wide.
Company-Wide RAG-based Chat Assistant
📅 2022
Architected and integrated self-hosted enterprise RAG system using Langchain (early adoption), vector databases, and agent frameworks to provide intelligent access to company knowledge base.
CNN-based Document Field Extraction
📅 2019
First AI solution integrated at Springtime Technologies - CNN-based field extraction system with custom embedding layer for automated invoice processing.
Generative AI Experimentation & Self-Hosted Models
📅 2025 - 2026
Built private AI infrastructure for experimenting with state-of-the-art generative models across video, image, and audio domains.
Reinforcement Learning Trading Bot
📅 2017 - 2019
Implemented autonomous trading system using OpenAI's reinforcement learning algorithms, deployed on live cryptocurrency exchange.
Poker Bot with Computer Vision & Neural Networks
📅 2014
Built automated poker bot using computer vision, OCR, neural networks, and custom HUD to play on PokerStars.
Core Expertise
Building production AI systems that scale
AI/ML Integration
Production deployment of LLMs, VLMs, RAG systems, and custom ML models. Experience with PyTorch, TensorFlow, Langchain, vLLM in enterprise environments.
Document AI
7 years building document extraction systems. CNNs, transformers, OCR integration, and vision-language models processing millions of documents monthly.
Infrastructure & DevOps
Azure GPU VMs, Docker, Kubernetes, Terraform. Scalable model serving infrastructure with monitoring, CI/CD, and cost optimization.
Let's Build Something Amazing
I'm open to AI engineering opportunities at innovative companies working on challenging problems. Let's discuss how I can help you build production AI systems.