I'm Paweł — an AI engineer with 8+ years of shipping systems for AT&T, NBC Universal, Wasabi, and startups across the US and EU. LLMs, RAG, computer vision — built in Python and Go, deployed on Kubernetes, kept alive in the real world.
Most of my career has been spent in the gap between a promising demo and a system someone actually depends on — data pipelines that feed the model, backends that serve it, infrastructure that keeps it up at 3 a.m.
I co-founded Applied AI, where I lead commercial AI deployments as CEO, and I've run Otherland Labs since 2017, delivering AI and engineering work for enterprise clients and government organizations. Before that: speech-to-text at Wasabi, media ML at GrayMeta, nationwide-scale ETL at DIRECTV.
Multi-brand form administration with AI image-authenticity verification for a major Polish food & beverage group — three independent checks per submitted photo. Designed, built, and deployed end to end at Applied AI.
read the case study →A city guide you talk to — conversational discovery, camera-based landmark search, and a map built for wandering, grounded in curated open data. iOS first.
about the project →AI engineering company I run with my brother. From infrastructure to intelligence: cloud-native deployments, Go services, custom ML — the full stack, so AI works in production.
appliedai.dev ↗A 4-node K3s cluster spanning home and office over a private mesh — GPU workstation serving self-hosted LLMs, embeddings, speech-to-text, and OCR. My personal AI stack runs on hardware I can touch.
k3s · self-hosted inferenceLLM customer-service agents, production RAG pipelines with vector search for enterprise knowledge bases, SaaS NLP products, LLM fine-tuning, and computer-vision quality control. Building the company alongside the systems.
Optimized multilingual speech-to-text — +30% accuracy, +50% inference speed. Built diarization and LLM summarization pipelines; deployed Gemini, PaliGemma, and Phi-3 for automatic Q&A. Led CV projects: object recognition, OCR, brand detection.
Machine-learning algorithms and Go-based media processing at enterprise scale.
Designed and optimized large-scale ETL in Go, deployed across the nationwide U.S. market.
Microservices Go backend end-to-end; application architecture strategy and development guidelines.
AI/ML and engineering delivery for AT&T/DIRECTV, NBC Universal, and government organizations. Full-stack AI products and Go microservice backends for B2B clients across US and EU markets.
Web and backend work for clients worldwide — JavaScript, Angular, Go.
I'm open to interesting AI engineering problems — through Applied AI for company engagements, or directly.