Enkaris
Financial analytics SaaS that I design, build and run on my own. It has paying customers, and every decision is mine: from the data model to payments and deployment.
Visit EnkarisI build web applications. Lately, I've been teaching software to see and act.
Most of my work is full-stack: React and TypeScript on the front end, Node.js and Python on the back end, PostgreSQL underneath. Over the last 4 years I've built web and mobile applications for logistics and finance, and my own analytics SaaS, which now has paying customers.
In my own time I build with computer vision and AI agents: software that looks at an image, works out what's in it and decides what to do next. I'm learning in public, so the projects and posts here show what worked and what didn't.
Before software, I studied Automation & Robotics at Wrocław University of Science and Technology, then designed control systems and programmed industrial machines. That work taught me to plan for failure before it happens. My MSc in Computer Science with an AI specialization, with a thesis on evaluating forecasting algorithms, shaped how I approach models today: I want numbers before I trust them.
Based in Warsaw, Poland
Now building
Spatial Maintenance Copilot
OpenCV AI Competition 2026 · AWS compute grant recipient, one of 55 teams selected from 1,500+ submissions. Winners announced November 10, 2026.
Follow the build on the blogWhat I work on
Full-stack development
Systems that run real operations: fleet and route management for a logistics company with over 100 vehicles, a multi-seller marketplace with escrow payments, blockchain systems for asset tokenization and settlement, and an enterprise low-code platform deployed at Tesco and Virgin Media. I've built greenfield products from scratch and modernized codebases with years of history.
Vision systems and AI agents
I'm early in AI engineering and treat it as an engineering discipline, not a hobby. I combine structured courses with projects slightly beyond what I already know, finish them, and write up what worked and what didn't. The question that drives me: where modern AI genuinely earns its place in a real system, and where plain code is still the better tool.
Tech stack
01
Frontend & Mobile
- TypeScript
- React
- Next.js
- TanStack Query
- Zustand
- Tailwind CSS
- shadcn/ui
- Zod
- Flutter
02
Backend
- Node.js
- NestJS
- FastAPI
- PostgreSQL
- Redis
- Stripe
03
Cloud & Testing
- Docker
- AWS (Fargate, S3)
- Vercel
- Turborepo
- Vitest
- Playwright
04
AI & Vision
- Python
- PyTorch
- OpenCV 5
- Hugging Face
- LangGraph
- OpenAI & Anthropic APIs
- RAG & vector search
Background
- 2020–2022
MSc, Computer Science
Academy of Technology and Applied Computer Science
Thesis: Analysis of the quality of solutions generated by selected time series forecasting algorithms
A comparison of linear regression, polynomial regression and neural networks on financial time series.
- 2015–2019
BEng, Automation and Robotics
Wrocław University of Science and Technology
Thesis: Programming a virtual production line with a robotic arm using a Lenze PLC
- Certificates
VLM Bootcamp
OpenCV Bootcamp
OpenCV University
AI Agents Fundamentals
LLM Course: Fine-tuning
Hugging Face
CS50P
Harvard
Contact
Open to frontend, full-stack and AI engineering roles. B2B, Warsaw or remote.
lukols.dev@gmail.com