Hi, I'm

Wojciech Władziński

Software Engineer · MSc Student, Autonomous Systems @ DTU

Software engineer with 2+ years at Dell Technologies building backend systems in C++, Python and Go, plus hands-on embedded and computer vision projects on the side. Now based in Copenhagen, studying Autonomous Systems at DTU — working at the intersection of software, robotics and deep learning.

Get in touch View projects

About

A bit about me

I spent just over two years as a Software Engineer at Dell Technologies in Warsaw, where I worked across the stack of a storage platform — from Go microservices and Angular micro-frontends to C++ components of the core storage system, with Docker/Kubernetes deployments and Python automation tying it together. Outside of work I kept building: a real-time stereo-camera depth estimation rig on ESP32 and OpenCV, and a Go-based price-tracking platform with an LLM-powered scraping pipeline.

I'm currently pursuing an MSc in Autonomous Systems at DTU Copenhagen, having relocated from Warsaw. My interests sit at the intersection of software engineering, backend systems, computer vision, deep learning and robotics — I like problems that combine solid software foundations with physical hardware.

LocationCopenhagen, Denmark
CurrentlyMSc, Autonomous Systems — DTU
LanguagesPolish (native), English (proficient)
InterestsEmbedded systems, physics, sport, snowboarding

Skills

Tools I work with

Languages

C/C++
Python
Go
Java
Kotlin

Backend & Infra

Docker
Kubernetes
GCP
Jenkins
GitHub Actions
Ansible
FastAPI

Data

PostgreSQL
NoSQL

ML / DL / CV

PyTorch
scikit-learn
MLflow
OpenCV

Mobile & Frontend

Flutter
Angular

LLM Tooling & Agentic Workflows

Claude Code
MCP servers
Custom skills

Other

Linux (Ubuntu, Fedora)
Bash
Git
TCP/IP

Experience

Where I've worked

Software Engineer

Apr 2024 – Aug 2026

Dell Technologies · Warsaw, Poland

Software Engineer II · Apr 2026 – Aug 2026

Worked on core components of a high-performance storage system in C++.
Developed automated tests in Python to ensure system stability and performance.

Software Engineer · Apr 2024 – Apr 2026

Designed and implemented microservices in Go and developed micro-frontend applications with Angular.
Orchestrated application deployments with Docker and Kubernetes, maintaining stability and high availability of team infrastructure.
Automated Kubernetes cluster management by building a dedicated toolset and repository in Python.
Led a system migration from Java 8 to Java 17, preserving full backward compatibility while improving performance.

Technical Assistant

Feb 2023 – Jul 2023

European Center of Initiatives in Forensic Sciences Foundation · Warsaw, Poland

Performed technical maintenance and ensured operational reliability of advanced simulation systems.
Delivered technical presentations and briefings on simulator architecture and operational logic.

Programming Tutor

2022 – 2024

Self-employed · Warsaw, Poland

Conducted individual sessions supporting students with exam preparation and coursework.
Simplified complex technical concepts and algorithmic logic for diverse audiences.

Education

Academic background

In progress

MSc in Autonomous Systems

Technical University of Denmark (DTU) · Copenhagen, Denmark

Sep 2026 – Jun 2028 (expected)

BSc in Computer Science

Polish-Japanese Academy of Information Technology · Warsaw, Poland

Oct 2022 – Feb 2026 · Major: Mobile Networks, IoT

High School

IX LO im. Klementyny Hoffmanowej · Warsaw, Poland

2019 – 2022 · Major: Mathematics, Physics, Computer Science

Projects

Selected work

Stereo-Camera System for Depth Estimation

Dual ESP32-Cam rig with a high-precision synchronization system for accurate distance measurement and spatial mapping. Built an intrinsic and stereo camera calibration pipeline in OpenCV, real-time control algorithms for a rotation mechanism enabling autonomous object tracking, and a WebSocket-based protocol for real-time data transfer between devices.

Price Scraper

Scalable Go platform that tracks product prices on a schedule: register a product and a frequency, and an orchestrator polls Postgres-backed job queues, scrapes results with the Rod library, and uses an LLM to extract structured price data, with optional Discord webhook notifications. Services communicate over gRPC and REST, containerized with Docker and deployed via Docker Compose to a self-managed VPS.

Private repo

Dance Class Finder App

Mobile app that helps users discover and browse dance classes across Warsaw. Built the cross-platform frontend in Flutter with a Supabase backend (PostgreSQL, authentication, storage), using an AI-assisted workflow with Claude Code, custom skills and MCP servers to speed up development and testing.

Perception for Autonomous Systems

DTU coursework covering perception pipelines for autonomous systems — sensor processing and state estimation exercises, part of the MSc in Autonomous Systems programme.

Introduction to Deep Learning in Computer Vision

DTU coursework exploring deep learning approaches to computer vision, building up from classical CNN architectures toward modern vision models.

Music Genre Clustering

Unsupervised ML pipeline that clusters tracks by genre from audio features, built with scikit-learn and PyCaret with Optuna for hyperparameter tuning. Served as a FastAPI endpoint, containerized with Docker, with DVC for data versioning and Ansible for deployment.

Let's talk

Open to software engineering, backend, and computer-vision / robotics opportunities, as well as interesting collaborations.

Emailwojtekwladzinski2003@gmail.com

Phone+48 536 709 098

GitHubgithub.com/WojtekWla

LinkedInin/wojciech-władziński

LocationCopenhagen, Denmark