Ignacy Wielogórski

Cloud-Native Architect + AI Engineer

I’m Ignacy Wielogórski — a software engineer and Data Science student at TU/e. I specialize in architecting high-performance, cloud-native systems that bridge the gap between theoretical models and production infrastructure.

My experience spans from Silicon Valley to European enterprise. Selected as one of three engineers from a 97-person cohort at a Y Combinator logoCombinator AI startup, I built infrastructure pivotal to a $3.4M raise. I now consult on enterprise logistics and ESG platforms, deploying strict three-layer architectures using Next.js 15 and K3s.

From shipping autonomous procurement agents in hackathons to being selected as an incoming intern at ASML, I focus on building scalable, type-safe solutions that solve real-world industrial optimization problems.

    Resume
    Open for Work!

    Experience

    Incoming Computer Science Intern
    ASML Holding N.V.
    Feb 2026 - Aug 2026
    Lead Software Engineer (Contract)
    Independent Consultant (B2B)
    2025
    Software Engineer
    RevisionDojo (YC F24)
    2024 - 2025

    Extracurriculars

    Biomodelling Team Member
    iGEM TU/e (International Genetically Engineered Machine)
    Jan 2026 - Present
    Head of Technology
    Global Polish Student Society (GPSS)
    2025 - Present
    Participant
    ElevenLabs Project Europe Hackathon
    Dec 2025

    Education

    BSc Data Science
    Eindhoven University of Technology (TU/e) & Tilburg University
    Sep 2025 - Present

    Selected Projects

    MyCard: Digital Identity Platform

    Architected a self-sovereign identity platform integrating

    NFC hardware

    and

    OSINT data aggregation

    , scaling to

    2,500+ users

    and 10k unique visitors.

    DronePass

    Bootstrapped a niche SaaS for digitizing

    EASA drone licenses

    into cryptographically signed

    Apple Wallet passes

    , gaining

    500+ paying users

    .

    IDU Mobile App

    Reverse-engineered the legacy LMS of the Bednarska School Group, building a

    mobile-first SwiftUI client

    that scraped data locally (

    SSR scraping

    ) to bypass the lack of public APIs.

    Proficient In

    Languages

    JavaScriptTypescriptRustGoPythonSQL (Postgres)JavaSwiftHTML/CSS

    Technologies

    ReactNode.jsExpress.jsNext.jsTailwindCSSFlaskSwiftUIAWSCloudflare WorkersDockerKubernetesHelm

    Data Science

    PandasNumPySciPyScikit-learnPyTorchOpenCVMatplotlibSeabornJupyterStreamlit

    Data Engineering

    Pinecone (Vector DB)LangChain

    Connect

    Feel free to contact me at [email protected]