Levente Lukács

Data Professional

Open to data science, AI engineering, and data engineering roles.

About

Data professional with 4+ years across data engineering, analytics and advisory at smec, RHI Magnesita and KPMG. I build reliable pipelines in Python and SQL, and I’m now applying them to AI: an MSc in Responsible AI Systems and a live, evaluated LLM agent for Budapest transit.

Projects

Bilingual (HU/EN) AI assistant and open-data analytics site for Budapest public transport, built solo and self-hosted.

  • Built a tool-calling LLM agent on the live BKK API with hybrid RAG (pgvector + full-text, RRF).
  • Evaluated 7 models on a held-out set with two LLM judges; 26/26 correct tool calls at $0.001 per query.
  • Built a GTFS-RT pipeline processing 800k events a day into a nightly punctuality report.

– present

Experience

  1. MSc student at IMC Krems, building Budapest Transit Copilot

    Now MSc since

  2. Backend Engineer / Data Engineer

    Smarter Ecommerce (smec) Vienna, Austria

    • Onboarded data for approximately 100 clients to Google Cloud from various sources, improving efficiency by up to 42%; supported 200+ clients as the contact between client-facing and product teams.
    • Served as technical lead on 5 critical, high-revenue client accounts.
    • Collaborated on the planning and execution of customer-specific software projects, engineering data pipelines using the BigQuery API to process customer data and ensure high data quality.
    • Developed in-house software platform, focusing on the integration of GCP client data.

    – 2 yrs 1 mo

  3. Data Analyst

    RHI Magnesita Vienna, Austria

    • Designed and automated data pipelines using SQL and Power Automate, reducing report generation times by 30%.
    • Enhanced data quality and reliability across enterprise dashboards through schema standardization and KPI validation.
    • Partnered with the Data Science team to optimize data access for predictive modeling and performance analytics.

    – 1 yr

  4. IT Advisor

    KPMG Budapest, Hungary

    • Contributed to the data warehouse integration during a three-bank merger, ensuring ETL consistency and regulatory compliance (Oracle DWH, cloud testing).
    • Delivered automated data validation reports and KPI dashboards supporting BCBS239-related reporting activities.

    – 1 yr 3 mos

  5. SDET

    GRAPHISOFT SE Budapest, Hungary

    • Developed automated testing frameworks to validate backend data integrity and API workflows in Linux environments.
    • Supported multiple QA and development teams in CI/CD environments with Git-based version control and continuous validation.

    – 9 mos

  6. Tutor

    Logiscool Budapest, Hungary

    • Taught programming fundamentals to students using visual and text-based coding environments (Python, Scratch).

    – 2 yrs 8 mos

Skills

Programming
Python, SQL, Java (Spring Boot), Groovy
Data & cloud
Google BigQuery, Google Cloud, PostgreSQL, MS SQL Server, Airflow, Dagster, Docker
AI & LLM
PyTorch, scikit-learn, NumPy, Ollama, LLM APIs, RAG with pgvector, tool-calling agents, LLM evaluation
Practices & tools
Test-driven development, database schema design, Git, GitLab, CI/CD, Jira, Confluence, Google Ads
Languages
Hungarian (native), English (C1), German (B2), Spanish (B2)

Education

MSc in Engineering Responsible AI Systems

IMC Krems Krems an der Donau, Austria

Part-time studies focused on AI architecture, cloud computing, machine learning, and Responsible AI principles.

– present

BSc in Technical Management

Óbuda University Budapest, Hungary

IT specialization focused on databases, computer networks, and applied statistics.

–

Erasmus semester, Business Administration and Management

Universidad Politécnica de Valencia Valencia, Spain

Exchange semester emphasizing business informatics, data analytics, and digital economy.

–

Studies in Computer Science

Eötvös Loránd University Budapest, Hungary

Algorithms, mathematics, and programming fundamentals.

–

Contact

cv@leventelukacs.me

Reach out by email; the full CV is available as a PDF.