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Dr. János Karancsi

Dr. János Karancsi

AI Engineer · Cloud Backend Developer · PhD Physicist (CERN / CMS)

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Summary

Senior Software Engineer and PhD physicist: a decade at CERN on the CMS Experiment, then five years building AWS-native backend microservices at global scale. Over the past year I have specialised in AI-augmented engineering - designing an agentic knowledge base used across ~50 repositories that lets coding agents plan and execute senior-level work. I pair rare analytical depth (physics PhD, distributed computing at petabyte scale) with production cloud engineering and hands-on LLM/agent systems. Co-contributor to the 2025 Breakthrough Prize in Fundamental Physics. Available for remote-first Senior Engineer, Cloud Architect, and AI Engineering roles with international scope.

Experience

Senior Software Developer

Jan 2025 – present

RDI Software Hungary (Capgemini Group) · Debrecen, Hungary (remote/hybrid)

  • Deliver AWS-native backend microservices for a global client's digital infrastructure within event-driven, CQRS-based distributed systems.
  • Pioneered a structured agentic AI development framework across ~50 repositories (AGENTS.md methodology), enabling coding agents to autonomously plan and execute senior-level tasks; estimated 2-3x personal delivery throughput.
  • Co-developing a company-wide AI adoption strategy with senior leadership (in progress): LLM tooling standards, prompt-engineering practices, and knowledge-base governance.

Software Developer (Mid-Level)

Jul 2022 – Mar 2025

RDI Software Hungary (Capgemini Group) · Debrecen, Hungary

  • Designed and developed C# .NET backend microservices and AWS Lambda functions for a client digital platform handling millions of customer transactions daily across international markets.
  • Integrated DynamoDB, SQS, and Redis into microservice backends supporting low-latency, high-availability access under sustained production traffic.

Junior Software Developer

Aug 2021 – Jun 2022

RDI Software Hungary (Capgemini Group) · Debrecen, Hungary

  • Transitioned from 10+ years of scientific C++/Python into commercial C# .NET, reaching production-ready quality within the first month.

PhD Research Associate (permanent); Leader, Particle Physics Group

Nov 2019 – Aug 2021

MTA Atomki (Hungarian Academy of Sciences, Institute for Nuclear Research) · Debrecen, Hungary

  • Appointed to a permanent, merit-based Research Associate position on PhD completion.
  • Appointed Leader of the Particle Physics Group at MTA Atomki (July 2020).

Research Assistant

Oct 2013 – Nov 2019

MTA Atomki (Hungarian Academy of Sciences, Institute for Nuclear Research) · Debrecen, Hungary

  • Level 3 Coordinator of the CMS Pixel Detector Offline Reconstruction & Calibration working group for 4 consecutive years, coordinating physicists across multiple international institutions; declined the L2 offer to finish the PhD. Recognised by the 2012 CMS Achievement Award for pixel-detector performance measurements and calibration.
  • Measured the lepton (electron and muon) efficiencies for a single-lepton Supersymmetry search (2012 LHC data) that set world-best exclusion limits at publication.

Education

PhD, Physics

University of Debrecen · Experimental particle physics

2010–2019

BSc + MSc (integrated), Physics

University of Leeds · Physics

2006–2010

Certifications

  • Big Data and Machine Learning Fundamentals — Google Cloud2025
  • Cloud Digital Leader — Google2025
  • Test-Driven Development — LearnQuest2021

Skills

LLM & agentic systems
Agentic knowledge-base design (AGENTS.md) · LLM orchestration & multi-agent workflows · Prompt & spec engineering for agents · GitHub Copilot (agentic use) · RAG & vector search · MCP server development
Machine learning & deep learning
PyTorch · Transformer internals · Model training engineering
Backend & cloud
Python · C# and .NET · AWS (Lambda, DynamoDB, SQS, EKS, ElastiCache) · Microservices architecture · CQRS & event-driven architecture · REST API design
DevOps & infrastructure
Kubernetes (EKS, Helm) · Docker & containerization · Terraform (IaC) · CI/CD pipelines (Jenkins)
Data & databases
Statistical analysis · Large-scale data analysis · SQL & databases
Physics & scientific computing
Distributed computing at scale · Scientific computing (ROOT, GEANT4) · C++ · Numerical methods & precision
Leadership & communication
Technical leadership & coordination · Technical communication & presentation · Mentoring

Publications

Co-author on 1,000+ peer-reviewed CMS publications; personal contributions in SUSY and Pixel work.

inspirehep.net/authors/1069992

Selected first-hand papers

Full publication list →