Available to hire
Hands-on MLOps and platform engineer with 9+ years delivering production ML systems, cloud infrastructure, and backend services, bridging research and engineering teams through practical, repeatable workflows.
I design scalable training and inference platforms from experimentation to secure deployment (including edge), and I lead teams with strong technical standards, tooling, evaluation harnesses, and reliable CI/CD and GPU workload orchestration.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
Beginner
Beginner
Language
Hungarian
Fluent
English
Advanced
Spanish; Castilian
Beginner
Korean
Beginner
Work Experience
MLOps Lead Engineer at Protex AI
March 1, 2026 - PresentLed hands-on development of cloud MLOps pipelines automating training for advanced computer-vision models. Owned end-to-end model experimentation and productionization workflows for secure edge deployment, aligning research, platform, and delivery needs. Designed and maintained enterprise cloud and platform infrastructure across the MLOps lifecycle, strengthening software development methodology and driving agile/DevOps adoption across engineering teams.
Technical Team Lead at SolvencyAnalytics
March 1, 2022 - December 1, 2025Led 2–5 engineers building an enterprise cloud reporting ecosystem. Set engineering standards, hired and mentored engineers across levels. Architected AWS infrastructure using Infrastructure as Code, Kubernetes, Airflow, and a 15+ service microservices backend. Built concurrent regulatory-reporting pipelines processing 10+ daily and 100+ monthly heavy reports, increasing analyst capacity ~5x with flat timelines and removing on-prem dependencies. Designed a compliant central data lake with lineage, traceability, and reproducibility. Improved onboarding from weeks to days via CI/CD, automated tests, and reusable pipeline components. Achieved zero SLA breaches and 100% uptime through migration, scaling, and reliability practices.
Technical Team Lead - Cloud & Platform Engineering at SolvencyAnalytics
March 1, 2022 - PresentLed a 2–5 engineer team to design and deliver a cloud reporting ecosystem on AWS, including infrastructure-as-code, a Kubernetes platform with Airflow orchestration, and 15+ microservices spanning backend, integration, and frontend.
Introduced concurrent execution for 10+ daily and 100+ monthly regulatory reports, increasing reporting capacity 5x while keeping reporting time constant and removing on-prem hardware dependency. Built a central data lake for traceability, reproducibility, and regulatory compliance. Reduced report onboarding from weeks to days via CI/CD, automated testing, and reusable pipeline components. Maintained 100% platform uptime with zero SLA breaches throughout migration and scale-up, while establishing engineering standards, mentoring engineers, and participating in hiring.
Senior Software Engineer (Principal Architect / Backend Developer) at SolvencyAnalytics
January 1, 2021 - March 1, 2022Served as principal architect and core backend developer for a microservices-based regulatory reporting platform. Standardized integration protocols and optimized database operations, reducing average service latency by 40%.
Senior Software Engineer at SolvencyAnalytics
January 1, 2021 - March 1, 2022Worked on the design, development, and scale-up of cloud-native reporting and platform components, contributing to the migration away from on-prem dependencies and improving CI/CD automation, testing, and pipeline reuse.
Software Developer, AI Platform at Emarsys
December 1, 2019 - January 1, 2021Developed a GCP-based AI platform for automated model training and real-time inference powering hyper-personalized marketing. Built high-throughput batch and streaming pipelines handling terabytes of client marketing data. Shipped backend modules for an image-classification recommendation engine supporting millions of campaign emails per day. Orchestrated NLP and computer-vision workloads to remain responsive during peak seasonal traffic.
Software Developer (AI Platform) at Emarsys
December 1, 2019 - January 1, 2021Built production pipelines for ML training, data processing, and model serving on GCP. Delivered production components for an AI-driven image classification-based product recommendation engine for personalized marketing.
Implemented batch workflows handling terabytes of customer and marketing data. Integrated scalable training and inference for NLP and computer vision models, ensuring reliability during high campaign load periods.
Machine Learning Expert, Automated Driving at Continental
February 1, 2018 - December 1, 2019Designed multitask deep-learning models for object detection, lane detection, semantic segmentation, and monocular depth estimation. Evaluated against global benchmarks and integrated key models into automotive productization pipelines. Scaled synthetic datasets and integration harnesses with data/product stakeholders, achieving 90%+ GPU-cluster utilization via concurrent training pipelines.
Machine Learning Expert (Automated Driving) at Continental
February 1, 2018 - December 1, 2019Developed multitask neural network architectures and training protocols for perception models including object detection, semantic segmentation, depth prediction, and lane detection.
Evaluated models using public and internal benchmarks, with several models progressing toward advanced productization. Collaborated with data, infrastructure, and productization teams on dataset preparation, evaluation, and integration, and achieved 90%+ utilization of an in-house GPU cluster through concurrent training pipelines.
Vocational Trainee at SAP
February 1, 2017 - February 1, 2018Delivered an ML-based support ticket classification prototype using Python and early TensorFlow. Built a custom non-Euclidean embedding for ticket categories, achieving 90%+ top-3 accuracy for category classification.
Software Engineer Intern at Sotongfive
April 1, 2016 - June 1, 2016Developed interactive, cross-platform augmented-reality mobile features in Unity.
Software Engineer Intern at Sotongfive (Daegu, South Korea)
April 1, 2016 - June 1, 2016Built core framework components for an AR mobile application using Unity.
Intern at AutSoft
July 1, 2015 - August 1, 2015Implemented automated traffic-monitoring components using classical computer vision techniques.
Education
MSc, Business Informatics at Budapest University of Technology and Economics
January 1, 2019 - January 1, 2019BSc, Software Engineering at Budapest University of Technology and Economics
January 1, 2017 - January 1, 2017BSc, Computer Science (Double Degree) at Kyungpook National University
January 1, 2016 - January 1, 2016MSc in Business Informatics at Budapest University of Technology and Economics
January 1, 2019 - January 1, 2019BSc in Software Engineering at Budapest University of Technology and Economics
January 1, 2017 - January 1, 2017BSc in Computer Science (Double Degree) at Kyungpook National University, Daegu, South Korea
January 1, 2016 - January 1, 2016Qualifications
Industry Experience
Software & Internet, Financial Services, Education, Computers & Electronics, Healthcare, Professional Services, Manufacturing, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Beginner
Beginner
Beginner
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