Software Engineer @ Amazon AWS specializing in High-Performance Computing, Machine Learning, and Distributed Systems. Currently optimizing large-scale infrastructure in Paris, achieving 7,161x performance gains through database and runtime optimization.
- 1st Place Best Thesis (2024) - Sponsored by SoftServe
- B.Sc. Computer Science - BabeΘ-Bolyai University (GPA: 9.23/10)
- Research Collaborator - University of Hamburg (Federated Learning for Medical AI)
- Performance Engineering & JVM Optimization (AWS Infrastructure)
- SIMD Optimization & Low-Level Performance (ARM NEON, Multithreading)
- Federated Learning & Privacy-Preserving AI
- Generative AI (Latent Diffusion Models)
- Computer Vision & Autonomous Driving
- Algorithm Design & Competitive Programming
Amazon AWS (09/2024 - Present) - Software Development Engineer
- Optimized critical infrastructure components achieving multi-thousand-fold query performance improvements
- Eliminated garbage collection bottlenecks, significantly reducing tail latency for high-throughput services
- Resolved database query inefficiencies through index optimization and query restructuring
- Implemented connection pooling strategies for improved resource utilization
- Designed modernization strategies for legacy enterprise systems
Egnosis (04/2022 - 09/2024) - Software Engineer
- Implemented optimization algorithms for manufacturing resource allocation problems using C++
- Built scalable ML data pipelines for high-volume real-time data processing with Elasticsearch
- Deployed Computer Vision models for automated classification tasks with optimized inference
- Architected services for distributed data ingestion and processing
University of Hamburg (10/2023 - 04/2025) - Research Collaborator
- Federated Latent Diffusion Models for Breast Cancer diagnostic image synthesis
- Privacy-preserving distributed training architecture (hospital data silos)
- Empirical analysis of synthetic data augmentation on federated model performance
Bachelor's Thesis (05/2024 - 07/2024) - π₯ 1st Place Best Thesis
- Semantic Image Synthesis for Autonomous Driving using Latent Diffusion Models
- Built photorealistic street scene generation from semantic segmentation maps
- Addressed data scarcity in autonomous vehicle perception systems
Machine Learning & Performance (Machine-Learning)
- SIMD-optimized image processing with ARM NEON intrinsics (Gaussian blur, grayscale)
- Multithreaded image processing with barrier synchronization
- SISD vs SIMD benchmarking with Python/OpenCV comparisons
- LibTorch C++ implementations with MPS/CUDA support
- Linear regression with GPU acceleration
Algorithms & Competitive Programming (cpp-algorithms-2022)
- Comprehensive C++ algorithm implementations: sorting, backtracking, dynamic programming, graph theory
- 50+ lab exercises and exam problem solutions
- Advanced data structures and algorithmic techniques
- Competitive programming contest solutions
Full-Stack Web Application (BioLegume)
- C# .NET backend with RESTful API design
- TypeScript/JavaScript frontend with modern frameworks
- Docker containerization and CI/CD with CircleCI
- PostgreSQL database with complex queries
- Microservices architecture
Mobile E-Commerce App (My-Instrument)
- Flutter/Dart cross-platform mobile application (iOS & Android)
- Marketplace for new and used musical instruments
- Complex filtering and categorization system
- Real-time inventory management
- 2β on GitHub
Current Development - Advanced Marketplace Platform
- Domain-Driven Design (DDD) and Hexagonal Architecture
- CQRS Backend pattern
- Modular backend ensuring testability and maintainability
Work Profile: π Profile
- π₯ 1st Place Best Thesis - Semantic Image Synthesis for Autonomous Driving (2024, SoftServe)
- π₯ 5th Place - Sapientia ECN Programming Competition (2022)
- π₯ 6th Place - Nemes TihamΓ©r International Finals
- π Valedictorian Candidate - GPA 9.23/10 (Data Structures: 10, OS: 10, Distributed Systems: 9)
- ππΊ Hungarian (Native)
- π¬π§ English (C1/C2)
- π·π΄ Romanian (Fluent)
- π©πͺ German (Basic)
- π«π· French (Basic)