Software Engineer @ Amazon AWS specializing in High-Performance Computing, Machine Learning, and Distributed Systems.

• 1st Place Best Thesis (2024) - Sponsored by SoftServe
• B.Sc. Computer Science - Babeș-Bolyai University (GPA: 9.23/10)

• 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 (Voluntary)

• 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) - 🥇 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

DataVo-DBMS

• Native C# Relational Database Engine built from scratch.
• Features an AST-first execution pipeline and a proprietary B+Tree storage engine with direct kernel-space I/O.
• Supports full JOIN semantics (INNER, LEFT, CROSS) and SIMD hardware intrinsics for vector access patterns.

x86-assembly-io-library

• Pure NASM x86 Assembly library for integer and binary I/O without standard libraries.
• Implements manual 64-bit integer processing on a 32-bit architecture using EDX:EAX register pairs and CF error mapping.

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
• 2⭐ 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: 🌐 Profile

• 🥇 1st Place Best Thesis - Semantic Image Synthesis for Autonomous Driving (2024, SoftServe)
• 🥈 5th Place - Sapientia ECN Programming Competition (2022)
• 🥉 6th Place - Nemes Tihamér International Finals
• 🎓 Valedictorian Candidate - GPA 9.23/10 (Data Structures: 10, OS: 10, Distributed Systems: 9)

• 🇭🇺 Hungarian (Native)
• 🇬🇧 English (C1/C2)
• 🇷🇴 Romanian (Fluent)
• 🇩🇪 German (Basic)
• 🇫🇷 French (Basic)