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Bio
Full Stack Software Developer specializing in AI, with strong system thinking, creativity, and fast learning abilities. Experienced in backend, frontend, algorithms, and data, focusing on clean code, performance, and refined UX.
Skills
Python
C++
TypeScript
PostgreSQL
MinIO
Docker
FastAPI
WebSockets
CUDA
PyTorch
PyQT6
Bootcamp Project
A complete classical + deep-learning denoising system for SEM images
Mentored by: Applied Materials
Mentors:
Data Science Bootcamp 2025 (Data)
Responsibilities:
Research and plan SEM image denoising methods (classical & deep learning)
Benchmark multiprocessing performance for image inference
Analyze thresholds for parallel execution & implement conditional parallelism
Implement Stop/Resume and Incremental Evaluation features
Update Model Table in GUI for improved user interaction
Investigate theory and applicability of chosen algorithm
Update GUI according to approved presentation designs
Design and plan GUI layout and visual style
Create Python function timing decorator with logging
Add option to upload entire folders of images
Additional Projects
ETTime - Remote Work Monitoring System - KamaTech
- Desktop app for productivity tracking: idle time, site/app monitoring, screenshots.
- Google Calendar integration and automated reports.
- Built with PyQt6 (Windows + Ubuntu).
- SQLite + SQL Server storage, PyTest testing.
Optimal Matching Web System - Final Project
- Improved Hungarian Algorithm for smart matching.
- C# API with Clean Architecture & JWT.
- Documented via Swagger Hub.
Chef4U - Private Chef Booking Platform
- Menus, orders, ratings, and chef/user profiles with uploads.
- Real-time messaging and notifications.
English Level
Working Proficiency