Software Engineer for backend, full-stack & AI-enabled products.

Campsites and resorts price rooms and pitches mostly by intuition, leaving revenue on the table during peak windows and overpricing during slow ones. Goal: a data-driven decision-support tool that recommends prices from historical bookings, seasonality, and competitor signals.

• →Built an ETL pipeline over historical bookings using pandas / dask for feature engineering
• →Trained baseline regression and gradient-boosted models with scikit-learn, evaluated against a heuristic benchmark
• →Designed a Dash/AnyChart visualization layer so domain experts can challenge recommendations, not just consume them

The company lacked a centralized system to manage and update configurations for their grain measuring devices. Configuration changes were handled manually across multiple systems, leading to inconsistencies, slow rollout times, and a high risk of errors in production devices.

• →Developed backend features using Java 21 and Spring Boot, ensuring reliable APIs for device configuration management
• →Contributed to Angular frontend components and RxJS flows to support cross-functional delivery
• →Collaborated closely with senior engineers, QA, and product owner in a team of 8 to align on requirements and best practices
• →Worked in a two-week Scrum cadence with regular planning and retrospective meetings

A high-security, high-availability legacy system needed to be modernized without breaking the contracts existing services depended on. The team had to maintain functionality bit-for-bit while improving the runtime characteristics.

• →Rewrote the backend in Spring Boot, reusing trusted legacy services behind a clean boundary
• →Mapped existing behavior into integration tests before any rewrite to prevent silent regressions
• →Tightened request handling and persistence to improve response times under load

The team needed a simple but production-ready time-tracking tool for internal use, with secure authentication and a responsive user experience for daily logging.

• →Built backend features using Laravel and PHP for time tracking and user management
• →Developed Vue.js components with TypeScript to create a responsive and user-friendly interface
• →Implemented OAuth 2.0 authentication for secure access
• →Collaborated in a team of 5 developers during a 2-month internship

The company relied on manual collection of competitor and market data, which was time-consuming, repetitive, and prone to human error.

• →Developed PHP-based scripts and Laravel APIs to automate data collection workflows
• →Built web-scraping solutions to gather structured data from external sources
• →Created Vue.js components and added UI animations to improve usability for non-technical users
• →Worked on multiple client-facing projects during a 4-month internship

Accelerate practical backend development skills and gain hands-on experience with modern frameworks and object-oriented programming.

• →Completed a 2-week intensive course covering OOP, Spring Boot, and Hibernate (2021)
• →Attended additional .NET and C# training sessions across 4 occasions (2022)
• →Built small practice applications to reinforce backend concepts and architecture patterns