I'm a results-driven Senior Java Developer with a strong background in diagnosing and remediating complex technical challenges to significantly enhance system efficiency and business operations. My expertise spans Enterprise Spring Boot, modern CI/CD methodologies, and strategic AI integration, consistently delivering robust and innovative software solutions. I'm passionate about building high-performance systems and contributing to impactful projects. Beyond coding, I enjoy engaging in communication and public engagement through performing stand-up comedy and close-up magic, which has helped hone my public speaking, improvisation, and interpersonal skills. I'm also active in rock climbing (bouldering, lead, top rope) and scuba diving.

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• Main Languages: Java, Scala, Kotlin
• Used Languages: Python, JavaScript, Rust, Lua, Bash
• Frameworks & Libraries: Spring Boot, React, HTMX, Hibernate/JPA, Thymeleaf, RabbitMQ
• Databases: PostgreSQL, SQLite, SQL
• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD (Github CI, GitLab CI, Jenkins), Linux, SonarQube
• Tools & Methodologies: Git, RESTful APIs, Agile/Scrum, Clean Code, Design Patterns, Grafana, Redis

Here are some of my key personal projects that demonstrate my diverse technical interests and capabilities:

An AI-powered web application designed to revolutionize job search and recruitment. It provides intelligent matching between candidates and roles, performs detailed CV analysis to extract skills and qualifications, and offers comprehensive career insights based on customizable criteria. The platform includes a credit system for premium features and robust user management. Architecturally, it's built with Spring Boot 3.5.0 and leverages Java 21 Virtual Threads for high concurrency, following a Hexagonal (Ports and Adapters) pattern for modularity. It uses PostgreSQL for persistence, Spring Security for authentication, and HTMX/Thymeleaf for a dynamic UI, all supported by a full CI/CD pipeline for deployment to AWS.

An engaging daily word transformation game developed using React. The objective is to transform a starting word into a target word within five steps, requiring anagrams and single-letter changes at each step. This project showcases full-stack development capabilities with a strong emphasis on complex algorithmic design and data pre-processing. The core innovation lies in its intelligent word pair selection and pathfinding, pre-computed offline using Java and Python. This involves efficient anagram and single-letter change detection using binary encoding and Hamming distance, an optimized pathfinding algorithm with iterative traversal and pruning, and difficulty grouping based on the number of valid sequences. Additionally, Python with spaCy and GloVe word embeddings is used for semantic similarity to curate thematically linked word pairs. All pre-calculated data is integrated statically into the React frontend for a lightweight and performant user experience. The site supports English, Indonesian, and Ukrainian languages and attracts around 120 unique visitors per month.

A cross-platform TUI (Terminal User Interface) tool built with Rust, designed for quick and efficient internet searches directly from the terminal, ideal for environments without browser access. is-fast allows users to search the web, navigate results, and view content seamlessly, featuring customizable TOML-based configuration for styling, content extraction via CSS selectors, and syntax highlighting. It supports direct URL and local HTML file viewing, enables outputting processed content to standard output for scripting, and includes an optional local SQLite database for search history and a configurable caching system for faster revisits. With support for DuckDuckGo, Google Custom Search, and Kagi, it's distributed via Homebrew, curl, and Cargo, maintaining continuous updates through a CI/CD pipeline, and has garnered 136 stars on GitHub, along with 6 forks and 3 external pull requests.