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Philippines
3+ years of experience
Full Stack Software Developer with 3 years of experience specializing in high-performance Java backend systems and modern frontend technologies. I excel at architecting and optimizing both new and legacy codebases, with a proven track record in delivering significant performance improvements through algorithm optimization and refactoring. My expertise spans the entire stack, encompassing Java EE, Spring, and relational databases on the backend, complemented by strong frontend skills in React, Vue, and JavaScript ES6. I am driven by solving complex mathematical, computational, and logical challenges. Additionally, I actively leverage AI coding tools and agents in my hobby projects (e.g., Gemini, Claude, Cursor, Windsurf, Trae) to accelerate development, enhance problem-solving, and foster a more efficient, AI-powered development workflow.

Access Jobs revolutionizes job searching by using AI to connect job seekers with relevant opportunities. Our platform solves the inefficiency where candidates waste time browsing irrelevant listings while employers struggle to find qualified talent. The system features intelligent resume parsing powered by Novita AI, automatically extracting skills, experience, and education. Our recommendation engine analyzes this data to generate personalized job suggestions with detailed explanations for each match. What sets Access Jobs apart is explainable AI - instead of black-box recommendations, we show clear reasoning including skill alignment percentages, experience relevance, and learning opportunities. This transparency helps users make informed career decisions. Key features include skills gap analysis identifying missing qualifications with targeted learning paths, real-time application tracking, job bookmarking, and AI-powered career guidance. Job seekers get personalized alerts and detailed match analytics. For administrators, we built a comprehensive dashboard with user management, job posting controls, advanced analytics with interactive charts, and system performance monitoring. The platform includes role-based access control for security. Built with React TypeScript frontend, Django REST API backend, and Tailwind CSS for responsive design, demonstrating enterprise scalability. Our implementation includes 50+ mock users, 100+ job listings, and 200+ applications showcasing full functionality. Future plans include real ML model training, email notifications, video interviewing, and LinkedIn/GitHub integrations, positioning Access Jobs as a comprehensive career platform that transforms job matching through transparent AI recommendations.
15 Jun 2025