AI-Assisted Software Engineer

Designed and developed a multi-tenant SaaS platform for healthcare and business management using Python, Django, PostgreSQL, JavaScript, and Bootstrap.

Automated clinical and administrative workflows through business rules, workflow automation, intelligent validation, and data processing. Integrated LLMs, prompt engineering, AI APIs, retrieval-augmented generation, embeddings, and semantic search to support documentation, knowledge retrieval, and AI-powered business processes.

Built scalable architecture for intelligent assistants, semantic search, document processing, and enterprise automation, while managing the full development lifecycle from analysis and implementation to testing, documentation, version control, and continuous improvement.

Developed, maintained, and enhanced internal business applications using VB.NET and SQL Server, supporting clinical, administrative, and operational workflows.

Designed SQL queries, reports, and database improvements to increase data quality, availability, and business decision-making. Collaborated with clinical and administrative teams to translate operational requirements into reliable software solutions.

Contributed to digital transformation initiatives by automating manual processes, improving operational efficiency, and providing user training, technical support, and change management assistance.

Comprehensive education in software engineering, databases, systems analysis, software architecture, and project management. Strengthened analytical thinking and practical skills for designing enterprise software solutions.

Technical education focused on software development, programming fundamentals, database design, algorithms, and systems analysis, providing a solid foundation for enterprise application development.