I am a Software Engineer who bridges the gap between scalable backend architecture and artificial intelligence. I specialize in building robust, production-ready systems and integrating machine learning models to solve complex, real-world problems.
With a background spanning full-stack enterprise platforms and AI research, I thrive in environments where I can architect secure databases and deploy intelligent features.
- Software Engineering: Architecting secure, multi-tenant backend systems for enterprise and healthcare platforms using Next.js, Laravel, PostgreSQL, and Supabase.
- AI Integration: Implementing and optimizing computer vision models (YOLO architectures) and exploring multimodal LLMs for practical software applications.
- System Reliability: Designing formal verification tools using SMT solvers to ensure microservice orchestration correctness.
- Enterprise Med-Tech: Engineered the core backend for a Medical ERP platform, implementing strict Row Level Security (RLS) for multi-tenant data isolation.
- AI-Powered mHealth: Developed a comprehensive health application utilizing YOLOv8 to analyze food images and estimate real-time nutritional content.
- HelioVerify: Created a formal verification tool based on Satisfiability Modulo Theories (SMT) for analyzing microservice choreographies.
- AI Research & Optimization: Published research on prefetching cache optimization utilizing Graph Neural Networks (GNNs).
| Category | Technologies |
|---|---|
| Backend & Frontend | Node.js, Next.js, Laravel, TypeScript, JavaScript |
| Databases & Cloud | PostgreSQL, MySQL, Supabase, Firebase, Docker |
| AI & Machine Learning | Python, TensorFlow, PyTorch, YOLOv8 |
| Specialized Tools | Z3 Solver, C++, Git, REST APIs |
Always open to discussing AI integration, robust SaaS architectures, and innovative engineering roles.