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PRESENT
A backend-leaning developer working at the intersection of AI systems, infrastructure, and software engineering.
I build the pipelines, routing logic, data systems, and containerized workflows that turn machine learning concepts into usable software. My background spans applied AI, data engineering, CI/CD automation, backend development, and experimentation with large language models.
A selection of systems and experiments developed across software engineering, machine learning, AI infrastructure, and applied research.
Offline AI framework combining static code analysis with Transformer models for secure and privacy-preserving automated debugging.
Database-driven soccer club management system designed to manage members, teams, locations, and club information through a Flask-based web interface connected to a MySQL database.
Open-source restaurant reservation platform developed with a 10-member team, including reporting, analytics, and localization features.
AI-powered clienteling platform for luxury retail, combining customer intelligence, personalized recommendations, and workflow automation.
Comparative computer vision study using multiple CNN architectures, scratch training, transfer learning, and Grad-CAM analysis for automated waste-image classification.