ASP.NET · Python · Machine Learning
Building the bridge between intelligent models and production web applications. 5+ years of full-stack expertise now focused on AI integration — making ML systems that real users can actually use.
ASP.NET Core restaurant platform with an AI chat widget grounded strictly in the live menu, auto-generated EN/AR/FR translations backed by a custom culinary glossary, and demand-mining that clusters customer questions into "menu gaps" — things asked for but not on the menu.
Multi-tenant RAG chatbot for small businesses — trains on a business's own PDFs or website, embeds via a JS widget, with a dashboard for managing sources and conversations.
Retrieval-Augmented Generation system for news Q&A. Grounding LLMs in real-time domain knowledge.
Unsupervised outlier detection using clustering and statistical methods on real-world datasets.
Full backend with authentication, CRUD operations, and clean REST API design patterns.
CNN-based biometric identity verification and classification. Deep learning applied to authentication.
Containerization exercises covering Dockerfiles, compose setups, and deployment environment management.
Binary classification model predicting passenger survival — data cleaning, feature engineering, and model evaluation.
Custom Model Context Protocol server that lets AI agents read project structure, search code, check dependencies, and apply review suggestions directly on ASP.NET / .NET codebases.
Open to freelance projects, full-time roles, and collaborations at the intersection of AI and the web.
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