Electrical Engineering student and Backend Software Engineer specializing in C#, ASP.NET Core, and robust enterprise applications — bridging the gap between complex algorithms and production-ready software.
I'm an Electrical Engineering student at Shahid Beheshti University and a dedicated Backend Software Engineer. Over the past few years, I've fused the analytical rigor of system engineering with modern server-side technologies — architecting resilient enterprise backends with C# and .NET 9.
I believe robust software systems stem from mathematical discipline and clean design. Whether managing concurrency bottlenecks, optimizing SQL queries, or orchestrating microservices with RabbitMQ, my focus is always on high availability, low latency, and maintainable code.
Decoupled domain logic, MediatR handlers, and FluentValidation for predictable scale.
Optimistic concurrency with RowVersion and distributed Redis caching for high-load workflows.
Composite indexing, AsSplitQuery, and connection resilience with EF Core & SQL Server.
Deep learning models (CNNs/PyTorch) for predictive anomaly detection and research.
Hands-on commercial experience: developing backend services, architecting SQL databases, and implementing RESTful APIs for an enterprise hotel automation platform in production with the C# & .NET ecosystem.
TA for Signals & Systems at SBU — mentored students through complex analytical modeling, linear transforms, and problem-solving.
Co-authoring a peer-reviewed research paper applying machine learning and signal processing with SBU engineering faculty.
The tools I use to turn data into working systems.
Hands-on experience building production web applications — designing relational databases, building secure REST APIs, and architecting scalable backends for a hotel automation platform.
Selected work blending engineering, software design, and clean architecture.
A microservices-based platform for event ticketing featuring seat-reservation concurrency management, JWT authentication, and asynchronous notification delivery. Architected with Clean Architecture and CQRS using .NET 9, EF Core, SQL Server, Redis, and RabbitMQ.
Designed and developed back-end features for an enterprise hotel automation system (Homa Hotels group), including robust RESTful APIs, scalable SQL-backed data models, and system architecture running in active production.
An advanced B2B platform leveraging semantic RAG architecture and a multi-model LLM cascade for automated contract-risk analysis and RFP extraction. Features zero-hallucination validation and a self-learning knowledge loop.
A CNN-based deep learning model that detects airgap-eccentricity faults in induction motors from vibration/current signal data, applying signal-processing techniques to catch faults early.
Currently working on a new research paper exploring advanced computational architectures in collaboration with Shahid Beheshti University faculty.
Joining the electrical engineering department to gather industrial data and receive specialized technical training supporting an upcoming research paper.
Assisted students with core signal-processing concepts, problem-solving sessions, and practical exercises.
Built and maintained back-end features for a hotel automation platform using C# and ASP.NET Core. Designed SQL database schemas and developed REST APIs powering core hotel operations workflows.
Started as an intern learning production development practices with C#, ASP.NET, and SQL Server; converted into a full role.
Comprehensive curriculum focused on signal processing, control systems, and programming — bridging hardware electronics with software engineering.