Aref Azizian

I'm a Software Engineer & AI Researcher

About me

Relevant Experience

  • 2025–Present

    System Group

    Senior Software Engineer

    Contributing to an ERP system built with Go at System Group, one of Iran's most established technology companies.

  • 2024–2025

    NovinMana

    Dotnet Developer

    Responsible for developing and overhauling order management system (OMS) for Iran stock market

  • 2022–2024

    Exon IT

    Dotnet Developer

    Responsible for developing and overhauling order management system (OMS) for Iran stock market

    Created a platform for options stock trading

  • 2020–2022

    DPE

    Dotnet Developer

    (Formerly responsible for developing new microservices for 2 products)

    Responsible for DPE's startup that is an event-driven microservice that includes more than 17 service. Used to work at DPE's HQ in Tehran, later working remotely from Home šŸ˜„

Education

  • 2023–2025

    Ms.c. Computer Science

    GPA: 19.71/20 - Ranked Top 1 Student

    Amirkabir University

  • 2018–2023

    BS.c. Computer Science

    Amirkabir University

Publications

Projects

  • RedisStorm

    C#, Dotnet

    RedisStorm is a powerful, easy-to-use wrapper for StackExchange.Redis that simplifies working with Redis Pub/Sub. Perfect for anyone who needs reliable messaging, streamlined integration, and better performance! šŸš€

  • Large-Scale Recommendation System

    Python, Pandas, NumPy, SciPy, Matplotlib

    Developed a user-to-user collaborative filtering recommendation system using the MovieLens 20M dataset, which required sparse matrix representation to reduce memory usage and optimize computation.

  • Json2ExcelMiddleware

    C#, Dotnet

    Json2ExcelMiddleware allows you to effortlessly convert your .NET controller's JSON responses into Excel as simply as adding a header.

  • GNNs Comparative Analysis

    Python, PyTorch, Torch Geometric, Scikit-learn, Pandas

    Compared Graph Neural Networks (GCN, GraphSAGE, GAT) with traditional models like Random Forest and MLP, analyzing accuracy and scalability on superhero datasets.

References

Let's talk


if you're interested in working with me
..or if you just want to treat me to a cup o' coffee

Get in touch!

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