About Me
I am a full-stack developer and ML engineer with a master's in computer systems from Shahid Beheshti University and research experience at the Institute for Research in Fundamental Sciences. I have spent years shipping production software — from enterprise systems and brokerage platforms to Chrome extensions, APIs, and ML pipelines — while exploring how software and hardware meet in deep learning systems.
My background blends systems engineering with practical product development. I care about intermediate representations between high-level and low-level languages, compilers, LLVM, and MLIR — but I am just as happy building a polished web app that solves a real problem for a real user.
These days I work remotely, take on freelance projects, and document my digital nomad journey on Instagram @imi____________i. If you want to collaborate, my GitHub projects are a good place to see what I have been building lately.
Research Project
SPRINT
I designed and developed a framework for using in memory processing technology for DNN hardware acceleration. The framework integrates the procedure required for converting DNN models to executable binaries. This technology enables us to process memory-intensive layers of a DNN, such as fully connected, on memory rather than GPU or CPU.
Languages
TypeScript, Python, C#, JavaScript, and C++ for product development, APIs, and ML workflows.
Front-End
Angular, HTML5, CSS3, Bootstrap, and TypeScript for building component-driven, responsive, and polished user interfaces.
Back-End
ASP.NET, FastAPI, Node.js, PostgreSQL, and MySQL for scalable APIs, backend services, and reliable data layers.
ML & Tools
PyTorch, TensorFlow, ML.NET, Git, Docker, Linux, and modern AI-assisted tools for training, shipping, and collaboration.
