Shahrzad Mirzaei

Software Engineer · AI/ML Engineer

I build reliable, production-ready applications that connect research, machine learning, and clean engineering.

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Now

Designing and integrating full-stack, ML-powered tools for imaging and data-intensive systems — with a focus on performance, observability, and clear documentation.

  • Python · C++ · JavaScript
  • Flask · React · REST
  • PyTorch · TensorFlow · ONNX
  • Docker · CI/CD · AWS

Technical Stack

Languages

Python, C++, Java, JavaScript, TypeScript, SQL, MATLAB

Backend & APIs

Flask, Node.js, Express, .NET, REST, JSON, OAuth, JWT

Frontend & UI

HTML5, CSS3, React, Responsive Design, UX prototyping

ML & Data

PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, OpenCV, ONNX

Infra & DevOps

AWS, Docker, GitHub Actions, PostgreSQL, MySQL, MS SQL Server

Core Strengths

Image Processing, 3D Rendering, Real-time Machine Learning, Data Visualization, System design, integration, testing, documentation, mentoring, SDLC ownership

Experience

Graduate Research Assistant — Software & ML Engineer

Multimedia Systems Lab, Simon Fraser University · 2022 – Present
  • Built end-to-end tools for spectral data collection, image analysis, and visualization.
  • Integrated ONNX-optimized ML models into Flask/React apps for real-time analysis.
  • Owned requirements, UML design, testing, and deployment across web & mobile.

Graduate Teaching Assistant

School of Computing Science, SFU · 2023 – Present
  • Supported courses in AI, Software Engineering, Databases, Data Science, Imaging.
  • Designed rubrics, graded code, and mentored 300+ students in Python, Java, SQL.

Software Engineer Intern

ARON Company · 2020 – 2021
  • Developed RESTful Flask + PostgreSQL services for internal automation.
  • Implemented authentication, optimized queries, and shipped stable releases.

Data Scientist Intern

Kojafood · 2020 - 2022
  • Built a recommendation engine integrating SQL + Python APIs.
  • Improved engagement through scalable, production-aware ML.

Selected Projects

MobiLyzer — Mobile Liquid Analyzer

End-to-end mobile spectral analysis pipeline: Python backend, ONNX runtime, Android client.

IMWUT/UbiComp · Production-focused, reproducible, documented.

View code

Interactive RGB+NIR Photo Editing

React + TypeScript + REST tool for real-time RGB–NIR fusion and editing in the browser.

ACM SIGGRAPH 2024

View code

MobiSpectral

Deep learning inference modules for mobile hyperspectral imaging and analysis.

ACM MobiCom 2023

View code

Publications

Contact

Open to roles in software engineering, ML engineering, and research-driven product teams.

sma318@sfu.ca · Vancouver, BC · github.com/chercode