CV
Curriculum vitae of Mohammad Khalilzadeh — AI & GRC Researcher and Computer Engineer.
Contact Information
| Name | Mohammad Khalilzadeh |
| Professional Title | AI & GRC Researcher, Computer Engineer |
| muhammadkhalilzadeh1998@gmail.com | |
| Location | Qazvin, Qazvin Province |
Professional Summary
AI & GRC researcher and computer engineer focused on trustworthy machine learning, AI governance, and regulatory compliance automation. I architect and build open-source platforms — most notably VerifyWise — that map frameworks such as the EU AI Act, ISO 42001, ISO 27001, and NIST AI RMF into executable software controls. I also bring extensive full-stack and technical-lead experience across React, Node.js, PostgreSQL, Docker, and cloud-native tooling.
Experience
-
2024 - Present Remote
Technical Leader
VerifyWise / BlueWave Labs
Leading architecture and development of VerifyWise, an open-source AI governance and risk management platform.
- Designed data models and system architecture for model inventory, risk registers, vendor governance, evidence collection, and audit reporting.
- Mapped EU AI Act, ISO 42001, ISO 27001, and NIST AI RMF requirements to executable compliance controls.
- Defined engineering standards — code review, branching strategies, testing coverage, and documentation — that reduced defects and accelerated onboarding.
-
2024 - 2024 Remote
Full-Stack Developer
BlueWave Labs — Checkmate
Delivered performance-critical frontend features and backend services for a compliance-focused product.
- Built React frontend features with rendering optimization and accessible component design.
- Contributed to backend service development with consistent API contracts and test coverage.
-
2023 - 2024 Iran
Full-Stack Developer
Atrez-Sunex (Farasoo Fanavaran Farjad)
Developed enterprise web applications and optimized data-layer performance.
- Engineered accessible UI components in React.js.
- Optimized SQL Server query performance and database design.
- Researched and proposed architectural improvements including test automation and modular service boundaries.
-
2022 - 2023 Iran
Full-Stack Developer
Roozbeh Charity (Registered NGO)
Shipped accessible frontend experiences and RESTful backend services for a nonprofit dashboard.
- Introduced automated testing and CI/CD pipelines adopted by the team.
- Designed RESTful APIs and responsive frontends for internal operations.
-
2020 - 2022 Remote
Founder & Technical Lead
TradeMaster
Founded and architected a location-based e-commerce platform combining financial news, trading tools, and geolocation services.
- Shipped cross-platform mobile (Flutter) and web (Vue.js) applications.
- Recruited and led a distributed engineering team across multiple countries.
- Built hybrid database architecture with MongoDB and MySQL and integrated Google Maps API.
-
2019 - 2020 Iran
Full-Stack Developer
Eadeh Pardaz Hooshman Sa’ee
Built cross-platform mobile and web applications for early-stage products.
- Developed cross-platform mobile apps with Flutter.
- Built dynamic web applications with React.js and Vue.js.
- Developed backend systems using ASP.NET and Node.js.
Education
-
2023 - 2026 Tehran, Iran
Master of Science
Raja University
Computer Engineering
- Thesis: VerifyWise: An Open-Source Approach to Democratizing AI Governance and Regulatory Compliance
- Advisor: Dr. Afsaneh Jalalian
- Expected graduation: September 2026
-
2019 - 2023 Zanjan, Iran
Bachelor of Engineering
University of Zanjan
Computer Engineering
- Thesis: Online location-based system for trading goods and services
- Advisor: Dr. Ali Amiri
Research Experience
Publications
-
2026 VerifyWise: A Modular AI Governance Platform for Data-Driven Compliance Management
The Second International Interdisciplinary Conference on Artificial Intelligence
First-author paper presenting VerifyWise, a modular platform for operationalizing AI governance and regulatory compliance.
-
2022 Prediction of Arginine Methylation Sites Using Deep Learning Methods
13th National Conference on Applied Research in Electrical and Computer Sciences and Biomedical Engineering
Co-authored conference paper applying deep learning methods to bioinformatics sequence prediction.
Awards
-
2026 Outstanding Graduate Coursework
Raja University
MSc GPA of 19.52/20 in Computer Engineering.
Certificates
- Machine Learning Specialization - Stanford University (Coursera) (2023)