AI & GRC Researcher · Computer Engineer · Technical Lead

I am an AI & GRC Researcher and Computer Engineer working at the intersection of trustworthy machine learning, AI governance, and software engineering. My research focuses on building verifiable, auditable, and regulation-aligned AI systems that can be deployed and maintained in production environments.

I am currently completing my M.Sc. in Computer Engineering at Raja University, where my thesis introduces VerifyWise — an open-source platform that democratizes AI governance by mapping the EU AI Act, ISO 42001, ISO 27001, and NIST AI RMF into executable compliance controls.

As Technical Lead at BlueWave Labs / VerifyWise, I architect the platform, define engineering standards, and lead a distributed team building the data models, risk registers, vendor governance workflows, and audit reporting tools needed for real-world AI compliance.

• Trustworthy Machine Learning & Responsible AI
• AI Governance, Risk & Compliance (GRC) Automation
• EU AI Act · ISO 42001 · ISO 27001 · NIST AI RMF
• MLOps & Production AI Systems
• Software Engineering for AI

VerifyWise / BlueWave Labs — Technical Leader
Sep 2024 – Present

• Leading architecture and development of VerifyWise, an open-source AI governance and risk management platform.
• Mapping EU AI Act, ISO 42001, ISO 27001, and NIST AI RMF requirements to executable compliance controls.
• Defining engineering standards: code review, branching strategies, testing coverage, and documentation.

BlueWave Labs — Checkmate — Full-Stack Developer
May 2024 – Sep 2024

• Delivered performance-critical frontend features in React and backend services with consistent API contracts.

Atrez-Sunex (Farasoo Fanavaran Farjad) — Full-Stack Developer
Aug 2023 – May 2024

• Built accessible React components, optimized SQL Server queries, and proposed test-automation improvements.

Roozbeh Charity (Registered NGO) — Full-Stack Developer
Dec 2022 – Aug 2023

• Shipped accessible frontend experiences and RESTful backend services; introduced CI/CD pipelines.

TradeMaster — Founder & Technical Lead
2020 – 2022

• Founded a location-based e-commerce and financial-news platform with Flutter, Vue.js, Node.js, and hybrid databases.

Eadeh Pardaz Hooshman Sa’ee — Full-Stack Developer
2019 – 2020

• Built cross-platform mobile apps with Flutter and web apps with React.js/Vue.js; backend with ASP.NET and Node.js.

1. Khalilzadeh, M., & Razavi, F. (2026).
   VerifyWise: A Modular AI Governance Platform for Data-Driven Compliance Management.
   The Second International Interdisciplinary Conference on Artificial Intelligence (IICAI 2026).
   First Author · Google Scholar

2. Safari, L., Geranmayeh, H., & Khalilzadeh, M. (2022).
   Prediction of Arginine Methylation Sites Using Deep Learning Methods.
   13th National Conference on Applied Research in Electrical and Computer Sciences and Biomedical Engineering.

AI / Machine Learning
Python · NumPy · Pandas · Scikit-learn · PyTorch · TensorFlow · Keras · Jupyter

Software Engineering
React.js · Vue.js · Flutter · TypeScript · JavaScript · Node.js · Nest.js · Express.js · Django · ASP.NET

Databases
PostgreSQL · MySQL · MongoDB · SQL Server

DevOps / MLOps
Docker · GitHub Actions · CI/CD · Git · Linux · Nginx

AI Governance & Compliance
EU AI Act · ISO 42001 · ISO 27001 · NIST AI RMF · Risk Assessment · Audit Trails

Design & Collaboration
Figma · Architecture Decision Records · Code Review · Agile / Remote Leadership

• Machine Learning Specialization — Stanford University (Coursera)
  • Supervised Machine Learning: Regression and Classification
  • Advanced Learning Algorithms
  • Unsupervised Learning, Recommenders, Reinforcement Learning

• Persian/Farsi — Native
• English — Professional proficiency (IELTS 6.5, expired 2025)
• French — Beginner

• 🌐 Website: muhammadkhalilzadeh.github.io/MuhammadKhalilzadeh
• 💼 LinkedIn: Mohammad Khalilzadeh
• 🎓 Google Scholar: Profile
• 🐙 GitHub: MuhammadKhalilzadeh
• 📧 Email: muhammadkhalilzadeh1998@gmail.com

Open to research collaborations, open-source contributions, and technical discussions on trustworthy AI and AI governance.