Experience
Timeline
Four Seasons Hotels and Resorts
Principal AI Engineer/Architect · 2026–Present
AI platform architecture for a global hospitality brand’s guest-facing AI systems.
MayAI
Principal AI Engineer/Architect · 2025
Designed a consumer AI agent for household tasks and led the build of its first working prototype, which finds restaurants and builds a food order from a chat message. Case study →
Valco AI
Principal AI Engineer/Architect · 2024–2025
Built an AI-native real estate intelligence platform, and licensed DevGuardian AI to the company and customized it for its internal development team. Case study →
DevGuardian AI
Creator & Architect · 2024–2025
Designed and built a multi-agent code review platform that acts as a virtual senior engineering team, with role-based Architect, QA and Security agents and a retrieval layer built for code. Case study →
FluentCMS
Creator & Lead Maintainer · 2023
Created an open-source content management system for .NET that runs as both a page-building CMS and a headless CMS on a single API, built on ASP.NET Core and Blazor. Open-source page →
YeSvelte
Creator & Maintainer · 2023
Created an open-source Svelte component library whose look comes from a swappable theme, Tabler (Bootstrap) or daisyUI (Tailwind). Open-source page →
Private Lending Platform
Architect & Tech Lead (through Momentaj) · 2022–2023
Architected and led the build of a lending platform for a private investment firm, where investors’ capital funds installment plans and is repaid with interest. Case study →
Trip Support
Fractional CTO & Chief Architect (through Momentaj) · 2019–2022
Led the design and build of a Canadian online travel agency’s booking platform for flights, hotels, vacation packages, travel insurance and Buy Now, Pay Later, and grew its technology team from one person to 14 before handing it over in-house. Case study →
Department of National Defence (Innovative Solutions Canada)
Project Lead & Solution Architect (through Momentaj) · 2019–2020
Won a competitive federal R&D contract (proposal scored 96.5/110) and led a team of nine to deliver Momentrack, a proof of concept that tracks emergency-response equipment, vehicles and personnel in real time over BLE, LoRa and LTE-M, on schedule in six months. Case study →
Tingslab
Co-founder · 2018–2020
Co-founded a Toronto IoT hardware startup and led engineering for Tings, an LTE-M GPS tracker, from device firmware to cloud platform; stopped in 2020 when COVID-19 hit funding, manufacturing and the travel market at once. Case study →
uBeac
Founder · 2017–2020
Founded and built a multi-tenant IoT platform for BLE gateways and building sensors, with more than 3,000 registered users; acquired in 2020. Open-source page →
Momentaj Inc.
Founder & CEO · 2013–Present
My company. Through it I led engagements including Trip Support and the Innovative Solutions Canada contract for the Department of National Defence. My research is collected on R&D & Collaborations.
Sazman Host
Co-founder · 2012–2019
Co-founded an Iranian web hosting and domain registration provider offering Linux, Windows, and enterprise hosting plans; exited in 2019.
Tajan
Founder & CEO · 2002–2017 · Board of Directors · 2017–2019
Founded in 2002 as sole founder with two hired developers (incorporated 2003) and grew it to 50 people as a banking technology partner; acquired by a holding company in 2021. Case study →
Education & Certifications
Education
- Bachelor of Science, Electrical & Electronics Engineering — Shahid Beheshti University, Tehran, Iran (graduated 1999)
- Master’s Degree, IT Project Management — Industrial Management Institute (IMI), Tehran, Iran (2003–2005)
Certifications & Courses
- The Data Scientist’s Toolbox — Johns Hopkins University (with distinction, 2014)
- R Programming — Johns Hopkins University (with distinction, 2014)
- Getting and Cleaning Data — Johns Hopkins University (with distinction, 2014)
- Exploratory Data Analysis — Johns Hopkins University (with distinction, 2014)
- Reproducible Research — Johns Hopkins University (with distinction, 2014)
- Statistical Inference — Johns Hopkins University (with distinction, 2014)
- Introduction to Big Data — University of California, San Diego (2016)
- Hadoop Platform and Application Framework — University of California, San Diego (2016)
- Introduction to Big Data Analytics — University of California, San Diego (2016)
- Graph Analytics for Big Data — University of California, San Diego (2016)
- Machine Learning With Big Data — University of California, San Diego (2016)
- Big Data Foundations — IBM (2016)
- Introduction to Data Science in Python — University of Michigan (course 1 of 5, Applied Data Science with Python Specialization)
- Deep Learning with TensorFlow — Big Data University (2017)
- Introduction to R — DataCamp
- Data Science Specialization — Johns Hopkins University: Regression Models, Practical Machine Learning, Developing Data Products and the Data Science Capstone (courses 7 to 10 of 10)
- Applied Data Science with Python Specialization — University of Michigan: Applied Plotting, Charting & Data Representation; Applied Machine Learning; Applied Text Mining; Applied Social Network Analysis (courses 2 to 5 of 5)
- Machine Learning Foundations: A Case Study Approach; Machine Learning: Regression; Machine Learning: Classification; Machine Learning: Clustering & Retrieval — University of Washington
- Machine Learning; Natural Language Processing; Social and Economic Networks: Models and Analysis — Stanford Online
- Neural Networks and Deep Learning — DeepLearning.AI
- Introduction to Natural Language Processing — University of Michigan
- Text Retrieval and Search Engines — University of Illinois Urbana-Champaign
- Machine Learning for Data Analysis — Wesleyan University
- Process Mining: Data Science in Action — Eindhoven University of Technology
- Big Data – Capstone Project — University of California, San Diego