About

Mostech Ventures Inc. is an Ontario corporation, founded in 2024 and based in Toronto, Canada.

We design and build AI-powered software and data platforms for complex, regulated industries, and take them from idea to production.

We are a small, senior team. We combine deep engineering and applied mathematics with production-grade AI (LLMs, agents and neural networks) and hands-on delivery. We build AI that people can trust: structured, explainable and auditable, with humans in the loop.

Our founder has spent more than 20 years building software, simulation and AI platforms across energy, government, health and finance.

He started developing software at 19, during his undergraduate studies. His first product, Virtual Engineer, was a civil-engineering modelling suite built for mathematical precision and performance, which he took from first commit to installer. Early research with artificial neural networks followed.

Career

1. Academia

   Lecturer and teaching assistant in Computer Science

   Taught Java programming, and published in computational mechanics and petroleum engineering.

2. 2012

   Lead developer, national petroleum research institute

   Built a GPU-optimized 2D reservoir simulator and worked on a well-production-enhancement project.

3. Co-founder

   Engineering software company

   Architect of the RETINA enterprise engineering platform, whose technology demonstration attracted international investment.

4. 2019–2022

   Chief Energy Technology Officer, energy technology company

   Led Meera Simulation, petroleum portfolio management, the Tawteen national labour-market system for a government, and healthcare AI for a national Ministry of Health.

5. Chief Data Officer

   Community-commerce startup

   Led the data science and AI team: behavioural insights, sentiment analysis, trend extraction and lead generation.

6. 2024

   Founded Mostech Ventures Inc.

   Toronto, Canada.

Education and depth

• B.Sc. and Master’s in Civil Engineering; admitted to a Ph.D. program with honours
• Multidisciplinary depth in applied mathematics, computer science, computer engineering and mechanical engineering