Product Engineer
AI & Web Specialist
Crafting intelligent and intuitive digital experiences at the intersection of AI and web technology

Professional Journey
With over 5 years of experience in product engineering, I build scalable, AI-enhanced web applications that blend robust backend architecture with user-focused design. My work spans from high-performance platforms in edtech and e-commerce to tools that leverage machine learning and LLMs for real-world developer productivity. I thrive at the intersection of innovation and execution, bridging bold ideas with practical, impactful solutions.
Core Competencies
- Full-Stack Web Development
- AI & Machine Learning Integration
- Product Design & Strategy
- SEO-Driven Architecture
- DevOps & Cloud Deployment
Beyond the Code
When I'm not engineering solutions, I’m experimenting with ideas—from startup models and solo SaaS projects to hiking-tech platforms and Git-based tools. I have a deep interest in evolution, systems design, and empowering freelancers with better legal and technical support. My drive is fueled by curiosity, continuous learning, and building things that matter.
Tech Arsenal
Bachelor
Bachelor of Computer engineering from the University of Tabriz (2019-2025)
τrilix
3D AI chat space with multi-threaded timelines you can branch, connect, and remix. Coming soon
Compression AI/Algo
Developing a reinforcement learning–based approach to improve data compression efficiency during transfer. The project explores novel algorithmic strategies to outperform conventional compression techniques (Feb 2024 - Apr 2024) Ataei A. - Farid A.
Real Time Voice Command Recognition
Designed and implemented a mobile application for real-time voice command recognition. Collected and curated a custom dataset, and optimized model performance through systematic experimentation with architectures, hyperparameters, and training procedures (Aug 2023) Ataei A., Meghdadi M.
Ministry of Health and Medical Education Web Link Ranking
The purpose of the project is to scrap, extract and rank the links going to the Ministry of Health and my responsibility in this project is parsing the incoming web pages to smaller parts and extract links and generate a web graph which shall be used for ranking. website/model/Notebook/Dataset Feb 2024 - Jun 2024