Loading...
Loading...
From the foundational logic of code to the strategic vision of product leadership
My career has been a journey of converting ideas into running products at scale. As a Technical Product Manager who still codes, I combine software engineering expertise with product vision to build scalable systems that achieve product-market fit. From perfect academic records to 10K RPS architectures, from backend engineering to leading AI product development - I bring complete ownership from concept to production.
alienintellect.ai
Leading multi-agent AI system development from concept to closed beta. Managing cross-functional teams (engineering, design, product) using Scrum and Agile. Building MVP with integrated AI models for creative content generation. KPI and OKR-driven product management.
Cafe Bazaar
Led cross-functional teams through Python to Go migration, designed 10K RPS architecture, developed documentation system, and merged microservices. Hands-on coding with team mentorship and technical leadership.
Cafe Bazaar
Complete ownership of systems. Worked on products serving 51M+ users at Cafe Bazaar. Managed CI/CD, Kubernetes deployments, and Prometheus monitoring.
Independent
Helped businesses develop scalable systems, establish robust processes, and make sound architectural decisions.
Abre Ferdowsi
Gained hands-on experience with cloud infrastructure and early cloud adoption.
Top of class in undergraduate Computer Engineering, completed in 8 semesters
Ranked first at Sharif University (Iran's most prestigious technical university)
2-year membership in Iran's National Elite Foundation
Designed and implemented systems handling 10,000 requests per second
Worked on products serving 51+ million Persian-speaking users globally
Academic research in Blockchain, Healthcare, and Fog Computing (Springer)
I believe in the "zero to 100" philosophy - complete ownership of the entire product lifecycle. As a Technical Product Manager who still codes, I write production Python (with some Golang), manage CI/CD pipelines, self-manage Kubernetes deployments, monitor with Prometheus and Grafana, lead cross-functional teams, and make strategic decisions based on KPIs, OKRs, and A/B tests. This engineering background enables effective technical communication and builds teams that truly understand and own their systems.
Deep optimization and performance are fundamental to both AI systems and traditional infrastructure. From architecting multi-agent AI workflows with RAG and prompt engineering to migrating Python to Go for 10,000 RPS scalability - technical excellence drives business success. AI observability, LLM evaluation, benchmarking, and traditional system profiling ensure every decision is backed by metrics and continuous improvement.
With several years of teaching experience and community organizing (Ferdowsi LUG), I've learned that the best engineers are also great teachers. Developing documentation systems, mentoring teams, and contributing to open-source creates a culture of learning that elevates everyone.
When I'm not architecting systems or leading teams, I'm an avid sports enthusiast who believes in staying active and maintaining balance. I've spent years organizing the Ferdowsi Linux User Group and actively volunteering in university and Linux associations, giving back to the community that helped shape my career.
My passion for robotics (where I won multiple awards) continues to inspire my approach to systems thinking, and my teaching experience has sharpened my communication and storytelling skills - essential for product leadership.