I'm an AI Director operating at the intersection of research, engineering, and leadership — turning complex machine learning problems into scalable, production-grade systems. I lead cross-functional teams across the full AI lifecycle: from data pipelines and model development to deployment and continuous monitoring.
- 🔭 Currently directing AI strategy and MLOps infrastructure at Pishro Net Energy
- 🧠 Deep background in machine learning, statistical modeling, and systems design
- 🚀 Passionate about bridging the gap between research prototypes and reliable production systems
- 👥 Experienced in building and scaling high-performance AI engineering teams
- 📍 Based in Tehran, Iran
| Project | Description | Stack |
|---|---|---|
| 🔍 ISLE (arXiv:2512.12760) | Hybrid information retrieval architecture for scientific discovery | Python · Ray · Docker · GitLab |
| 🏭 Matna Nexus | Production-deployed industrial diagnosis platform for advanced behavioral insights | Python · Ansible · Docker · GitLab CI |
| ⚡ fuzzy-c-optimized | High-performance fast fuzzy logic systems with native bindings | C++ · Python · Makefiles |
| 🌡️ Thermodynamic Diagnostics | Physics-informed modeling and time-series anomaly detection for chiller devices | Python · Ray · Docker |
"The best AI systems aren't just technically sound — they're built by teams that communicate well, iterate fast, and never lose sight of the problem they're solving."
I believe great AI leadership means:
- Fostering psychological safety so engineers take bold technical risks
- Prioritizing reproducibility and observability from day one — not as an afterthought
- Building bridges between research and production so good ideas actually ship
- Measuring success not just in model accuracy, but in business impact
Open to collaborations, advisory roles, and conversations about AI at scale.