Hi! I'm Arman. I specialize in designing and building high-throughput backend platforms, distributed systems, and real-time AI infrastructure.
With a B.S. in Statistics and experience as a Software Engineer, I bridge the gap between complex data science models and production-grade engineering. My focus is on Python, Go, Kubernetes, and Event-Driven Architectures that scale.
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Languages |
Backend & Data |
Infrastructure & DevOps |
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AI / ML / CV |
Edge & Embedded |
Tools |
- Contributed 3D colorHashTSDF implementation to the official OpenCV 5.x core library (C++/Python).
- Demonstrates ability to work with large-scale, high-performance computer vision codebases.
π Statscore
- A Rust based library with Python Port for robust statistical scoring and metric calculation, built from first principles.
- Bridges the gap between theoretical statistics (B.S. background) and production-grade Python engineering.
- Implements efficient algorithms for descriptive statistics, hypothesis testing, and distribution analysis without heavy external dependencies.
- An open-source Android music player built with Kotlin and modern Clean Architecture.
- Showcases mobile development skills and UI/UX attention to detail.
π Snakers
- A Python package published on PyPI for interactive learning.
- Integrated with Ruff for linting, demonstrating commitment to code quality and developer tooling.
I'm always open to discussing distributed systems, AI infrastructure, or open-source collaborations.
- π« Email: armanrostami1382@gmail.com
- πΌ LinkedIn: linkedin.com/in/arman--rostami
- π Portfolio: armanrasta.github.io



