I architect and build custom, high-performance AI systems designed for low latency, high throughput, and deterministic reliability. Operating under a strict "Research First, Production Last" philosophy, I validate complex system designs through rigorous prototyping, static analysis, and technical due diligence before committing code to production.
My work focuses on bridging Python’s expressiveness in the AI ecosystem with Go’s low-latency, concurrent, and systems-level capabilities. By replacing fragile plumbing with high-concurrency Go services, I eliminate interpreter overhead and GIL contention, delivering compliant, resilient agentic platforms and enterprise RAG infrastructure that scale effortlessly.
- Custom High-Performance Go Systems: Designing concurrent, low-latency, and memory-efficient Go engines to power heavy AI workloads and overcome traditional execution bottlenecks.
- Deterministic RAG & Vector Infrastructure: Architecting high-fidelity retrieval pipelines, vector index optimizations, and zero-copy data paths for real-time context injection with zero hallucinations.
- Agentic Topologies & Multi-Agent Platforms: Engineering multi-step, tool-using manager-worker agent graphs equipped with strict error-handling boundaries, deterministic fallbacks, and human-in-the-loop validation.
- Enterprise Modernization & Hybrid Systems: Seamlessly integrating cognitive AI layers into legacy enterprise platforms while ensuring strict data sovereignty, security compliance, and operational resilience.
My leadership is grounded in structural engineering over incremental patches. I build foundational capabilities that ensure AI systems remain operable, auditable, and performant as business requirements evolve:
- Research First, Production Last: Rigorous architectural validation, benchmarking, and due diligence before deployment.
- Python for orchestration & rapid iteration: Leveraging the rich ecosystem for model design and rapid prototyping.
- Go for high-concurrency & core execution: Utilizing Go's runtime, native concurrency models, and low memory footprint for mission-critical core engines.
- Determinism & Safety by Design: Strict access controls, fallback guarantees, and comprehensive observability across every layer of the AI lifecycle.
https://aran-kazemi.github.io/portfolio/
