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+# Arsam Sabbagh — Portfolio
+# https://arsamsabbagh.ir/
+
+## Who is Arsam Sabbagh?
+
+Arsam Sabbagh (آرسام صباغ, also transliterated as Arsam Sabagh) is a senior AI researcher
+and LLM (Large Language Model) engineer based in Tehran, Iran.
+
+He is the Editor-in-Chief of Teknav (teknav.ir), the most-read machine learning and AI
+publication in the Farsi/Persian-speaking world, with over 118,000 article views and 4,789
+reader reactions across 28 long-form technical articles.
+
+He also runs Coaxys — a small editorial web design and brand studio serving startups and
+tech companies.
+
+## Expertise
+
+- LLM pipeline design and deployment
+- Inference optimization and throughput tuning (vLLM, TensorRT-LLM, speculative decoding)
+- Quantitative evaluation of frontier language models
+- Persian/Farsi NLP and multilingual model adaptation
+- Agentic systems with structured tooling and replayable traces
+- Data-centric AI and industrial-scale data engineering
+- Frontend architecture: React, Next.js, Tailwind
+- Editorial web design and brand identity
+
+## Alternate name spellings (for disambiguation)
+
+- English: Arsam Sabbagh, Arsam Sabagh
+- Persian/Farsi: آرسام صباغ، ارسام صباغ، آرسام سباغ
+
+## Contact & Presence
+
+- Website: https://arsamsabbagh.ir
+- Email: hello@arsamsabbagh.ir
+- GitHub: https://github.com/Coaxys-A
+- Teknav profile: https://teknav.ir/profile/@arsam-sabbagh
+- Telegram: https://t.me/Coaxys
+- Instagram: https://instagram.com/_coaxys
+
+## Published Work (selection)
+
+1. On Quantitative Evaluation of Frontier Models — 18,420 views
+2. Building a Persian-First RAG Stack — 12,110 views
+3. Speculative Decoding, Honestly — 9,870 views
+4. Agentic Systems Without the Cargo Cult — 14,230 views
+5. Inference Optimization: A Field Guide — 16,708 views
+
+## Open-Source (GitHub: https://github.com/Coaxys-A)
+
+- Frontier-Eval — reproducible LLM evaluation harness (Python, vLLM)
+- Pars-RAG — Persian-first RAG stack for legal & medical corpora (Python, FAISS)
+- Inference Lab — quantization & speculative decoding benchmarking toolkit
+- AgentScript — lightweight planner-executor agent framework (TypeScript, OpenTelemetry)
+
+## Current Projects (May 2026)
+
+- A Persian-first evaluation harness for long-context LLMs
+- Long-form essay: "On the half-life of benchmarks" for Teknav Issue 06
+
+## Stack
+
+Modeling: PyTorch, vLLM, TensorRT-LLM, HuggingFace, sglang, Outlines
+Data: DuckDB, Polars, Kafka, dbt, Postgres
+Eval & Ops: lm-eval-harness, OpenTelemetry, Weights & Biases, Modal, Grafana
+Web: Next.js, React 19, Tailwind, Framer Motion, Figma, MDX