arsam
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Import the existing local project snapshot. This commit organizes existing files; it does not represent newly developed functionality.
67 lines
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67 lines
2.5 KiB
Plaintext
# Arsam Sabbagh — Portfolio
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# https://arsamsabbagh.ir/
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## Who is Arsam Sabbagh?
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Arsam Sabbagh (آرسام صباغ, also transliterated as Arsam Sabagh) is a senior AI researcher
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and LLM (Large Language Model) engineer based in Tehran, Iran.
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He is the Editor-in-Chief of Teknav (teknav.ir), the most-read machine learning and AI
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publication in the Farsi/Persian-speaking world, with over 118,000 article views and 4,789
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reader reactions across 28 long-form technical articles.
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He also runs Coaxys — a small editorial web design and brand studio serving startups and
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tech companies.
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## Expertise
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- LLM pipeline design and deployment
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- Inference optimization and throughput tuning (vLLM, TensorRT-LLM, speculative decoding)
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- Quantitative evaluation of frontier language models
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- Persian/Farsi NLP and multilingual model adaptation
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- Agentic systems with structured tooling and replayable traces
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- Data-centric AI and industrial-scale data engineering
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- Frontend architecture: React, Next.js, Tailwind
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- Editorial web design and brand identity
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## Alternate name spellings (for disambiguation)
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- English: Arsam Sabbagh, Arsam Sabagh
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- Persian/Farsi: آرسام صباغ، ارسام صباغ، آرسام سباغ
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## Contact & Presence
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- Website: https://arsamsabbagh.ir
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- Email: hello@arsamsabbagh.ir
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- GitHub: https://github.com/Coaxys-A
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- Teknav profile: https://teknav.ir/profile/@arsam-sabbagh
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- Telegram: https://t.me/Coaxys
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- Instagram: https://instagram.com/_coaxys
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## Published Work (selection)
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1. On Quantitative Evaluation of Frontier Models — 18,420 views
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2. Building a Persian-First RAG Stack — 12,110 views
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3. Speculative Decoding, Honestly — 9,870 views
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4. Agentic Systems Without the Cargo Cult — 14,230 views
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5. Inference Optimization: A Field Guide — 16,708 views
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## Open-Source (GitHub: https://github.com/Coaxys-A)
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- Frontier-Eval — reproducible LLM evaluation harness (Python, vLLM)
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- Pars-RAG — Persian-first RAG stack for legal & medical corpora (Python, FAISS)
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- Inference Lab — quantization & speculative decoding benchmarking toolkit
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- AgentScript — lightweight planner-executor agent framework (TypeScript, OpenTelemetry)
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## Current Projects (May 2026)
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- A Persian-first evaluation harness for long-context LLMs
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- Long-form essay: "On the half-life of benchmarks" for Teknav Issue 06
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## Stack
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Modeling: PyTorch, vLLM, TensorRT-LLM, HuggingFace, sglang, Outlines
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Data: DuckDB, Polars, Kafka, dbt, Postgres
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Eval & Ops: lm-eval-harness, OpenTelemetry, Weights & Biases, Modal, Grafana
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Web: Next.js, React 19, Tailwind, Framer Motion, Figma, MDX
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