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PORTFOLIO · 2026 · arsamsabbagh.ir
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Arsam Sabbagh
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آرسام صباغ
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Senior AI Researcher · LLM Engineer · Editor-in-Chief, Teknav · Web Designer (Coaxys)
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Building, evaluating, and shipping intelligent systems at industrial scale — with a parallel practice in editorial web design under the name Coaxys. Based in Tehran, Iran.
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hello@arsamsabbagh.ir
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About
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Arsam Sabbagh is a senior AI researcher and LLM engineer with three-plus years building machine-learning systems for production. As Editor-in-Chief at Teknav, he shapes the Farsi-speaking world's most-read ML coverage — and continues to publish original research alongside it.
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His core work sits at the intersection of LLM pipeline design, inference optimization, and quantitative evaluation of frontier models. Outside the lab he runs Coaxys, a small practice for frontend and brand work serving startups and tech companies.
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+ - Senior AI Researcher · Editor-in-Chief, Teknav
+ - Pre-founding technical contributor, Teknav
+ - Data-centric AI · agentic systems · inference
+ - Frontend & brand under Coaxys
+ - Go-to Farsi-language resource for ML engineers
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Operating Principles
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I. Evidence over enthusiasm.
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Benchmarks are not vibes. Ship the eval before you ship the model.
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II. Boring infrastructure, ambitious models.
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A model is only as good as the pipeline that feeds it and the harness that scores it.
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III. Persian is a first-class citizen.
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A tokenizer that drops half the alphabet is a bug, not a quirk. Build for the language you write in.
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IV. Editorial taste is technical taste.
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How a project reads — its docs, its UI, its naming — is how it survives the year.
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Expertise
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Track A — AI & LLM Engineering
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+ - Large language model pipeline design
+ - Inference optimization & throughput tuning
+ - Quantitative evaluation of frontier models
+ - Data engineering at industrial scale
+ - Agentic systems & deployment
+ - Applied ML research
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Track B — Web Development & Design (as Coaxys)
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+ - Frontend architecture (React, Next.js)
+ - UI/UX design & rapid prototyping
+ - Brand identity for tech products
+ - Editorial type & layout systems
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Selected Projects
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Frontier-Eval
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A reproducible harness for quantitative evaluation of frontier LLMs across reasoning, code, and long-context benchmarks.
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PythonvLLMEval
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Pars-RAG
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A Persian-first retrieval-augmented generation stack with domain adapters for legal and medical corpora.
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RAGPersian NLPFAISS
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Inference Lab
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Throughput and latency tuning toolkit — quantization, speculative decoding, and KV-cache strategies benchmarked side by side.
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vLLMTensorRTQuantization
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AgentScript
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A lightweight planner-executor pattern for production agents, with structured tools and replayable traces.
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AgentsTypeScriptOpenTelemetry
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Writing — Teknav
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28 long-form pieces on machine learning, LLM engineering, and applied research — read by the Farsi-speaking tech community.
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Stats
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+ - 28 articles published
+ - 118,280 total views
+ - 4,789 reactions
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Current 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 (Coaxys): Next.js, React 19, Tailwind, Framer Motion, Figma, MDX
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Contact
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Open to senior ML engineering roles, research collaborations, editorial commissions, and selective design engagements through Coaxys.
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+ آرسام صباغ — پژوهشگر ارشد هوش مصنوعی و مهندس مدلهای زبانی از تهران، ایران.
+ سردبیر تکنَو | طراح وب تحت نام کواکسیس
+ تخصص: طراحی خط لولهٔ مدلهای زبانی، بهینهسازی استنتاج، ارزیابی کمّی مدلهای پیشرو، پردازش زبان فارسی
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