PORTFOLIO · 2026 · arsamsabbagh.ir
Arsam Sabbagh
آرسام صباغ
Senior AI Researcher · LLM Engineer · Editor-in-Chief, Teknav · Web Designer (Coaxys)
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.
hello@arsamsabbagh.ir
About
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.
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.
- 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
Operating Principles
I. Evidence over enthusiasm.
Benchmarks are not vibes. Ship the eval before you ship the model.
II. Boring infrastructure, ambitious models.
A model is only as good as the pipeline that feeds it and the harness that scores it.
III. Persian is a first-class citizen.
A tokenizer that drops half the alphabet is a bug, not a quirk. Build for the language you write in.
IV. Editorial taste is technical taste.
How a project reads — its docs, its UI, its naming — is how it survives the year.
Expertise
Track A — AI & LLM Engineering
- 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
Track B — Web Development & Design (as Coaxys)
- Frontend architecture (React, Next.js)
- UI/UX design & rapid prototyping
- Brand identity for tech products
- Editorial type & layout systems
Selected Projects
Frontier-Eval
A reproducible harness for quantitative evaluation of frontier LLMs across reasoning, code, and long-context benchmarks.
PythonvLLMEval
Pars-RAG
A Persian-first retrieval-augmented generation stack with domain adapters for legal and medical corpora.
RAGPersian NLPFAISS
Inference Lab
Throughput and latency tuning toolkit — quantization, speculative decoding, and KV-cache strategies benchmarked side by side.
vLLMTensorRTQuantization
AgentScript
A lightweight planner-executor pattern for production agents, with structured tools and replayable traces.
AgentsTypeScriptOpenTelemetry
Writing — Teknav
28 long-form pieces on machine learning, LLM engineering, and applied research — read by the Farsi-speaking tech community.
Stats
- 28 articles published
- 118,280 total views
- 4,789 reactions
Current 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 (Coaxys): Next.js, React 19, Tailwind, Framer Motion, Figma, MDX
Contact
Open to senior ML engineering roles, research collaborations, editorial commissions, and selective design engagements through Coaxys.
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