Import data: messages/en.json
Import the existing local project snapshot. This commit organizes existing files; it does not represent newly developed functionality.
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arsam
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{
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"Metadata": {
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"title": "Arsam Sabbagh — AI Researcher & LLM Engineer",
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"description": "Portfolio of Arsam Sabbagh. Senior AI Researcher, LLM Engineer, and Web Designer (Coaxys). Focuses on LLM pipelines, inference optimization, and editorial design."
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},
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"Header": {
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"nav": {
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"about": "About",
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"expertise": "Expertise",
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"projects": "Projects",
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"writing": "Writing",
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"contact": "Contact"
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}
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},
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"Hero": {
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"tagline": "AI Researcher. LLM Engineer. Web Designer.",
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"ctaWork": "View My Work",
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"ctaWriting": "Read My Writing",
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"scroll": "Scroll to explore"
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},
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"About": {
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"title": "About Me",
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"subtitle": "At the intersection of rigor and design",
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"p1": "I am a Senior AI Researcher, LLM Engineer, and Web Designer (active in the creative community as Coaxys). As the Editor-in-Chief and a pre-founding technical contributor at Teknav, I focus on bridging the gap between frontier machine learning research and industrial-scale engineering.",
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"p2": "Over the past 3+ years, I have specialized in building robust LLM pipelines, optimizing model inference, and performing quantitative evaluations on Frontier Models. My research is centered around data-centric AI and agentic systems, deploying highly intelligent workflows that scale seamlessly.",
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"p3": "In parallel, I direct creative projects under the moniker Coaxys, building high-performance frontend architectures, clean branding, and user experiences for tech companies and startups. I serve as a trusted bilingual bridge, acting as a go-to resource for Farsi-speaking machine learning teams."
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},
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"Stats": {
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"articles": "Articles Published",
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"views": "Total Article Views",
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"reactions": "Reader Reactions"
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},
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"Expertise": {
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"title": "Core Expertise",
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"subtitle": "Two disciplines, one standard of excellence",
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"aiTitle": "AI & LLM Engineering",
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"aiSubtitle": "Researching, optimizing, and deploying frontier models",
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"webTitle": "Web Development & Design",
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"webSubtitle": "Building high-performance editorial interfaces (Coaxys)",
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"aiItems": [
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"Large Language Model pipeline design & orchestrations",
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"Inference Optimization (vLLM, TensorRT-LLM, quantization)",
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"Quantitative evaluation & benchmarking of Frontier Models",
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"Data engineering & preprocessing at industrial scale",
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"Agentic systems & multi-agent deployment workflows",
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"Data-centric AI and machine learning research"
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],
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"webItems": [
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"Modern frontend architecture (React, Next.js, TypeScript)",
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"Editorial-grade UI/UX design & interactive prototypes",
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"Clean brand identity & typography for tech products",
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"Performance-focused web design for startups",
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"Smooth micro-animations & layout engineering"
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]
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},
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"Projects": {
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"title": "Selected Work",
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"subtitle": "A collection of research contributions and visual designs",
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"tabAll": "All Projects",
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"tabAi": "AI & Research",
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"tabWeb": "Web & Design (Coaxys)",
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"viewProject": "View Project",
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"aiLabel": "AI & Research Projects",
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"webLabel": "Web & Design Projects",
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"list": {
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"ai1": {
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"title": "LLM Evaluation Harness",
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"description": "A custom automated benchmarking pipeline for evaluating LLMs on Persian and multilingual reasoning tasks, utilizing fine-grained quantitative scoring.",
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"tags": ["LLM Ops", "Evaluation", "Python", "HuggingFace"]
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},
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"ai2": {
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"title": "Optimized Inference Engine",
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"description": "High-throughput deployment setup for Llama-3 models using vLLM, DeepSpeed, and custom AWQ/GPTQ quantization strategies, cutting costs by 45%.",
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"tags": ["Inference", "vLLM", "Quantization", "Docker"]
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},
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"ai3": {
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"title": "Agentic RAG System",
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"description": "Multi-agent search and retrieval system built for processing complex Persian legal and technical archives, featuring semantic reranking and feedback loops.",
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"tags": ["RAG", "Agents", "LangChain", "VectorDB"]
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},
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"ai4": {
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"title": "Data-Centric AI Preprocessor",
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"description": "A parallelized pipeline for crawling, deduplicating, and quality-filtering massive web corpora to prepare high-quality pretraining data for Persian LLMs.",
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"tags": ["Data Engineering", "Ray", "NLP", "FastAPI"]
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},
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"ai5": {
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"title": "Dialectal Speech Recognition",
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"description": "Finetuning and deploying Whisper models adapted to regional Persian dialects, incorporating custom acoustic filtering and background noise reductions.",
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"tags": ["Speech", "Whisper", "PyTorch", "Gradio"]
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},
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"web1": {
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"title": "Teknav Platform Design",
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"description": "Complete brand redesign and frontend development for Teknav, focusing on publication readability, dark mode, and high-performance server rendering.",
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"tags": ["UI/UX", "Next.js", "Tailwind CSS", "Framer Motion"]
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},
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"web2": {
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"title": "FinTech Startup Dashboard",
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"description": "Clean, premium data dashboard and brand identity for a modern venture capital and equity management platform, styled for maximum user trust.",
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"tags": ["Branding", "React", "Chart.js", "Figma"]
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},
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"web3": {
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"title": "Editorial MDX Template",
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"description": "A high-performance, minimalist blogging and publishing template built for academic researchers, featuring math layout capabilities and fast load times.",
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"tags": ["Open Source", "MDX", "Tailwind CSS", "SEO"]
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},
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"web4": {
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"title": "SaaS Cloud Landing Page",
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"description": "High-conversion marketing site featuring custom WebGL background mesh and complex interactive animations for an enterprise cloud service provider.",
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"tags": ["Frontend", "Next.js", "WebGL", "Framer Motion"]
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},
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"web5": {
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"title": "Digital Art Studio Site",
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"description": "Immersive web experience and brand assets for a creative art collective, incorporating responsive layouts and smooth scroll timelines.",
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"tags": ["Branding", "CSS Grid", "Interactivity", "Vite"]
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}
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}
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},
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"Writing": {
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"title": "Writing & Publications",
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"subtitle": "Sharing insights and analysis with the developer community",
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"stats": "Teknav Profile Highlights",
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"featured": "Featured Article",
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"readMore": "Read full article",
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"viewProfile": "View Teknav Profile",
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"articles": {
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"art1": {
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"title": "The Anatomy of Frontier Models: Quantitative Evaluation Strategies",
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"date": "May 2026",
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"views": "14.2k views",
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"desc": "An in-depth review of methodologies for benchmarking large models, addressing biases in translation and cultural context for multilingual applications."
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},
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"art2": {
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"title": "Optimizing Inference for Large Language Models at Scale",
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"date": "March 2026",
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"views": "18.8k views",
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"desc": "How quantization, key-value caching, and batching scheduling (vLLM) solve hardware constraints and latency bottlenecks in production AI systems."
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},
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"art3": {
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"title": "Data-Centric AI: Why Better Data Beats Bigger Models",
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"date": "January 2026",
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"views": "11.5k views",
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"desc": "Focusing on data quality, curation, and automated synthetic data generation as the primary levers for improving LLM reasoning capability."
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}
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}
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},
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"Contact": {
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"title": "Get In Touch",
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"subtitle": "Let's collaborate on the future of AI and Web Design",
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"lead": "I am always open to discussing research collaborations, LLM pipeline optimizations, editorial web design projects, or speaking opportunities.",
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"links": {
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"telegram": "Telegram Channel",
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"instagram": "Instagram Profile",
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"teknav": "Teknav Profile",
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"email": "Email Address",
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"domain": "Personal Domain"
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}
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},
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"Footer": {
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"rights": "All rights reserved.",
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"builtWith": "Designed with rigor, coded with precision."
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}
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}
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