arsam-port/messages/en.json

{
  "Metadata": {
    "title": "Arsam Sabbagh — AI Researcher & LLM Engineer",
    "description": "Portfolio of Arsam Sabbagh. Senior AI Researcher, LLM Engineer, and Web Designer (Coaxys). Focuses on LLM pipelines, inference optimization, and editorial design."
  },
  "Header": {
    "nav": {
      "about": "About",
      "expertise": "Expertise",
      "projects": "Projects",
      "writing": "Writing",
      "contact": "Contact"
    }
  },
  "Hero": {
    "tagline": "AI Researcher. LLM Engineer. Web Designer.",
    "ctaWork": "View My Work",
    "ctaWriting": "Read My Writing",
    "scroll": "Scroll to explore"
  },
  "About": {
    "title": "About Me",
    "subtitle": "At the intersection of rigor and design",
    "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.",
    "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.",
    "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."
  },
  "Stats": {
    "articles": "Articles Published",
    "views": "Total Article Views",
    "reactions": "Reader Reactions"
  },
  "Expertise": {
    "title": "Core Expertise",
    "subtitle": "Two disciplines, one standard of excellence",
    "aiTitle": "AI & LLM Engineering",
    "aiSubtitle": "Researching, optimizing, and deploying frontier models",
    "webTitle": "Web Development & Design",
    "webSubtitle": "Building high-performance editorial interfaces (Coaxys)",
    "aiItems": [
      "Large Language Model pipeline design & orchestrations",
      "Inference Optimization (vLLM, TensorRT-LLM, quantization)",
      "Quantitative evaluation & benchmarking of Frontier Models",
      "Data engineering & preprocessing at industrial scale",
      "Agentic systems & multi-agent deployment workflows",
      "Data-centric AI and machine learning research"
    ],
    "webItems": [
      "Modern frontend architecture (React, Next.js, TypeScript)",
      "Editorial-grade UI/UX design & interactive prototypes",
      "Clean brand identity & typography for tech products",
      "Performance-focused web design for startups",
      "Smooth micro-animations & layout engineering"
    ]
  },
  "Projects": {
    "title": "Selected Work",
    "subtitle": "A collection of research contributions and visual designs",
    "tabAll": "All Projects",
    "tabAi": "AI & Research",
    "tabWeb": "Web & Design (Coaxys)",
    "viewProject": "View Project",
    "aiLabel": "AI & Research Projects",
    "webLabel": "Web & Design Projects",
    "list": {
      "ai1": {
        "title": "LLM Evaluation Harness",
        "description": "A custom automated benchmarking pipeline for evaluating LLMs on Persian and multilingual reasoning tasks, utilizing fine-grained quantitative scoring.",
        "tags": ["LLM Ops", "Evaluation", "Python", "HuggingFace"]
      },
      "ai2": {
        "title": "Optimized Inference Engine",
        "description": "High-throughput deployment setup for Llama-3 models using vLLM, DeepSpeed, and custom AWQ/GPTQ quantization strategies, cutting costs by 45%.",
        "tags": ["Inference", "vLLM", "Quantization", "Docker"]
      },
      "ai3": {
        "title": "Agentic RAG System",
        "description": "Multi-agent search and retrieval system built for processing complex Persian legal and technical archives, featuring semantic reranking and feedback loops.",
        "tags": ["RAG", "Agents", "LangChain", "VectorDB"]
      },
      "ai4": {
        "title": "Data-Centric AI Preprocessor",
        "description": "A parallelized pipeline for crawling, deduplicating, and quality-filtering massive web corpora to prepare high-quality pretraining data for Persian LLMs.",
        "tags": ["Data Engineering", "Ray", "NLP", "FastAPI"]
      },
      "ai5": {
        "title": "Dialectal Speech Recognition",
        "description": "Finetuning and deploying Whisper models adapted to regional Persian dialects, incorporating custom acoustic filtering and background noise reductions.",
        "tags": ["Speech", "Whisper", "PyTorch", "Gradio"]
      },
      "web1": {
        "title": "Teknav Platform Design",
        "description": "Complete brand redesign and frontend development for Teknav, focusing on publication readability, dark mode, and high-performance server rendering.",
        "tags": ["UI/UX", "Next.js", "Tailwind CSS", "Framer Motion"]
      },
      "web2": {
        "title": "FinTech Startup Dashboard",
        "description": "Clean, premium data dashboard and brand identity for a modern venture capital and equity management platform, styled for maximum user trust.",
        "tags": ["Branding", "React", "Chart.js", "Figma"]
      },
      "web3": {
        "title": "Editorial MDX Template",
        "description": "A high-performance, minimalist blogging and publishing template built for academic researchers, featuring math layout capabilities and fast load times.",
        "tags": ["Open Source", "MDX", "Tailwind CSS", "SEO"]
      },
      "web4": {
        "title": "SaaS Cloud Landing Page",
        "description": "High-conversion marketing site featuring custom WebGL background mesh and complex interactive animations for an enterprise cloud service provider.",
        "tags": ["Frontend", "Next.js", "WebGL", "Framer Motion"]
      },
      "web5": {
        "title": "Digital Art Studio Site",
        "description": "Immersive web experience and brand assets for a creative art collective, incorporating responsive layouts and smooth scroll timelines.",
        "tags": ["Branding", "CSS Grid", "Interactivity", "Vite"]
      }
    }
  },
  "Writing": {
    "title": "Writing & Publications",
    "subtitle": "Sharing insights and analysis with the developer community",
    "stats": "Teknav Profile Highlights",
    "featured": "Featured Article",
    "readMore": "Read full article",
    "viewProfile": "View Teknav Profile",
    "articles": {
      "art1": {
        "title": "The Anatomy of Frontier Models: Quantitative Evaluation Strategies",
        "date": "May 2026",
        "views": "14.2k views",
        "desc": "An in-depth review of methodologies for benchmarking large models, addressing biases in translation and cultural context for multilingual applications."
      },
      "art2": {
        "title": "Optimizing Inference for Large Language Models at Scale",
        "date": "March 2026",
        "views": "18.8k views",
        "desc": "How quantization, key-value caching, and batching scheduling (vLLM) solve hardware constraints and latency bottlenecks in production AI systems."
      },
      "art3": {
        "title": "Data-Centric AI: Why Better Data Beats Bigger Models",
        "date": "January 2026",
        "views": "11.5k views",
        "desc": "Focusing on data quality, curation, and automated synthetic data generation as the primary levers for improving LLM reasoning capability."
      }
    }
  },
  "Contact": {
    "title": "Get In Touch",
    "subtitle": "Let's collaborate on the future of AI and Web Design",
    "lead": "I am always open to discussing research collaborations, LLM pipeline optimizations, editorial web design projects, or speaking opportunities.",
    "links": {
      "telegram": "Telegram Channel",
      "instagram": "Instagram Profile",
      "teknav": "Teknav Profile",
      "email": "Email Address",
      "domain": "Personal Domain"
    }
  },
  "Footer": {
    "rights": "All rights reserved.",
    "builtWith": "Designed with rigor, coded with precision."
  }
}