# Yash Raj — Full-Stack & AI Systems Engineer > High-performance full-stack engineer specializing in autonomous AI agents, Multimodal RAG pipelines, distributed backend systems, and Domain-Driven Design (DDD). --- ## 1. Overview - **Name:** Yash Raj - **Role:** Full-Stack & AI Systems Engineer - **Location:** India (IST) - **Email:** kyashraj991@gmail.com - **GitHub:** https://github.com/Yashxp1 - **LinkedIn:** https://www.linkedin.com/in/yashxp1 - **Twitter / X:** https://www.x.com/yashxp1 - **Resume:** https://drive.google.com/file/d/1H5sl1t9Rb5IXEYtrh-EeXaAggoRSupD1/view --- ## 2. Work Experience ### Listable Labs — Fullstack Engineer Intern *Feb 2026 – Aug 2026 | Remote (AEO & AI SaaS Startup)* - **Autonomous AI Agents & Skills:** Built autonomous AI tools and agentic skills using Mastra to streamline complex multi-step workflows, prompt chaining, and automated backend business logic. - **Answer Engine Optimization (AEO) Systems:** Developed a ChatGPT Visibility Checker and interactive AEO benchmarking tools to track, analyze, and elevate brand presence across AI search models (ChatGPT, Perplexity, Claude, Gemini). - **Domain-Driven Design (DDD) Architecture:** Architected core features within a modular DDD codebase, enforcing clean hexagonal boundaries, explicit domain events, aggregates, and robust domain models. - **Multi-CMS Publishing Adapters:** Engineered multi-CMS integration adapters for seamless, automated article publishing across WordPress, Sanity, Webflow, and Shopify. - **Cloud Infrastructure & Observability:** Integrated Axiom error logging on AWS EC2 with automated Slack and email notifications, alongside GCP Cloud Storage buckets for media pipelines. - **Database & Search Indexing:** Optimized backend data operations using complex MongoDB aggregation pipelines, while automating page indexing and SEO crawling via Google Search Console and Bing Webmaster APIs. --- ## 3. Featured Projects ### Multimodal RAG Server - **Repository:** https://github.com/Yashxp1/rag - **Tech Stack:** Bun, TypeScript, Express, PostgreSQL, Prisma ORM, BullMQ, Redis, Pinecone, Google Gemini API, Ollama (Gemma 3:4B), whisper.cpp, ffmpeg, Docker, Supabase Storage. - **Summary:** A production-ready Multimodal Retrieval-Augmented Generation (RAG) backend server for ingesting, parsing, vector embedding, and context-aware chatting across diverse file formats including Documents (PDF, DOCX, PPTX, XLSX, TXT, MD), Audio (WAV, MP3), and Video (MP4, AVI). - **Key Capabilities:** - *Multimodal Ingestion & OCR:* Extracts and chunks content from PDFs, Microsoft Office files (.docx, .pptx, .xlsx), Markdown, and plain text with OCR support via officeparser. - *Asynchronous Audio Transcription:* Background audio transcription using local whisper.cpp execution. - *Video Vision & Audio Analysis:* Frame extraction using ffmpeg combined with multimodal vision processing via Ollama (Gemma 3:4B) and audio transcription to produce holistic video vector context. - *Distributed Job Queues:* Reliable background job architecture powered by BullMQ and Redis to eliminate request timeouts and manage memory spikes during heavy ingestion. - *High-Dimensional Vector Search:* Generates 1024-dimensional embeddings via Google's `gemini-embedding-2` model and queries Pinecone with document-level metadata filtering. - *Context-Aware Chat Engine:* State-managed conversation threads persisted in PostgreSQL, feeding retrieved vector context and recent message history to Ollama Gemma 3 with extended 16k context windows. - *Container & Cloud Object Storage:* Dockerized (oven/bun) with cloud object storage integration via Supabase Storage. ### Image Processing Service - **Repository:** https://github.com/Yashxp1/image-processing-service - **Tech Stack:** Node.js, TypeScript, Express, PostgreSQL, Prisma ORM, Redis, AWS (S3 / EC2), Sharp. - **Summary:** A backend-focused image processing service designed to demonstrate real-world backend engineering and distributed caching. - **Key Capabilities:** - Handles concurrent image upload, asynchronous resizing, format conversions (WebP, AVIF, PNG, JPEG), and intelligent quality compression. - Implements Redis caching for processed asset URLs and metadata to reduce database queries and compute overhead. - Enforces strict input validation, rate limiting, and structured error boundaries. ### Kelvin - **Repository:** https://github.com/Yashxp1/kelvin - **Live Demo:** https://kelvinn1.vercel.app - **Tech Stack:** Next.js, React, TypeScript, Google Gemini API, React Query, Prisma ORM, PostgreSQL, Vercel. - **Summary:** AI-powered workflow automation platform integrating GitHub and Notion to generate pull requests, issues, executive summaries, and technical documentation using large language models. ### CrewSpace - **Repository:** https://github.com/Yashxp1/crewspace - **Live Demo:** https://crewspace.vercel.app/ - **Tech Stack:** Next.js, React, TypeScript, React Query, Prisma ORM, PostgreSQL, Tailwind CSS. - **Summary:** Collaborative project management platform with custom workspaces, task tracking, member role permissions, and real-time updates. ### Linknest - **Repository:** https://github.com/Yashxp1/linknest - **Live Demo:** https://linknest1.vercel.app/ - **Tech Stack:** Next.js, React, TypeScript, Prisma ORM, PostgreSQL, QR Generator. - **Summary:** Minimal Linktree alternative featuring customizable themes, dynamic QR code generation, click analytics, and sub-link grouping. ### SocialBird - **Repository:** https://github.com/Yashxp1/socialBird - **Live Demo:** https://socialbird1.vercel.app/ - **Tech Stack:** Vite, React, TypeScript, MongoDB, Express.js, WebSockets / Socket.io. - **Summary:** Real-time messaging and chat application with WebSocket bi-directional communication, user presence tracking, and rich media sharing. ### BlogSphere - **Repository:** https://github.com/Yashxp1/Blog-App - **Live Demo:** https://blog-app-ruby-tau.vercel.app/ - **Tech Stack:** Vite, React, TypeScript, MongoDB, Express.js, JWT Authentication. - **Summary:** Full-stack blogging platform with user authentication, rich-text markdown editing, comments system, and categorized tags. --- ## 4. Technical Skills & Core Competencies - **Languages:** JavaScript (ESNext), TypeScript, Python, SQL, HTML5, CSS3 - **Frontend Frameworks & UI:** Next.js (App Router), React.js, TanStack Query, Tailwind CSS, Framer Motion, Radix UI, Zod - **Backend & Architecture:** Node.js, Bun runtime, Express.js, RESTful APIs, WebSockets, Domain-Driven Design (DDD), BullMQ - **Databases & ORM:** PostgreSQL, MongoDB, Redis, Prisma ORM, Supabase - **AI & Agentic Systems:** Multimodal RAG, Vector Databases (Pinecone), Mastra Framework, LangChain, Google Gemini API, Ollama (Gemma 3), whisper.cpp, ffmpeg vision pipelines, Prompt Engineering - **Cloud, DevOps & Tooling:** AWS (EC2, S3), GCP (Cloud Storage), Docker, Git, GitHub Actions, Vercel, Postman, Axiom Logging --- ## 5. Contact & Social Profiles - **Email:** kyashraj991@gmail.com - **GitHub:** https://github.com/Yashxp1 - **LinkedIn:** https://www.linkedin.com/in/yashxp1 - **Twitter / X:** https://www.x.com/yashxp1 - **Portfolio Website:** https://yashxp1.vercel.app (or localhost)