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There is a specific kind of failure that costs more than money. A healthcare platform that leaks patient data does not just lose a fine. It loses the trust of people who came to it vulnerable. A SaaS product launched without proper security does not just ship a bug. It ships a liability. A WordPress project handed off without documentation does not just create technical debt. It creates dependency. I have spent five years preventing these failures across 20+ production systems, verified by Prowler, Checkov, Trivy and SonarQube. Before I was an engineer I was a Physiotherapy Technologist with four years of clinical practice. I know if a clinic what happens when a system fails a real patient. That background changes every architectural decision I make on a healthcare platform. ───────────────────────────────────────── WHAT I BUILD ───────────────────────────────────────── Healthcare and HIPAA platforms: telemedicine systems, dental clinic applications, patient portals and AI chatbots built with HIPAA 2026, FHIR R4, GDPR and SOC 2 Type II enforced in the architecture and verified by automated scans before delivery. PHI encryption, audit logging, breach detection and RBAC are the foundation, not an afterthought. AI and RAG systems: LightRAG knowledge graph pipelines, n8n automation workflows, multi-provider AI with Claude, Gemini and GPT-4, HIPAA-compliant chatbots with hallucination detection, PII scrubbing, zero-trust authentication and full observability via Prometheus, Grafana and Loki. Cloud and DevOps: AWS, GCP and Azure simultaneously. Kubernetes on AKS and EKS, Terraform, GitHub Actions CI/CD, zero-cost idle architecture at $2 per month versus $300 per month on traditional infrastructure. Full stack SaaS: React 18, Next.js, Node.js, Python FastAPI, TypeScript, Supabase, PostgreSQL with RLS and pgcrypto, Stripe billing, multi-tenant architecture, Android apps via Capacitor. 756 automated test assertions on flagship projects. WordPress and Shopify: custom PHP plugin development from scratch using OOP PHP 8.1 and PSR-4, headless WordPress with React via WPGraphQL and WooCommerce, Shopify Plus with Hydrogen, Shopify Functions in Rust and WASM, custom Remix apps on Cloudflare Workers, Contentful, Strapi, Elementor and ACF Pro. ADA and WCAG 2.1 AA remediation delivered for a real client in USA. ───────────────────────────────────────── SELECTED PROJECTS ───────────────────────────────────────── MediConnect V3: tri-cloud telemedicine, 7 microservices, HIPAA/GDPR/FHIR R4, 756 tests, $2/month idle. RAG Production Stack: 23 containers, zero-trust, 6 compliance scanners, full observability. Chronos: headless WooCommerce and React, custom PHP plugin, WordPress 7.0 AI integration. EquipCert AI: OSHA inspection SaaS, multi-AI, offline-first, GPS evidence, Stripe 3-tier billing. RegenAI: Shopify Plus, Hydrogen, Rust/WASM Functions, custom Remix app, compliance-as-code CI. Groza Learning Center: real client, Los Angeles. ADA/GDPR remediation, 100+ errors fixed, zero theme modifications. Yuktha Wellness: real client. Full production RAG audit, LangChain, Pinecone, phased delivery plan. EDS Dental: live clinic platform, HIPAA 95%, FHIR R4 100%, bilingual PWA on Cloudflare Pages. HealthCode Analysis: WordPress automation engine, 313 tests, Cloudflare Workers AI chatbot. EmailFinder, n8n Workflows, Agency Platform, Medical Clinic Hub and more on my portfolio. ───────────────────────────────────────── HOW I WORK ───────────────────────────────────────── I do not disappear mid-project. I raise blockers early instead of going quiet. You get accurate progress updates, not comfortable ones. Every delivery includes full source code ownership, complete documentation, and architecture clean enough to hand to any future engineer without confusion. Small WordPress fix or large HealthTech platform, I treat every project with the same standard. If I say I will deliver it, I deliver it. ───────────────────────────────────────── WHO I WORK WITH ───────────────────────────────────────── Healthcare platforms that cannot afford compliance failures. SaaS founders who need it built correctly the first time. Agencies managing complex deployments. Businesses automating workflows with AI. WordPress and Shopify agencies needing real engineering depth. Developers with large backlogs who need a reliable build partner. ───────────────────────────────────────── ETHICAL BOUNDARIES ───────────────────────────────────────── I do not accept projects involving interest-based finance (Riba), conventional insurance, gambling, adult content, or any Haram activity. This is non-negotiable and applies to all work without exception. ───────────────────────────────────────── If your project needs someone who understands both the engineering and what the system is actually for, send me a message. I respond within a few hours. Let's build something that actually works.

I'm Full Stack Software Engineer and System Architect with over 15 years of hands-on experience. 🚀 𝗪𝗵𝗮𝘁 𝗜 𝗛𝗲𝗹𝗽 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗗𝗼: ✔ Automate operations using AI (Claude, MCP, AI workflows, integrations) ✔ Build SaaS platforms from idea to production ✔ Replace manual processes with smart systems 𝐓𝐮𝐫𝐧 𝐲𝐨𝐮𝐫 𝐀𝐈 𝐢𝐝𝐞𝐚 𝐢𝐧𝐭𝐨 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐲𝐬𝐭𝐞𝐦, while you stay focused on growth. Have a vision for an AI Agent, RAG-powered assistant, or intelligent automation pipeline but 𝒅𝒐𝒏'𝒕 𝒌𝒏𝒐𝒘 𝒘𝒉𝒆𝒓𝒆 𝒕𝒐 𝒔𝒕𝒂𝒓𝒕? Let's talk, I offer a 𝐟𝐫𝐞𝐞 𝟑𝟎-𝐦𝐢𝐧𝐮𝐭𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐜𝐚𝐥𝐥 📞 to map your first steps and answer your hardest questions. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 I architect and ship AI-powered products that integrate cleanly into your existing stack. From multi-agent orchestration with LangGraph and Claude MCP servers to semantic search pipelines and real-time AI dashboards, I focus on systems that work in production, not just in demos. 🧩 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 — 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐌𝐂𝐏: Claude MCP servers, multi-agent workflows, autonomous task orchestration, LangChain, LangGraph, LlamaIndex, LangSmith — 𝐑𝐀𝐆 & 𝐆𝐞𝐧𝐀𝐈: Retrieval-Augmented Generation, semantic search, vector databases, OpenAI GPT-4o, Gemini, Mistral, HuggingFace, Stable Diffusion — 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Azure AI, AWS (Bedrock, SageMaker, Lambda), GCP, Docker, CI/CD pipelines — 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: n8n, API-based workflow automation, SaaS integrations, business process optimization — 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐍𝐋𝐏: YOLO, Mask R-CNN, OpenCV, NLP pipelines, speech-to-text systems — 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐀𝐩𝐩𝐬: Python FastAPI, Node.js, .NET Core backends · React, Angular, Blazor frontends 💡 𝐌𝐲 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 1. 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 — Understand your goals, data constraints, and user needs 2. 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 — Select the right models, agent frameworks, and RAG pipelines 3. 𝐁𝐮𝐢𝐥𝐝 — Develop and integrate AI features into your product or platform 4. 𝐃𝐞𝐩𝐥𝐨𝐲 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫 — Ship to production with observability, evals, and iteration loops If you're building the next generation of AI-driven products, I'll help you architect, build, and scale it, right. 📅 𝐋𝐞𝐭'𝐬 𝐬𝐜𝐡𝐞𝐝𝐮𝐥𝐞 a call to explore how AI Agents and RAG can transform your project.

Do you need an AI SaaS developer or full-stack engineer to build scalable AI-powered web applications or integrate Generative AI into your product? I help startups and companies build AI SaaS platforms, RAG systems, and full-stack applications using OpenAI, LangChain, React, and Node.js. My focus is on turning ideas into production-ready, scalable systems with clean architecture and real-world reliability. Most recently, I built Eduly AI, an AI-powered education platform that I designed and developed end-to-end using OpenAI, LangChain, and modern full-stack technologies. This experience reflects my approach: not just building features, but engineering complete systems that actually work in production. 🔧 What I Build * AI chatbots, RAG systems, and knowledge assistants (OpenAI, LangChain, vector databases) * AI SaaS platforms and dashboards (React, Next.js, Node.js) * AI integrations into existing products and workflows * Scalable backend APIs and real-time systems (Node.js, WebSockets, AWS) * Python-based AI services (FastAPI, LangChain agents) 🏆 Selected Work * Eduly AI - End-to-end AI SaaS platform for education * AI Knowledge Assistant - LangChain + vector search chatbot for document retrieval * SaaS automation and backend systems with scalable architecture ✅ Why Work With Me * Proven experience building and shipping AI SaaS products * Strong balance of system design, full-stack engineering, and AI integration * Focus on production-ready, scalable, and maintainable solutions If you're building an AI product or need a full-stack AI engineer, feel free to reach out.

👋 My focus is simple: Maximum ROI with zero technical debt. 𝐓𝐡𝐞 𝐕𝐚𝐥𝐮𝐞 𝐈 𝐁𝐫𝐢𝐧𝐠 🔹 I prioritize risk management and ROI over "just building features." 🔹 Maintainable, well-documented codebases designed to scale with your business growth. 🔹 I leverage "Vibe Coding" to turn complex requirements into production ready solutions in days or weeks. 🔹 4x AWS Certified expertise ensures that speed never compromises security or scalability. 🔹 From initial system design to final DevOps deployment and monitoring. 𝐓𝐡𝐞 𝐀𝐈-𝐅𝐢𝐫𝐬𝐭 𝐀𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 🔹 Rapid Prototyping: Using Cursor, Codex, Lovable, v0, and Claude Code to slash development cycles. 🔹 Intelligent Systems: Expertise in building RAG architectures, AI chatbots, and multi-agent workflows (n8n/Make/Flowwise). 𝐌𝐲 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 🔹 AI & Automation: Multi-Agent Systems, RAG, n8n, AI-Powered Apps, Chatbots. 🔹 Vibe Coding Stack: Cursor, Lovable, v0, Replit, Base44, Claude Code. 🔹 Frontend Mastery: Nuxt.js & Vue (6+ Years), Next.js, React, Tailwind CSS. 🔹 Backend Excellence: Python (FastAPI, Flask), Node.js (NestJS), Laravel. 🔹 Cloud & DevOps: AWS (4x Certified), Docker, Kubernetes, Prometheus, GCP. 🔹 Key Integrations: Stripe, WebSockets, Real-time systems, Google Maps API. 𝐓𝐡𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 & 𝐇𝐚𝐧𝐝𝐨𝐟𝐟 🔹 I consult on the best tools and architectural approach for your specific goals. 🔹 Regular communication and clear milestones to keep the project on track. 🔹 Every delivery includes written and video documentation, ensuring your team can manage and expand the system with ease. 𝙔𝙤𝙪𝙧 𝙫𝙞𝙨𝙞𝙤𝙣, 𝙢𝙮 𝙘𝙤𝙙𝙚. 𝙇𝙚𝙩’𝙨 𝙘𝙧𝙚𝙖𝙩𝙚 𝙨𝙤𝙢𝙚𝙩𝙝𝙞𝙣𝙜 𝙚𝙭𝙩𝙧𝙖𝙤𝙧𝙙𝙞𝙣𝙖𝙧𝙮! Cheers, Arif

𝗕𝗶𝗼𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗼𝗻𝘁𝗼𝗹𝗼𝗴𝘆 & 𝐆𝐫𝐚𝐩𝐡-𝐑𝐀𝐆 𝐍𝐞𝐨𝟒𝐣 | 𝗖𝘆𝗽𝗵𝗲𝗿 𝗔𝗴𝗲𝗻𝘁 | 𝗣𝗶𝗽𝗲𝗰𝗮𝘁 | 𝐀𝐳𝐮𝐫𝐞 𝐒𝐞𝐚𝐫𝐜𝐡 | 𝗥𝗮𝗴 𝗙𝘂𝘀𝗶𝗼𝗻 | 𝗥𝗲-𝗿𝗮𝗻𝗸𝗶𝗻𝗴 | 𝗦𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗖𝗮𝗰𝗵𝗶𝗻𝗴 | 𝐋𝐚𝐭𝐞 𝐂𝐡𝐮𝐧𝐤𝐢𝐧𝐠 | 𝐓𝐨𝐆 (𝐓𝐡𝐢𝐧𝐤-𝐎𝐧-𝐆𝐫𝐚𝐩𝐡) | 𝗥𝗔𝗚 𝗘𝘃𝗮𝗹 | 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐆𝐫𝐚𝐩𝐡 𝐀𝐏𝐈 I specialize in developing RAG and AI Agent systems with 15+ years of full-stack experience using LangChain, LangGraph, FastAPI, and vector databases (Qdrant, Pinecone, FAISS etc). For data ingestion, I build end-to-end pipelines supporting multi-format sources (PDF, DOCX, CSV, Excel, websites), structured cleaning with spaCy, Textacy & CleanText, web scraping via Playwright, BeautifulSoup & Jina Reader, Overlap Late Chunking for retrieval accuracy, and Microsoft Graph API integration for SharePoint/OneDrive across Microsoft 365.I also build real-time Voice AI agents using Pipecat with full STT → LLM → TTS streaming pipelines. My retrieval expertise covers Re-ranking (Cohere, FlashRank, Jina), dense/sparse/hybrid search, RAG Fusion, Semantic Caching, contextual compression, custom output parsers, LLM Token tracing, and RAGAS-based evaluation. I am a 𝐍𝐞𝐨𝟒𝐣 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 specializing in Graph RAG, graph data modeling, Cypher queries, and domain ontology alignment. For graph ingestion, I have developed knowledge graph pipelines using GraphTransformers and NLP libraries for entity & relation extraction, aligned with domain-specific ontologies. For graph retrieval, I have implemented Graph Traversal, vector search, Think-On-Graph (ToG) reasoning, and Cypher Agents (generation, validation, correction, execution) leveraging LLMs for answers. Front End experience with TypeScript, Vue.js Composition API, Quasar Framework. I have a sharp eye for detail and quality and have experience of Software Reengineering. I am a self motivated individual who is both deadline focused and thorough in my approach to work. -------------------𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐋𝐋𝐌 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭------------------- 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐑𝐀𝐆 & 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 • Implemented RAG with multiple data formats (PDF, DOCX, CSV, Excel, TXT, websites etc.) • Enhanced retrieval techniques using RAG Fusion with multiple re-rankers (Cohere, FlashRank, Jina) • Applied optimization strategies like Prompt Caching, Semantic Caching with vector databases • Context-aware chunking is implemented by "Overlap Late Chunking" to improve retrieval accuracy • Conducted RAG evaluations using RAGAS for quality assessment and benchmarking • Built structured web scraping and cleaning pipelines using Playwright, BeautifulSoup, Jina Reader, Textacy, CleanText, spaCy etc. • Implemented dense, sparse, and hybrid search for advanced similarity search and optimal retrieval • Implemented LLM Token Tracing for monitoring LLM cost per user • Implemented custom output parsers for specialized formatting • Integrated Microsoft Graph API to fetch and process data from SharePoint and OneDrive across Microsoft 365 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐆𝐫𝐚𝐩𝐡 & 𝐆𝐫𝐚𝐩𝐡𝐑𝐀𝐆 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 • Built Neo4j GraphRAG system with Graph Traverse and vector search capabilities • Created knowledge graphs aligned with domain-specific ontologies including bio-medical Ontology, using transformers, custom logic and detailed instruction-based prompts. • Developed Cypher Agents with LangGraph for Cypher generation, validation, correction, and execution • MS GraphRAG solutions with LanceDB and Parquet files, search and Indexing ,incremental indexing. • Successfully migrated MS GraphRAG Parquet files to Neo4j (KG) database systems 𝐋𝐋𝐌 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 • Designed LangGraph Agent architectures for multi-step reasoning workflows • Built multi-agent systems with specialized roles • Applied advanced prompt engineering with few-shot learning and context window optimization • Developed real-time Voice AI agents using Pipecat for low-latency conversational interactions • Implemented streaming speech-to-text → LLM reasoning → text-to-speech pipelines 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 • Backend Development: Python, FastAPI for scalable services • Vector Database Integration: Qdrant, Faiss, LanceDB for efficient similarity search • Hybrid Application Development: Cross-platform solutions with Quasar Framework • Mobile Application Development: Expertise with Capacitor and Electron frameworks 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: - 𝐀𝐈/𝐋𝐋𝐌: Langchain, LangGraph, LlamaIndex, OpenAI, Claude - 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: Neo4j, Qdrant, FAISS, LanceDB, Pinecone, Chroma - 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈: Pipecat, Real-time Voice Agents, STT/TTS streaming pipelines - 𝐖𝐞𝐛 𝐂𝐫𝐚𝐰𝐥𝐢𝐧𝐠: FireCrawl, Jina, Puppeteer, Scrapy, Playwright, Beautiful Soup - 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Llama Parse, Document Loaders, spaCy, Textacy

🚀 Stop the "Vibe Loop." Get Your AI-Generated MVP Production-Ready. Did you build an impressive prototype with Bolt.new, Lovable, v0, or Cursor, only to hit a wall? AI is great at generating "vibes," but it often fails at complex logic, secure auth, and scalable architecture. With over 10 years of Software Engineering and DevOps experience, I specialize in Agentic Recovery. I bridge the gap between AI-generated prototypes and professional, enterprise-grade software. I don't just fix the code; I re-architect the system for long-term stability. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🛠️ THE "VIBE CODING" RECOVERY SUITE I step in when your AI agents start hallucinating or breaking existing features. My expertise includes: • Logic Refactoring: Fixing broken API loops and state management issues in AI-generated React/Next.js and Flutter apps. • Database Integrity: Migrating messy AI schemas into structured, high-performance Supabase or PostgreSQL environments. • Agentic Workflows: Implementing professional-grade AI chains using LangGraph, CrewAI, and OpenAI SDKs that actually work in production. • Infrastructure & DevOps: Moving apps out of "sandbox" editors and into robust AWS/GCP/Vercel pipelines with Docker and CI/CD. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🤖 ADVANCED AI & LLM STACK I utilize the same tools you do—but with a decade of engineering discipline: • Agentic Tools: Cursor, Windsurf, Claude Code, and Replit Agent. • LLM Orchestration: LangChain and RAG integration (Pinecone/Weaviate/Supabase). • Open Source: Deploying and fine-tuning Llama 3.1 & Mistral on private infrastructure. • Computer Vision: Real-time analysis using OpenCV and MediaPipe. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💎 WHY SENIOR EXPERIENCE MATTERS ✨ 10+ Years of Depth: I understand *why* the code works, not just *that* it works. I eliminate technical debt before it kills your startup. ✨ DevOps DNA: I ensure your app is secure, encrypted (SSL/TLS), and load-balanced from day one. ✨ Human-Verified Code: Every line of AI-assisted code is audited for security vulnerabilities and performance bottlenecks. ✨ SaaS Founder Perspective: I focus on your Time-to-Market and ROI, ensuring your "vibe" becomes a viable business. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🛣️ THE RECOVERY ROADMAP 1️⃣ Audit: I analyze your current "Vibe" codebase to identify where the AI failed. 2️⃣ Stabilization: I fix critical bugs preventing users from signing up or paying. 3️⃣ Hardening: I implement proper Auth, Middleware, and Database constraints. 4️⃣ Scaling: I set up professional DevOps/Cloud hosting for a global launch. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💬 READY TO MOVE BEYOND THE PROTOTYPE? If your AI-built app is 90% there but the last 10% is keeping you up at night, let’s talk. I’ll turn your "vibe" into a scalable, production-ready system. 📩 Click 'Send Message' or 'Invite' to get started! 📍 Availability: 30+ hours/week (Flexible for global timezones) 🗣️ Languages: Fluent English, Bengali 🇧🇩