Hire the Best xMatters Specialists

Top Rated AI Marketing Systems Specialist with 7+ years building data, marketing, and AI systems If you shoot me an invitation or message I'll send you exactly how I'd approach your problem before you decide whether to hire me. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: 𝟏. Cold Outbound + GTM Lead Generation Automation: Build your B2B lead gen + CRM + AI-powered outbound system: Clay + Instantly + Attio + Apollo + n8n + LinkedIn (Aimfox / Sales Navigator) + cold-email infrastructure. Currently Fractional GTM Engineer for a European-based seed-stage B2B SaaS founder. 𝟐. Conversion Tracking & Attribution: GA4 + Google Tag Manager (GTM) + Meta Pixel + Meta Conversion API (CAPI) server-side + Google Enhanced Conversions + UTM hygiene + dynamic remarketing + CRM ↔ ad-platform attribution loops. 𝟑. Google Ads + Meta Ads Management + Full-Funnel Operator: fractional growth lead running Google Ads, Meta Ads, social media, newsletter, and CRM as one connected operation. 𝟒. Marketing Dashboards & Internal Tools: Looker Studio + Google Sheets + Apps Script + Vercel web apps for agencies and consultants running the same workflow across many clients. 𝟓. AI Content Production: AI video + AI image + UGC + Shorts pipelines (HeyGen + ElevenLabs + CapCut) + bulk SEO article generators (Claude API) + AI graphic design with brand guardrails. 𝟔. Custom AI Agents + LLM Workflows + MCP Servers: Claude Code + Claude API + OpenAI API + agentic workflows + RAG pipelines + chatbots + voice agents + assistants + custom MCP servers + locally-deployed agents (Mac mini, VPS) for founders who want local-first AI. 𝐂𝐚𝐫𝐞𝐞𝐫 𝐡𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 🎯 Analytics Engineer at Bench Accounting (Vancouver fintech, $89M peak revenue, 11,000+ client environments running in parallel) on dbt + SQL + Snowflake 🎯 Business Intelligence Analyst at Noise Digital acquired by Digital Havas Media Group (€2.74B 2024 revenue, 22,610 people, 100+ markets, global big-six). Agency clients: Toyota, Adidas, J&J, Ferrero, PlayStation, A&W, Sun Life Canada 🎯 Fractional go-to-market (GTM) Engineer for a European-based seed-stage B2B SaaS founder 🎯 Fractional Growth Operator for a Manhattan luxury salon-suite brand on Madison Avenue 🎯 Personal brand grown 0 → 350,000 followers in 7 months on a 20-min/day n8n + Python workflow 🎯 Top Rated on Upwork with a 100% Job Success Score · 5.0★ 𝐌𝐲 𝐭𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: - Automation: n8n, Zapier, Make, Python, Apps Script, MCP - AI / LLM: Claude (Code + API), OpenAI / GPT, agentic workflows, RAG, MCP servers, Anthropic SDK - CRM: HubSpot, GoHighLevel, Salesforce, Attio, ActiveCampaign - Tracking & Ads: GA4, Google Tag Manager, Meta Pixel, Meta Conversion API (CAPI) server-side, Google Ads, Meta Ads, Enhanced Conversions, UTM hygiene - Data & Dashboards: Looker Studio, Google Sheets, Airtable, Supabase, dbt, Snowflake, BigQuery - Outbound: Instantly, Clay, Apollo, Smartlead, Sales Navigator, Aimfox 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: - AWS Certified Solutions Architect Associate - AWS Certified Data Analytics Specialty - Google Ads Search Certification 𝐖𝐡𝐲 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐥𝐝 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: 🤝 Quality: When your tracking breaks, I read the logs. When your CAPI loop drops events, I read the docs. Agency "GA4 experts" guess. 🤝 Production-grade, not prototype-grade. I ship reliable, scalable systems built to survive real traffic not demos that fall over week one. 🤝 Strategic operator, not order-taker. Hands-on, autonomous, async-clear comms. I take ownership of the build, no hand-holding required. 🤝 Documented handover, no black box. Playbook+ final handoff Loom. Stop paying me and your system keeps running. Thanks for reading and let's discuss your project! 🥳

I turn messy, fragmented data into decision systems leaders actually trust. 4+ years building BI end-to-end Infrastructure, my edge isn't clicking buttons in a tool, it's the judgment behind every model, metric, and architecture choice. I sit with the ambiguity, ask what your team hasn't, and translate fuzzy business goals into a clear data model and KPI framework that holds up under scrutiny. 🧠 𝗪𝗵𝗲𝗿𝗲 𝗛𝘂𝗺𝗮𝗻 𝗝𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝗕𝗲𝗮𝘁𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 🔹 Ambiguity → Clarity: I define the right questions and metrics before building anything, so you measure what matters, not what's easy. 🔹 Semantic & Data Modeling: Star schemas, slowly-changing dimensions, reconciled grain, single source of truth 🔹 Scalable Architecture: Pipelines and models designed for "Day 2", maintainable, cost-aware, documented, built to grow instead of breaking at scale. 🔹 Context Integration: I unify Stripe, Shopify, Zoho, GA4, Ads platforms, etc. and CRMs into one coherent ecosystem that mirrors how your business actually operates. 🔹 Narrative & Decision Design: Every visual answers a business question and points to an action, analysis a CEO can act on in seconds. ⚙️ 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗧𝗼𝗼𝗹𝗯𝗼𝘅 🔹 BI & Viz: Power BI, Looker Studio, Zoho Analytics, Metabase, Apache Superset, Domo, Databox 🔹 Modeling & Query: SQL, DAX, Power Query (M), Python, dbt, Excel 🔹 Warehousing: BigQuery, Cloud SQL, Snowflake, SQL Server, MySQL, Firebase 🔹 Pipelines & ETL: Make, n8n, Fivetran, Apps Script, Cloud Run, Windsor AI, Coupler IO, Supermetrics 🔹 Sources: Stripe, Shopify, Zoho CRM, GA4, Google/Meta/TikTok Ads, Search Console, etc. 🔹 AI layer (the plus): OpenAI & Claude APIs, Claude Code, Codex, conversational analytics, anomaly detection, predictive models, and agent workflows for automated briefings & alerts 🚀 𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗠𝗲 𝗔𝗽𝗮𝗿𝘁 🔹 Business-first, not tool-first: I start with your objectives and constraints, not your dataset. 🔹 End-to-end ownership: From auditing sources and defining KPIs to modeling, building, and publishing, I run the full lifecycle. 🔹 Transparency: You own your data and infrastructure. I document every step, so nothing is a black box. 🔹 AI as leverage, not a gimmick: I automate the repetitive parts so the strategic parts get more of my attention. ⭐ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝘁𝗮𝘆 🔹 Reliable communication and clear expectations , no micromanagement needed. 🔹 Insights in plain language, for technical and non-technical stakeholders alike. 🔹 Proactive: I diagnose and recommend, not just deliver charts. 🔹 Consistent delivery, on time, with care. 💡 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 If your business generates data but not clarity, let's fix that. I'll design the model, architecture, and dissemination layer that turn your numbers into a durable competitive advantage, clear, scalable, and genuinely yours.

Claude Code & n8n Expert | AI Agents, MCP, LangGraph | Full Stack AI Engineer I build production AI agents and automation systems with Claude Code, MCP servers, OpenClaw, LangGraph, n8n, and full-stack tools. My clients are founders, CTOs, and operators who need systems that survive real traffic — not demos that fall apart at scale. Most AI workflows I'm called in to fix are API wrappers that break under real conditions. Agents looping. Token bills exploding. No evals. No observability. No structured outputs. I build the harness first (budget caps, tool validation, context isolation, retries, evals, structured outputs, prompt caching), then the features. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE EXPERTISE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Engineering with Claude Code Production AI agents and full-stack SaaS using Claude Code as my primary dev environment. React/Next.js frontend, Node.js/Python backend, full type safety (Pydantic/Zod). PostgreSQL, Supabase, AWS. Anthropic API, streaming responses, structured outputs. MCP Server Development Custom MCP servers (Model Context Protocol) with stdio and HTTP transport, tool definitions, structured contracts, permission models. Self-hosted on Railway, Cloudflare Workers. Built in Node.js/TypeScript or Python. OpenClaw & Multi-Agent Orchestration Production multi-agent deployments with OpenClaw, LangGraph, and Pydantic-AI. Current reference: 6 Claude-powered agents on a VPS with FAISS retrieval, structured outputs, evals, cron orchestration, processing 50+ tasks per day. n8n Workflow Automation & AI Orchestration Complex multi-step automation: lead capture, CRM sync, document processing (OCR + LLM verification), content generation pipelines. Production workflows for US clients handling 500+ documents. AI Voice Agents (24/7) – Vapi, Retell.ai, ElevenLabs Inbound/outbound calling agents that answer, qualify, and book appointments directly to calendars. Deployed for real estate and lead-driven businesses. ML Pipelines & MLOps Production ML workflows with Airflow, MLflow, Kubeflow — experiment tracking, model registry, reproducible pipelines. Not just API calls, engineered pipelines. RAG & Hybrid Retrieval Hybrid lexical, vector, and graph retrieval with FAISS, pgvector. Reranking, confidence-aware synthesis. Sub-agents, skills, and autonomous business operations. Full Stack & Mobile Next.js App Router, Server Components, streaming. React Native, Expo for cross-platform mobile. Multi-tenant SaaS with Supabase RLS, Edge Functions. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RECENT WORK (shipped, deployed, live) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Subcontractor Onboarding Portal – 5-workflow system with AI document verification (OCR + multi-agent LLM scoring), automated alerts, status notifications. Production deployed for a US construction company. WhatsApp AI Agent – Conversational commerce agent handling orders, crop disease identification via image, billing, and meeting booking in Urdu/English. Live for a Pakistani e-commerce business. Veo3 Video Pipeline – AI generates daily video content and auto-publishes to 9 platforms (Instagram, TikTok, YouTube, LinkedIn, etc.) with zero manual work. LinkedIn Content Automation – AI-written posts with human approval workflow, revision agent, and auto-publishing. B2B Lead Scraper – Apollo → verified email pipeline with deduplication and clean output for outreach teams. ML Pipeline Engineering – End-to-end pipelines with Airflow + MLflow for experiment tracking, Kubeflow for scalable multi-model training. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Agent Frameworks: LangGraph, Pydantic-AI, OpenClaw, Claude Code MCP: Model Context Protocol (stdio/HTTP) AI Models: Claude (Sonnet/Opus), GPT-4o, Gemini Orchestration: n8n, Make, Zapier Voice AI: Vapi, Retell.ai, ElevenLabs ML/MLOps: Airflow, MLflow, Kubeflow, scikit-learn Frontend: React, Next.js, TypeScript, Tailwind, shadcn/ui Backend: Node.js, FastAPI, Python, PostgreSQL, Supabase Vector DB: FAISS, pgvector Infra: Vercel, Railway, Cloudflare Workers, AWS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ You share the problem, I reply with a scoped plan within a day. Weekly milestones with daily async updates and Loom walkthroughs. Comfortable starting small so you can evaluate the work before committing. Available 30+ hours per week with US and EU timezone overlap. Rising Talent | 100% Job Success Send your brief. I'll come back with a scoped plan within a day.

I'm an AWS Certified Solutions Architect with 3+ years building production AI for enterprises and high-ticket B2B teams. I work in two lanes — enterprise AWS RAG, and AI-powered CRM/sales automation — and both ship to real production, not localhost demos. 🏢 EXPERIENCE IN Enterprise Conversational AI: + Covestro AG (via FPT Software) — Migrated a legacy HR chatbot to a multi-agent RAG platform on AWS Bedrock Knowledge Base. Cohere V3 embeddings, Amazon ReRank, Azure OpenAI GPT-4o. Event-driven ingestion (Lambda + SQS + DLQ) auto-syncs ServiceNow hourly. + FPT Software — Contract Intelligence — Skill-based extraction framework with prompt chaining. 35% accuracy lift, hallucinations sharply reduced. AWS Bedrock multi-model gateway, SSE streaming, scales to thousands of contracts per batch. + HTI Group — Agentic Chatbot — LangGraph + LlamaIndex ReAct agents, AWS Lambda + ECS Fargate, CI/CD via AWS CDK (TypeScript), Langfuse observability, hierarchical semantic chunking with auto-merge. 🤖 EXPERIENCE IN AI Sales Automation (GoHighLevel + CRM) + Inbound Sales Qualifier & Nurture Engine — AI layer wired into GoHighLevel (pipelines, triggers, calendar, SMS/email) for a high-ticket B2B offer. + Instantly scores leads on an 8-dimension Fit × Intent rubric, generates personalized email/SMS per lead, and answers inbound replies through a grounded RAG agent that only speaks from your real knowledge base — no invented pricing. + Hot leads auto-route to a rep + booking link; everyone else drops into smart nurture. FastAPI + pgvector + webhooks with retry/DLQ so no lead is ever dropped, plus an EventLog audit trail and a daily summary. Built end-to-end in a focused ~10-day sprint. What I do best: 🧠 Multi-Agent Systems — LangGraph, LlamaIndex, ReAct, agent supervisors, tool/skill orchestration 🔍 Production RAG — hybrid search, cross-encoder reranking, hierarchical chunking, graph RAG, grounded "no-hallucination" reply agents 📈 AI Sales & CRM Automation — GoHighLevel workflows, lead scoring, personalized nurture, calendar booking, webhooks + middleware (Python/Node), Make / Zapier glue ☁️ AWS Bedrock + OpenSearch + Lambda + ECS — real cloud-native, not localhost demos 🔒 Compliance — PII redaction, Bedrock Guardrails, zero-trust, KMS, IAM least-privilege 📊 LLMOps — Langfuse / LangSmith tracing, eval pipelines, LLM-as-judge 🧰 Infrastructure as Code — AWS CDK / TypeScript, Docker, GitHub Actions Engagement models I take: ⚡ Fast fixed-price build sprint (1–2 weeks) — ship a working AI feature, e.g. a GoHighLevel qualifier + grounded reply agent, or an MCP/agent tool surface 🔍 Architecture review (1 week, fixed price — see Project Catalog) 🚀 POC → Production migration (3–6 weeks) 🤝 Long-term retainer for ongoing AI platform work (2+ months) 🔗 Let's talk — message me with your stack, your scale, and your timeline.

Most businesses know they need AI and a solid tech foundation very few find someone who can actually deliver both. I build AI-powered apps, full-stack SaaS platforms, and scalable mobile products. Then I lead the team that ships them. No half-finished MVPs. No hand-holding required. I'm building: ➡️ AI-Powered Apps & LLM Integrations chat systems, RAG pipelines, and AI features inside real products ➡️ AI Mobile Apps AI-driven experiences with chat, recommendations, and personalization (React Native, Flutter, Expo) ➡️ Full-Stack SaaS Platforms scalable web apps with real users and real revenue ➡️ Social & Community Apps high-engagement apps with chat, feeds, maps, and real-time features ➡️ Internal Tools & Automation business tools that kill manual work and improve workflows ➡️ DevOps & Cloud Infrastructure AWS, GCP, CI/CD pipelines, ETL operations, and production-grade deployments ➡️ Rapid MVP Development building fast using Lovable, Cursor, Replit while keeping production quality Working with me actually looks like: ✔️ You move fast I use AI tools and proven systems to ship without breaking quality ✔️ You get real product thinking not just code, I help shape features and decisions ✔️ You get a team lead, not just a developer I assign, manage, and execute across full teams when needed ✔️ You stay in control I work from high-level ideas and execute without constant back-and-forth ✔️ You don't need to be technical I translate business needs into engineering direction ✔️ Your product is built to scale not just a demo, but something real users can rely on 🛠️ Tech Stack: Core AI: 🔹 LLMs: GPT-4, Claude Sonnet/Opus, Gemini 🔹 AI Systems: RAG pipelines, multi-model orchestration, prompt engineering, tool calling, agent workflows Full Stack & Mobile: 🔹 Frontend/Backend: React, Next.js, Node.js (Express/Meteor/Sails), TypeScript, Python (Django, Flask), Angular 🔹 Mobile: React Native, Expo, Flutter, Ionic 🔹 Vibe Coding: Lovable, Cursor, Replit, Bolt Data & Infrastructure: 🔹 Databases: PostgreSQL, MySQL, Firestore, MongoDB, Redis, Cassandra, Supabase 🔹 Cloud: AWS (Elastic Beanstalk, S3, EC2), GCP, Heroku 🔹 DevOps: Apache, Nginx, Docker, CI/CD pipelines, ETL operations, Big Query 🔹 APIs: REST, GraphQL, real-time systems, chat integrations, web scraping & automation Ready to Get Started? Click the "Hire Now" button or send me an invitation to chat. I look forward to hearing from you and discussing how we can bring your vision to life.

I build AI-powered .NET applications: complete ASP.NET Core and Blazor apps with AI assistants, RAG chatbots, and agents built in. One engineer for the product and the AI inside it, not an app developer plus a separate AI vendor. Here is what that looks like, all live with walkthroughs you can watch: ~ HealWell+: a .NET healthcare platform on Blazor and ASP.NET Core, with role-based access and digital prescriptions, and an AI assistant built directly into it. The app and the AI, shipped together as one product. ~ On the .NET side: a Blazor print and design marketplace in five clean-architecture layers (PrintsStudio), and two ASP.NET Core MVC platforms with real-time SignalR chat, Docker, and CI/CD (FixItNow and PropertEase). ~ On the AI side: a citation-backed RAG legal research assistant (Luke), an AI receptionist and chatbot platform (Appointly), a LangGraph and RAG code assistant (CodePilot), and a computer-vision product inspector (IntelliFone). The AI systems are built in with LangChain, LangGraph, and OpenAI or Gemini etc, which is how AI is actually shipped into real products, and I connect that AI into .NET apps over clean APIs. So you get the application and its intelligence from one person who understands both sides. --- I'm Misha, with 5 years on the .NET stack. How I work: I map the architecture and the tradeoffs first, on both the app side and the AI side, so the build stays clean and maintainable instead of becoming the thing someone has to rebuild later. You get clear regular updates, documented code, and reliable overlap with US and EU hours. Stack: C#, ASP.NET Core, ASP.NET MVC, Web API, Blazor, Entity Framework Core, SQL Server, SignalR, Docker, and CI/CD, plus Python, LangChain, LangGraph, RAG, FastAPI, OpenAI and Gemini, and vector databases for the AI layer. --- If you want a new AI-powered .NET application built from scratch, or an AI assistant, chatbot, RAG search, or agent added to an existing .NET app, send me a short brief. I'll reply within an hour with an honest assessment and a clear path forward.