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Full Stack Developer and AI Engineer - CEO and Co-Founder of Invirial, 𝐚 𝐬𝐞𝐧𝐢𝐨𝐫 𝐭𝐞𝐚𝐦 𝐨𝐟 𝟗+ shipping B2B SaaS and Fintech products. Track record: Member since 𝟐𝟎𝟏𝟐 · 𝟏𝟎𝟎% JSS · $𝟔𝟎𝟎𝐊+ earned on this profile · $𝟒𝐌+ earned across our agency. To be clear upfront: I don’t write the code myself on every project. As Co-Founder, I scope, architect, and oversee delivery — my Full Stack Developers and AI Engineers ship. That’s why clients hire us instead of a solo freelancer: real capacity, senior oversight, and no single point of failure. 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 Most clients come to us with one of two problems: they need a product built properly from scratch — an MVP that ships in weeks, not quarters — or they have an existing system that needs a senior Full Stack Developer or AI Engineer team to take ownership and move it forward without hand-holding. We’re a Full Stack Developer and AI Engineer team in one shop. That matters in 2026 because the line between the two has collapsed: modern SaaS products need React and Next.js on the frontend, Node and Python on the backend, and LangChain, RAG pipelines, and OpenAI or Claude integration as core features — not as a bolt-on. We own the whole stack end-to-end so you don’t have to coordinate three vendors. Our Full Stack Developers ship in: React, Next.js, Node.js, TypeScript, JavaScript, Python, Django, FastAPI, MongoDB, PostgreSQL, Supabase, Tailwind CSS, shadcn/ui, Stripe, AWS, Docker, REST APIs, third-party API integration. MERN stack and Next.js + Supabase + Stripe are our two default builds for SaaS MVPs. Our AI Engineers ship in: Python, LangChain, LangGraph, OpenAI API (GPT-4o, GPT-5), Claude / Anthropic API, RAG pipelines, vector databases (Pinecone, Chroma, FAISS, Weaviate), LlamaIndex, FastAPI, Hugging Face, fine-tuning (LoRA/QLoRA), n8n, Make. com, AWS Bedrock, Azure OpenAI, prompt engineering, AI agent development, chatbot development, and voice stack (Vapi, ElevenLabs, Twilio). We don’t do prompt-only ChatGPT wrappers. Our AI Engineers ship real agentic workflows — multi-step reasoning, tool calling, memory, guardrails, and production deployment. 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 Whether you need a React developer for a SaaS dashboard, a MERN stack developer for a full product build, an AI agent developer for a multi-agent system, a generative AI engineer for a RAG chatbot, or a Next.js developer to migrate from WordPress or Bubble — we have the right senior on the team for it. Common deliverables: B2B SaaS MVPs from scratch, Fintech platforms with Stripe and compliance-aware architecture, RAG chatbots and knowledge-base assistants, AI automation with n8n + Claude, AI voice agents, admin dashboards with auth and RBAC, no-code-to-code migrations (Bubble/Lovable/Framer → coded stack), and ongoing engineering for products in growth. Recent Full Stack Developer and AI Engineer projects A snapshot of the project archetypes our team ships most often: 🔘 Fintech SaaS platforms — Next.js + Supabase + Stripe builds with subscription billing, KYC flows, role-based access, and compliance-aware architecture. Senior Full Stack Developer–led. 🔘 RAG chatbots and knowledge-base assistants — production-grade retrieval pipelines built by our AI Engineers using LangChain, Pinecone, and OpenAI or Claude, with guardrails, source citations, and LangSmith evaluation in place from day one. 🔘 AI agent and agentic workflow systems — multi-agent architectures using LangGraph, OpenAI Agents SDK, or n8n + Claude for lead generation, CRM enrichment, and internal operations automation. Built by AI Engineers who’ve shipped agents in production, not just demos. 🔘 B2B SaaS MVPs from scratch — full-cycle Full Stack Developer builds covering product architecture, React/Next.js frontend, Node or FastAPI backend, payment integration, and AWS or Vercel deployment. Designed for clients who need to launch fast and scale without a rebuild. 🔘 AI-augmented Full Stack rebuilds — taking an existing B2B SaaS or Fintech product and adding LLM-powered features (chat with your data, AI copilots, smart automation) through our combined Full Stack Developer + AI Engineer workflow. The hybrid build is what we do best. Why clients pick our Full Stack Developer and AI Engineer team over a solo freelancer A senior team of 9+ means we ship faster than a solo Full Stack Developer or AI Engineer and survive bus factor. CEO and Co-Founder oversight on every project means architecture decisions get made by someone with 14+ years of shipped products behind them — not by whoever happens to be assigned to your account. And because we work as a single agency rather than a marketplace of strangers, the engineer reviewing your code on Friday is the same one fixing the bug on Monday. If you’re building a B2B SaaS or Fintech platform and need a senior team that ships, let’s talk.

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

I help startups and growing businesses build AI-powered products that are ready for production, not just impressive demos. Whether you're launching an AI SaaS platform, integrating large language models into an existing application, or modernizing internal software, I focus on building reliable, scalable solutions that solve real business problems and remain easy to maintain as your business grows. With over 8 years of professional experience, I've built applications across AI, SaaS, fintech, CRM, logistics, eCommerce, and business automation. My role extends beyond development. I help clients identify technical risks early, design scalable architectures, and make engineering decisions that reduce future maintenance while keeping delivery fast and efficient. • Automated 65% of support tickets for a logistics SaaS with an AI agent • Built a fintech dashboard that scaled to 5,000+ users in 4 months • Saved 15+ hours/week through AI workflow automation for an e-commerce client AI Development I build practical AI solutions that automate workflows, improve customer experiences, and increase team productivity. My experience includes: AI SaaS platforms OpenAI, Claude, Gemini, and leading LLM integrations RAG with vector databases and private knowledge bases AI agents, multi agent systems, and workflow orchestration AI chatbots and customer support assistants Document processing, OCR, and structured data extraction Business automation with n8n AI features integrated into existing products Full Stack Development I develop modern web and mobile applications using technologies chosen for long term scalability, maintainability, and performance. Backend: Python (FastAPI, Django), PHP (Laravel, Symfony), Node.js (Express) Frontend: React, Next.js, Vue.js, Nuxt.js, Livewire, Alpine.js Mobile: Flutter, React Native Infrastructure & Integrations PostgreSQL, MySQL, MongoDB, Redis, Firebase, Supabase, REST APIs, GraphQL, OAuth, JWT, WebSockets, AWS, Google Cloud, Docker, Vercel, Stripe, WordPress, WooCommerce, Shopify, and complex third party API integrations. How I Work I believe great software is measured by how well it supports a business long after launch. That's why I prioritize thoughtful architecture, clean code, and practical engineering decisions that make future development easier instead of more expensive. I regularly help clients with product architecture, AI integration, full stack development, API design, deployment, performance optimization, and long term product evolution. To improve development efficiency, I use tools such as Claude Code, Cursor AI, and GitHub Copilot where they genuinely add value, allowing me to spend more time solving complex engineering problems while maintaining production quality. If you're looking for a developer who communicates clearly, takes ownership, and can contribute from architecture through deployment, I'd be glad to discuss your project. Whether you're building an AI product from scratch, scaling an existing platform, or modernizing legacy software, I'll help you create a solution that's reliable today and adaptable for the future.

🏆 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐜𝐥𝐚𝐢𝐦𝐞𝐝: * Zend Certified PHP Engineer * Upwork-certified JavaScript Developer * Project Management Professional (PMP)® 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬, 𝐜𝐡𝐚𝐭𝐛𝐨𝐭𝐬, 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐩𝐥𝐮𝐠 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐚𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐬𝐡𝐢𝐩. Most "AI" work stalls at the demo stage. My focus is the opposite: taking AI features from prototype to a live, scalable product your users can rely on. With 15+ years across full-stack development, DevOps, and technical delivery, I connect LLMs and automation to the systems that run your business, not a disconnected proof of concept. ⚙️ 𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬: 1. AI & LLM Engineering — AI agents, RAG chatbots, workflow automation, and LLM integration (OpenAI, Claude, LangChain), plus n8n, Make, and Zapier for fast automation wins. 2. DevOps & Cloud — CI/CD pipelines (GitHub Actions, Jenkins, GitLab), Docker/Kubernetes, and AWS/GCP/Azure infrastructure built for reliable, low-downtime releases. 3. SaaS, MVPs & Full-Stack — end-to-end product builds in Python (Django, FastAPI), Node.js, React/Next.js, and PHP/Laravel, with PostgreSQL, MySQL, MongoDB, and Redis. 4. Technical Project Management — Agile delivery, MVP roadmaps, sprint planning, and clear communication between stakeholders and engineers so projects land on time and on budget. 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐤𝐞𝐞𝐩 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐦𝐞: ✔️ Clean, maintainable code and architecture built to scale ✔️ Fast, predictable delivery with transparent progress ✔️ A dependable partner who ties technical work to business outcomes Whether you are launching a SaaS MVP, adding AI agents to an existing product, or automating critical workflows, I can take it from concept to production. 📩 Let's connect to discuss how I can move your project forward. Haseeb

Hi, I can help with: • AI agents that use tools, APIs, databases, and MCP servers • RAG systems and knowledge-base assistants • Document processing and review workflows • OpenAI, Claude, Bedrock, Vertex AI, and local LLM integrations • Backend APIs, automation, and data pipelines • Full-stack AI products with Python, FastAPI, PostgreSQL, TypeScript, React, and Next.js In recent roles, I built AI agents for document classification, extraction, editing, and human-in-the-loop validation. One workflow reached 95%+ validation accuracy across 1,000+ documents. Bring me a workflow, a rough idea, or a broken AI prototype. I’ll help you turn it into something clean, useful, and maintainable.

I'm a forward deployed AI engineer based in Cologne, Germany: I get RAG systems, AI agents, and LLM pipelines out of the demo stage and into production, inside real enterprise systems and under real compliance requirements. I'm Simon, and I lead 2pi IT Solutions, a small team of senior engineers. Most AI projects don't fail because of the model. MIT research found that external specialists succeed in roughly 67% of enterprise GenAI projects, against about 33% for teams building alone in-house, and that 95% of enterprise GenAI pilots show no measurable ROI, with only around 5% of custom AI tools ever reaching production. The gap is almost always the engineering around the model: data pipelines, evaluation, guardrails, integration into systems that were never built for AI. That's the part I fix. If the project touches the German market, that gap gets a second layer: BaFin, GDPR, and the EU AI Act's obligations for high-risk systems, effective August 2, 2026. I've shipped through all three. For naroIQ, a Cologne fintech, I built a financial indexing platform from scratch that passed BaFin licensing in under a year, with a complete audit trail from market data to published index value and > 99.999% uptime across thousands of live instruments. For Universitätsklinikum Köln, I built an on-premise pipeline that turned a hospital's terabyte-scale DICOM archive into a searchable research resource, matching over 95% of scans to clinical studies automatically, deployed inside the hospital network under German data protection rules. I'm a native German speaker who has consulted German enterprises and regulated-industry clients directly for the past five years, not through a subcontractor or an offshore layer. If your team, your board, or your compliance department needs to talk to the person actually building the system, in German, that's me. 2pi IT is a registered German GmbH with professional liability insurance, so you're working with a legally accountable company, not an anonymous freelance profile. Before AI-assisted coding existed, I built complete software products end to end: backend, frontend, data, DevOps, cloud and on-premise. That's what lets me tell the difference between an AI system that looks good in a demo and one that survives an audit and a year of real traffic. I've done this as founding engineer of my own SaaS company (acquired in 2022), as lead engineer on regulated financial and healthcare systems, and as embedded delivery for AI platform vendors bringing their product into enterprise customer environments. Stack: Python, FastAPI, LangGraph and other agent frameworks, RAG and vector retrieval, Next.js, GCP and on-premise deployments, Postgres, Redis, MongoDB depending on the job. I work quarter to quarter with no lock-in, so you can scale me up or down as the project needs it. If you need a forward deployed AI engineer who can operate inside German enterprise environments and get agentic systems, RAG, or LLM pipelines into production rather than another prototype, let's talk.