Hire the Best Mono Specialists

Your app looked amazing in the demo. Then real users showed up, and now you're staring at broken auth, RLS policies blocking data no one meant to block, a Stripe integration that half works, and AI features that only behave when you're the one testing them. That's not a you problem. That's the gap every Lovable, Base44, Bolt, or Replit build hits at roughly the same point, AI tools get you 80% of the way to a real product, and the last 20% is the part that decides whether you can actually launch, charge real customers, and sleep at night. That's the part I handle. What you get when you bring me in: A real audit of what's actually broken, not guesswork, before a single line changes Auth that holds up under edge cases, not just the happy path Supabase RLS policies that are actually secure, not accidentally blocking your own users Payments that reliably fire, webhooks included, no silent failures AI features that behave the same for your users as they did in your demo Stack I work in: Next.js · React · TypeScript · Supabase (auth, Postgres, RLS, edge functions) · Tailwind CSS · Claude API · OpenAI · Stripe · Vercel · Cursor How I work: clear scope before anything starts, milestone-based delivery so you always know where things stand, and updates you don't have to chase down. You get software that actually works and clean code you fully own, no lock-in, no mystery architecture you can't touch later.

Full-Stack Software Engineer | 5+ years shipping production systems I'm a full-stack software engineer with 5+ years building impactful, user-focused products across Fintech, Education, IoT, Web3, Sports, Dev Tools, and Health. I pair strong backend engineering with solid frontend craft to ship systems that are scalable, observable, and reliable in the hands of real users, not just demos. I'm now extending that foundation into Agentic AI engineering: building LLM-powered agents and RAG systems on top of the same production discipline (clean data flow, testing, and debugging) that my backend work is built on. Backend & Infrastructure - Languages: Node.js, Go (Golang), Python, TypeScript - Databases: PostgreSQL, MongoDB, Redis (SQL/NoSQL hybrid); pgvector for embeddings - Cloud & DevOps: AWS, Azure, GCP; Docker, CI/CD pipelines, Linux/VPS deployment - BaaS: Supabase, Firebase, Appwrite, AWS Amplify, PocketBase Frontend - Frameworks: React.js, Next.js, Vue.js, React Native, Capacitor, Flutter - Language & Styling: TypeScript, Tailwind CSS, Ant Design, Material-UI, Tailwind CSS, ShadCN Agentic AI Engineering - Frameworks: LangChain, LangGraph (stateful/multi-agent orchestration) - Patterns: RAG & agentic RAG, ReAct, tool/function calling, structured outputs, multi-agent workflows, MCP (Model Context Protocol) - LLMs: OpenAI, Anthropic Claude, open models via Ollama - Retrieval & data: vector databases (pgvector, Pinecone, Qdrant, Chroma), embeddings, semantic search - Observability & eval: LangSmith, Langfuse Testing & Quality - Test-Driven Development with Jest, Playwright, Cypress, Storybook, React Testing Library - End-to-end test pipelines and QA integrated across the development lifecycle Notable Projects - Serene Mind — a telehealth SaaS connecting therapists and patients with paid online sessions, built-in video/audio, and Stripe-style session payments. Next.js, React, TypeScript, Supabase, with custom CI/CD. (Core dev & tech lead) - SchoolBook — a finance, academics, and administration platform managing records for 1,000+ students across 20+ schools. React, Vite, TypeScript, Node.js, PostgreSQL. - GigGap — a skilled-labour marketplace for West Africa (electricians, plumbers, and other pros ↔ clients), live on both the App Store and Google Play. - Waziup IoT Lab — a learning platform for IoT serving 2,000+ daily active users. Go, React, Vite, TypeScript, PostgreSQL. (Lead developer) - Porai AI — an AI-powered math-solver app (in development). What Drives Me I build software that works and lasts. My approach centers on scalability, clean data flow, and user-centric design, and I like environments where I can investigate deeply, communicate findings clearly, and keep learning, most recently by moving into agentic AI. If you need someone who can own a problem end to end, let's talk.

Mid-Senior DevOps | AI Engineer I design and operate production infrastructure while building AI-powered systems that integrate directly into real business workflows. My work spans cloud architecture, Linux systems, CI/CD, Kubernetes, Supabase, Cloudflare, and scalable backend infrastructure ,alongside AI integrations using Claude, ChatGPT, MCP servers, and custom automation pipelines. Core Expertise DevOps & Cloud Infrastructure (AWS, GCP, Azure, Hetzner) Kubernetes, Docker, CI/CD pipelines Linux server administration & automation Cloudflare, reverse proxies, DNS, SSL, networking Supabase & PostgreSQL platforms AI integrations with Claude & ChatGPT MCP server development & tool-calling systems API integrations & workflow orchestration Infrastructure security, staging, backups, and production hardening Recent Projects Built a production MCP server connecting ServiceM8 with Claude AI using 14 operational tools Managed a multi-server WordPress infrastructure fleet with 21 production websites Architected a multi-tenant Supabase platform for UK property compliance workflows Deployed and secured cloud environments with automated backups, staging systems, and CI/CD pipelines Implemented AI-powered workflows integrating external APIs, databases, and operational systems I work comfortably across the full stack of modern infrastructure and AI systems — from provisioning servers and securing production environments to building intelligent integrations that automate business operations. If you need someone who can both architect reliable infrastructure and build production-ready AI systems on top of it, let’s discuss your project.

18X Certification - Claude 101, Claude Cowork, MCP, Advanced MCP, AI Fluency, AI Agents and Sub Agents Transform your business operations with intelligent AI Agents and automation solutions. With 17+ years of experience building enterprise-grade software solutions, I specialize in creating custom AI Agents and automations that drive real results for businesses. 🎯 What I Do Best: 1) Design and implement AI Agents 2) Create automated workflows that integrate with your existing systems 3) Develop custom AI solutions that reduce costs and increase efficiency 🚀 Featured Projects & Results: ✅ Real Estate Lead Generation System 1. Built custom AI Voice Agent handling 1000+ calls daily 2. Increased qualified lead generation by 40% 3. Reduced response time by 65% 4. Automated appointment scheduling with 95% accuracy ✅ Healthcare Patient Management 1. Developed intelligent scheduling system with AI Agents 2. Reduced no-show rates by 35% 3. Automated 80% of routine appointment confirmations 4. Integrated with existing EMR systems ✅ E-commerce Customer Service Created multilingual AI Voice Agent handling customer inquiries Automated 70% of common customer service requests Increased customer satisfaction scores by 45% Seamless integration with existing CRM 🛠️ Technical Expertise: AI Stack: Openai models, Claude, Gemini, Rag pipleine AI Voice Platforms: VAPI ai, Retellai, Blandai, Airai Voice Technologies: ElevenLabs, Whisper, Deepgram Automation Tools: n8n, Make, Zapier CRM Integration: Salesforce, HubSpot Custom API Development & Integration 💡 Specialized Services: ✔️ AI Agent Development 1. Custom agent design and implementation 2. Natural language processing optimization 3. Voice personality customization 4. Multi-language support ✔️ Automation & Integration 1. End-to-end workflow automation 2. CRM and business tool integration 3. Custom API development 4. Real-time analytics and reporting ✔️ Business Process Optimization 1. Call center automation 2. Lead qualification systems 3. Appointment scheduling 4. Customer service automation 🌟 Why Work With Me: 1. Deep expertise in AI technologies and automation 2. Focus on measurable business results 3. Clear communication and project management 4. Fast implementation and deployment 5. Ongoing support and optimization 📈 Recent Success Stories: "JC transformed our outbound calling process. His AI Agent solution increased our contact rate by 45% and saved us $12,000 monthly in operational costs." Mark R Real Estate Agency "The AI Agent JC built for our medical practice is incredible. It handles scheduling, confirmations, and basic patient inquiries perfectly. Our staff can now focus on more important tasks." - Dr. Sarah L Medical Director 🔍 My Approach: 1. Understand your specific business needs 2. Design custom AI solution 3. Develop and test extensively 4. Deploy and monitor performance 5. Optimize based on real-world data 6. Provide ongoing support Ready to revolutionize your business with AI Agents? Let's discuss your needs and create a solution that delivers real results.

Hi, I am Devendra, For the past 3+ years, I have been working as a full-stack developer. I have worked on projects 🚀 ranging from intuitive user interfaces to scalable backend systems, always with one goal: delivering clean, reliable, and future-ready solutions. ✅ My Technical Expertise ============================================================= 💡 Frontend: React, Next.js, Tailwind CSS, JavaScript, TypeScript 💡 Backend: Node.js, Express.js, Nest.js, REST APIs, GraphQL 💡 Databases: MongoDB, MySQL, PostgreSQL, Firebase 💡 Cloud & DevOps: AWS, Vercel, Docker, GitHub Actions 💡 AI Tools: OpenAI, Claude, Cursor.ai, Lovable.ai, LangChain, AI-powered integrations 💡 Automation: n8n, Make.com 💡 Third-Party APIs: Payment gateways, authentication APIs, SaaS integrations, real-time services 💡 Testing Libraries: Jest, Mocha, Chai, Cypress ✅ Why I am the Developer You Should Hire? ============================================================= 🤝 Clean, Readable Code as a Standard 🤝 Built-in Performance from the Start 🤝 An Eye for User Experience (UX) 🤝 Proactive Problem-Solving 🤝 Direct and Clear Communication 🤝 Intelligent AI Integration 🤝 On-Time Delivery, Every Time ✅ My New Tech-Adoption Mindset ============================================================= 🛠️ I keep a close watch on what's new in the React and AI ecosystems. 🛠️ I enjoy testing new tools on side projects to see if they can benefit clients. 🛠️ I believe new technology should solve a problem, not just be a trendy addition. What I Commit to Your Project ============================================================= 🎯 A dedicated line of communication. 🎯 Regular updates and progress reports. 🎯 A final product that matches your vision. 🎯 Thorough testing and a stable launch. 🎯 Post-launch support for a smooth handover. If you are looking for a developer who can build your vision with clean code and smart solutions, I am ready to start. 🤝 INVITE ME to your project, and let's talk about what we can create. Thanks & Regards, Devendra.

Most AI systems die between the demo and production. I build the ones that survive — and everything I claim is public. ✔ agentic-rag-mcp (open source): a multi-agent RAG server over MCP where every answer cites its exact source chunk or the agent refuses. The eval suite — groundedness, citations, refusal correctness — runs in CI, so a regression fails the build. ✔ mcp-vitals (open source): a CLI that grades any MCP server A–F for reliability and agent-usability. I graded the official reference servers — two got an A, one got an F. Live report published. ✔ groundcheck (open source): a 1.5B groundedness-judge I fine-tuned (QLoRA) that agreed with a frontier judge 100% of the time at $0 per call — shipped only because its own evals beat the baseline. ✔ drumvia (live in production): a SaaS marketplace built solo end to end — auth, Stripe payments, KYC, real-time bidding, row-level security. Next.js, React 19, Supabase. WHAT I DELIVER • MCP servers — your API exposed to Claude/ChatGPT/agents: strict schemas, auth, remote deployment, observability, evals. Fixed scope. • RAG systems with real citations — hybrid retrieval (pgvector) + reranking; grounded answers, measured quality. • AI agents & automation — LangGraph pipelines, tool-calling, deterministic gates, human-in-the-loop; n8n + Claude workflows. • AI reliability & evals — golden datasets, LLM-as-judge, eval harnesses wired into your CI. HOW I WORK Evaluation-first. I fix problems at the right layer — tool, gate, or prompt — then lock each fix with a regression test. Clear milestones, funded escrow, async updates. The boring reliability stuff — retries, idempotency, graceful failure — is what actually keeps a system alive. Tell me what your AI is supposed to do, and I'll tell you how to prove it does it.