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AI Agent Architect | Claude Code | AWS Bedrock | LangGraph | n8n | RAG | Full Stack AI Systems I build production-grade AI systems, autonomous agents, and enterprise SaaS platforms that integrate deeply with real business operations. Over the last 11+ years, I've worked as a Software Engineer, Team Lead, CTO, and AI Architect, helping startups and enterprises design, build, deploy, and scale cloud-native products across AI, FinTech, Analytics, Media, eCommerce, and Enterprise SaaS. My focus today is building AI-native systems that move beyond simple chatbot experiences and become reliable business operators capable of reasoning, planning, executing tasks, and integrating with enterprise workflows. ━━━━━━━━━━━━━━━━━━━━━━ AI Agents & Agentic Systems I design and build production-ready AI agents capable of: • Autonomous decision making • Multi-step reasoning and execution • Tool calling and API orchestration • Multi-agent collaboration • Planner → Supervisor → Worker architectures • Long-term memory and contextual learning • Human-in-the-loop workflows • Event-driven automation systems • Enterprise knowledge retrieval • Agent evaluation and reliability testing Technologies: • Claude API (Anthropic) • OpenAI GPT-4o / Realtime API • AWS Bedrock • LangGraph • LangChain • MCP (Model Context Protocol) • CrewAI • Vector Databases • Knowledge Graphs Recent implementations include: • Financial Intelligence Agents • Company Research Agents • B2B Outreach Agents • AI Website Builders • AI Content Generation Systems • Customer Support Agents • Voice AI Agents • Enterprise Document Intelligence Platforms ━━━━━━━━━━━━━━━━━━━━━━ Retrieval-Augmented Generation (RAG) I build enterprise-grade RAG architectures designed for accuracy, traceability, and scalability. Capabilities: • Enterprise document ingestion pipelines • PDF, DOCX, HTML, Database ingestion • Chunking and embedding optimization • Hybrid retrieval architectures • Metadata filtering • Re-ranking pipelines • Knowledge graph integration • Hallucination reduction • Citation and provenance systems • Multi-tenant knowledge bases Vector Technologies: • Pinecone • OpenSearch • ElasticSearch • pgvector • Weaviate • FAISS • Supabase Vector Recent projects include enterprise document intelligence platforms and governed reasoning systems for business-critical workflows. ━━━━━━━━━━━━━━━━━━━━━━ n8n & Workflow Automation I build advanced automation systems using n8n that combine deterministic workflows with LLM reasoning. Capabilities: • AI-powered workflow orchestration • Agent-driven automation pipelines • Human approval workflows • Event-driven architecture • Queue-based processing • Retry-safe workflows • Background job processing • Cross-platform integrations • Multi-step decision engines Integrations: • Slack • Google Workspace • Microsoft 365 • HubSpot • Salesforce • Stripe • Twilio • Airtable • Notion • Internal APIs ━━━━━━━━━━━━━━━━━━━━━━ Voice AI & Conversational Systems Design and implementation of production-ready voice agents using: • Twilio Voice • OpenAI Realtime API • Claude-powered reasoning • AWS Transcribe • Whisper • ElevenLabs • Stateful conversation engines • Automated call summaries • CRM integrations Use Cases: • Appointment Booking • Lead Qualification • Customer Support • Sales Outreach • Reservation Systems • Internal Operations ━━━━━━━━━━━━━━━━━━━━━━ AWS Cloud & AI Infrastructure Strong background designing cloud-native AI platforms on AWS. Core Services: • AWS Bedrock • Lambda • ECS • EC2 • API Gateway • SQS • SNS • EventBridge • DynamoDB • Aurora • PostgreSQL • S3 • CloudFront • CloudWatch • Step Functions Infrastructure: • Terraform • CloudFormation • Docker • Kubernetes • CI/CD Pipelines • Multi-Tenant SaaS Architectures ━━━━━━━━━━━━━━━━━━━━━━ Full Stack AI Product Development Frontend: • React • Next.js • TypeScript Backend: • Node.js • Express • NestJS • Python • FastAPI Databases: • PostgreSQL • MySQL • MongoDB • DynamoDB • Redis ━━━━━━━━━━━━━━━━━━━━━━ Industries Served • FinTech • Enterprise SaaS • LegalTech • Healthcare • Media & Broadcasting • Crypto & Blockchain • Analytics Platforms • Marketing Automation • Cloud Infrastructure ━━━━━━━━━━━━━━━━━━━━━━ What Clients Typically Hire Me For ✓ Multi-Agent Systems ✓ Claude & AWS Bedrock Development ✓ Enterprise RAG Platforms ✓ n8n AI Automation ✓ AI SaaS Products ✓ Voice AI Agents ✓ Workflow Orchestration ✓ AI Architecture Reviews ✓ AWS Cloud Architecture ✓ Production Launches & Scaling If you're building an AI product and need someone who understands both agentic AI and production-grade software architecture, I can help design, build, deploy, and scale the entire system. ✓ Claude Code & OpenAI GPT-4o ✓ Multi-Agent Systems ✓ LangGraph & RAG Pipelines ✓ n8n & Workflow Automation ✓ Voice AI (Twilio, ElevenLabs) ✓ Node.js, React & AWS Bedrock ✓ Stripe, SaaS & Enterprise Integrations ✓ AI Agents for Finance, Legal, Healthcare & Op

Building an AI agent or RAG demo is easy. Making it reliable, secure, observable, and cost-predictable in production is where most projects fail. I design, build, and rescue production AI systems on AWS for SaaS and enterprise teams. Expert-Vetted (Top 1% on Upwork) | 100% Job Success | $80K+ earned 2,700+ hours | 41 jobs | 3x AWS Professional certified (Generative AI, Solutions Architect, DevOps) | 4x AWS Community Builder | 9+ years CLIENTS BRING ME IN WHEN - An AI agent works in a demo but breaks with real users, tools, permissions, retries, or live business data - A RAG system retrieves the wrong context or produces weak citations - AI inference and cloud spend swing unpredictably month to month - A proof of concept needs production architecture, security, and a safe deploy and rollback path - Claude, OpenAI, or Amazon Bedrock must connect to real workflows - An AWS platform has reliability, scaling, security, or cost problems WHAT I BUILD AI Agents and Agentic Workflows - Multi-agent systems with LangChain, LangGraph, tool calling, and MCP - State management, tracing, approvals, and human-in-the-loop escalation - Deterministic fallback paths for when the model is the wrong tool Enterprise RAG and Knowledge Systems - Hybrid retrieval (dense embeddings + BM25), reranking, and citations - Vector stores: OpenSearch, Pinecone, Qdrant, pgvector, FAISS - Tenant isolation and access control for multi-tenant data LLM Integration and Evaluation - Claude, OpenAI, Amazon Bedrock, and open-source models - Prompt engineering, guardrails, evals, and regression tracing - Cost and latency optimization for production inference AWS Platform and Serverless - Event-driven systems: Lambda, API Gateway, DynamoDB, SQS, EventBridge, Step Functions - ECS, EKS, RDS, OpenSearch, ElastiCache - Terraform, AWS CDK, CloudFormation, SAM - IAM least-privilege, observability, incident recovery, cost optimization TECHNICAL STACK Python, Node.js, TypeScript | LangChain, LangGraph, MCP | Claude, OpenAI, Amazon Bedrock | OpenSearch, Pinecone, Qdrant, pgvector | AWS Lambda, DynamoDB, Step Functions, EventBridge | Terraform, CDK, Docker, Kubernetes SELECTED PRODUCTION OUTCOMES - 43% reduction in monthly Lambda cost - 55% improvement in processing time - Event-driven ordering platform handling millions of transactions per month with strict uptime and recovery requirements - Production integrations across Claude, OpenAI, and Amazon Bedrock I AM A GOOD FIT IF - You want a system that survives real users, not another demo - You have real workflows, data, or a running product to build on - You want senior ownership and clear architectural decisions I AM NOT THE FIT IF - You are exploring AI with no use case yet - Price matters more than reliability and outcomes HOW I WORK I do not start with a framework. I start with your workflow, your data, your permission model, your failure modes, and your operating cost. That includes telling you when not to build something. I have advised clients against AI agents where a deterministic workflow was safer, against RAG where a direct query was enough, and against managed services that add cost or lock-in without earning it. Guardrails, evals, and tenant isolation reduce risk and improve reliability; they do not eliminate hallucinations, and I will not claim they do. Send me your architecture, repo context, or the production issue you are stuck on. I will identify the highest-risk path to production and the smallest safe step to fix it.

I build full-stack products that grow with your business – from backend APIs to clean UIs and scalable AWS infrastructure. You get one senior engineer handling it all, so there are no handoff delays or coordination issues. I'm AWS Certified Developer and specialize in serverless systems, cost-effective cloud architecture, and CRM/SaaS platforms. My clients typically launch 30–40% faster and save $5K–15K/month on infrastructure. I solve complex problems with clean, production-ready solutions. No fluff, no delays – just results that scale.

Full Stack Developer (7+ yrs) specialized in AI automation and production SaaS. I help SaaS founders and ops teams replace slow, manual workflows with AI agents and full-stack software that runs at scale and that your team actually owns, not a demo you outgrow in a month. The gap I fill: most "AI developers" stop at an API call, and most automation freelancers can't ship production code. I do both, which is what real AI automation takes. Across 20+ products in fintech, edtech, and healthtech (HIPAA, PCI-DSS), I've led engineering teams and shipped systems that hold up under real traffic. Top Rated on Upwork. On a recent AI-SaaS build, I caught a critical Supabase Row-Level-Security hole the team had missed, outside my scope, and showed them the fix. That instinct to audit, not just code, is what you're hiring. WHAT I BUILD - AI Automation & Agents, LangChain / LangGraph multi-agent and tool-calling workflows, RAG pipelines (pgvector, Pinecone), and n8n / Make orchestration with branching, error handling, and human-in-the-loop. Plus custom MCP servers so AI works securely with your tools and data. - Full-Stack SaaS: Multi-tenant Next.js / NestJS / Node.js / Python products with Stripe billing, auth, admin dashboards, and analytics. Built end to end. - AI-Powered Ops: CRM and workflow automation (HubSpot, Salesforce, GoHighLevel) for lead enrichment, follow-ups, and pipeline automation. CORE STACK Next.js · React · TypeScript · Tailwind · Node.js · NestJS · Python · FastAPI · PostgreSQL · Supabase · MongoDB · AWS · Docker · OpenAI · Claude · LangChain · LangGraph · RAG · MCP · n8n · Stripe RESULTS CLIENTS GET - Re-architected a US bank's auth layer to OAuth 2.0 / PKCE - Built a multi-tenant RAG system (hybrid BM25 + dense retrieval) on real data - Cut cloud spend 35% and lifted concurrent users 50% - Shipped 40% faster with CI/CD and Infrastructure-as-Code HOW I WORK I scope before I build: free 20-min discovery call → architecture doc → phased build with milestones → handoff with full documentation. After that, proactive updates, clean modular code, and support that doesn't vanish at launch. You get one person who's both an AI-automation architect and a senior Full Stack Developer production code, LLM orchestration that holds together, and documentation thorough enough that your team is never stuck depending on me. Send me two or three sentences about the workflow or product costing you the most time. I usually reply within a few hours, and most projects start within 48. Keywords AI Automation · AI Agents · LangChain · RAG · n8n · MCP · Full Stack Developer · SaaS Development · Multi-Tenant SaaS · Next.js · Node.js · Python · OpenAI · Claude · Stripe · AWS

Hi, I’m Mehul, a Top-Rated-Plus AWS Expert and DevOps Engineer who helps startups and founders launch and scale reliable SaaS, healthcare, and fintech platforms on AWS. ✅ Top 1% Upwork Freelancer ✅ 125+ Projects Completed ✅ 7000+ Hours Worked ✅ Top-Rated Plus on Upwork ✅ AWS Certified Developer - Associate 🏆 🏆 I’ve designed systems serving 2M+ users, built HIPAA-compliant healthcare apps, and helped teams cut cloud bills by 30–40 % without compromising performance. My focus is simple: build it once, make it scale, and keep your costs under control. ✅ What I Do ➥ Architect secure, serverless AWS setups using Lambda, API Gateway, and DynamoDB ➥ Deploy AI Agent to AWS with Bedrock ➥ Automate deployments with Terraform, GitHub Actions, and CodePipeline ➥ Optimise infrastructure for speed, uptime, and cost 💡 Why Work With Me ➥ 7+ years in AWS DevOps ➥ $300 K+ earned on Upwork, 100 % Job Success Known for clear communication, quick delivery, and long-term reliability Let’s connect if you’re building a product and want an AWS setup that’s secure, scalable, and easy to manage so you can focus on growing your business while I handle the cloud. Experienced with Amazon EC2, S3, RDS, Aurora, DynamoDB, ElastiCache, CloudFront, API Gateway, Step Functions, EKS, Fargate, CodePipeline, CodeBuild, CloudWatch, Grafana, Prometheus, GuardDuty, Security Hub, AWS Organisations, SCPs, KMS, Secrets Manager, IAM, WAF, Route53, ACM, Amplify, SageMaker, Bedrock, OpenSearch, and CloudFormation. Python, Bash, TypeScript, Node.js, Docker, Kubernetes, GitHub Actions, GitLab CI, Jenkins, n8n, Zapier.

Building something complex? I help companies architect, build, and scale systems that actually work — from first commit to 1M users. And I can prove exactly how I do it. Why Clients Hire Me After 74+ Upwork contracts and $200K+ delivered, I've learned that most projects fail for the same reasons: unclear scope, wrong architecture decisions early on, and vendors who say "yes" to everything. I do the opposite — I ask hard questions upfront so we don't discover problems in production. How I Work: AI-Augmented Development I don't just use AI tools — I've systemized them into a Multi-Agent Development Methodology: → Every decision documented and versioned (no tribal knowledge) → Full audit trail — see exactly how your project evolves → Real-time visibility into progress (not just status updates) → Clean handoffs — the next developer won't curse me What I Do → AWS Architecture & Infrastructure — Design, migration, optimization, security → Full-Stack Development — React, Angular, Node.js, Python, Java → Compliance Systems — HIPAA, SOC2, enterprise-grade security → IoT & Real-Time Data — AWS IoT Core, sensor networks, dashboards → Trading & Financial Systems — TradingView, Pine Script, algorithmic strategies Where I Add Most Value → Projects where "getting it right" matters more than "getting it cheap" → Systems that need to scale, comply, or integrate with complex infrastructure → Teams that want a technical partner, not just a code vendor → Rescuing projects that previous developers made a mess of → Teams who value documentation and full visibility The Numbers → 100% Job Success Score → Expert-Vetted status (top 1% of Upwork talent) → $200K+ earned on platform → 50+ developers in my agency for larger engagements → 22+ years building enterprise systems (Hewitt, Xerox, Cognizant) Certifications → AWS Solutions Architect – Professional → AWS Advanced Networking – Specialty → AWS Security, Cloud Economics, and Technical Professional Industries I've Built For Healthcare (HIPAA) · Fintech · SaaS · IoT · Insurance · Logistics · Manufacturing · Legal Tech How to Start Send me a message with: → What you're trying to build or fix → Your timeline → Any constraints I should know about I'll give you an honest assessment — including whether I'm the right fit.