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If your AWS bill keeps climbing, production breaks under load, or a compliance deadline is getting close - the problem is rarely just AWS. It’s the architecture. I step into fragile systems and fix both: cloud infrastructure, and the application design running on it. Because even perfect AWS setup cannot save software that wasn’t designed to scale, isolate failures, or handle real production traffic. Most teams I work with are stuck in one of these situations: - AWS costs rising every month with no clear reason - Systems that pass tests but fail under real traffic - Compliance pressure from regulators or auditors - Constant firefighting instead of controlled releases Hiring more engineers or adding more monitoring increases complexity. I simplify the architecture - both infrastructure and code-level design - so the problems stop repeating. Recent outcomes: - Avoided a $5M federal penalty by delivering a critical federal platform before deadline, focusing only on what was required for compliant launch - Cut hosting costs from $96K to $14K per year by eliminating architectural waste across infrastructure and services - Designed and delivered a FedNow-ready, Federal Reserve-compliant real-time payments system scaling to 60,000 transactions per second using horizontally scaled services built specifically for cloud behavior What changes after I’m done: - Infrastructure and software designed to scale together - Predictable AWS costs - Systems that stay stable under load - Clear documentation and runbooks - A team that can operate it independently I build boring, predictable systems on purpose. Boring systems survive audits, scale events, and 3am incidents. If you’re dealing with cost pressure, reliability issues, or compliance risk, send me your biggest concern. I’ll tell you exactly what I would fix first and whether it’s worth doing. If it’s not a fit, I’ll say so.

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

Most AI systems work in a demo. I help funded SaaS teams make them reliable, secure, observable, and affordable in production. I build AI agents, RAG systems, workflow automation, and the AWS infrastructure required to operate them. I work across the full delivery path: clarify the business problem, design the architecture, implement the critical path, connect the system to existing APIs and data, and prepare it for production ownership. Teams usually bring me in when: - a RAG system returns inconsistent answers, times out, or lacks evaluation; - an AI-agent prototype needs dependable tools, state, approvals, and failure handling; - an AI workflow must integrate with an existing SaaS product or business process; - AWS infrastructure is difficult to deploy, debug, secure, or control financially; or - the team needs one senior engineer who can connect AI behavior with production architecture. My core work includes: AI agents and automation — tool-calling workflows, structured outputs, human approvals, state management, API integrations, retries, guardrails, and operational failure paths. Production RAG — document ingestion, retrieval design, prompt and response structure, evaluation plans, access boundaries, latency review, observability, and cost-per-request analysis. AWS architecture — Amazon Bedrock, Lambda, API Gateway, DynamoDB, S3, Step Functions, EventBridge, SQS, Cognito, ECS, EKS, Terraform, CDK, CloudWatch, and production delivery workflows. Visible Upwork proof includes 100% Job Success, Top Rated status, $80K+ earned, more than 2,400 hours, and 40 completed jobs. One production Cognito, Lambda, and SQS engagement ran for 686 hours and earned a five-star client review. Other five-star, client-endorsed work includes AWS infrastructure with Terraform, SaaS cost and reliability analysis, a production RAG pipeline fix, multi-cloud delivery improvements, and AI/ML workflow automation. I will push back when a deterministic workflow is safer than an autonomous agent, when a simpler AWS design will ship faster, or when an AI feature lacks evaluation, rollback, observability, or cost controls. I communicate architecture decisions directly and document the trade-offs so your engineering team can operate the system after handoff. To start, send me: 1. Your current stack 2. What you are trying to ship 3. What is failing, risky, or unclear I will respond with the first production risks I see and the most practical next step.

🎖 AWS Certified Solutions Architect – Professional 🎖 AWS Certified Solutions Architect – Associate 🎖 CISA Certified Information Security Expert 🎖 16+ Years in Cloud Security, Compliance & AI-Driven Automation 💡 Track Record: ✅ 6,900+ Hours on Upwork ✅ 200+ Successfully Delivered Projects ✅ Top Rated Plus Freelancer When businesses need to secure their cloud infrastructure, pass a compliance audit, or build AI-powered DevSecOps pipelines — they come to me. I'm a CISA-certified Cloud Security and Compliance Expert with 16+ years of experience helping startups, enterprises, and regulated industries build systems that are secure, audit-ready, and future-proof. What sets me apart today is my ability to combine deep compliance and security expertise with modern AI capabilities — including Agentic AI workflows, prompt engineering, and intelligent automation — to deliver faster results with fewer manual bottlenecks. Over 200+ projects and 6,500+ hours on Upwork, I've helped organizations across the US, Europe, and Middle East strengthen their security posture, achieve certifications, and ship secure products without slowing down their engineering teams. 🤖 AI & Intelligent Automation Skills (New & In-Demand) ✅ Agentic AI Development — Design and deploy autonomous AI agents for compliance monitoring, security alerting, and audit evidence collection using LangChain, AutoGen, and CrewAI frameworks ✅ Prompt Engineering — Craft production-grade prompts for security analysis, policy generation, risk assessment automation, and compliance documentation using GPT-4, Claude, and open-source LLMs ✅ AI-Powered DevSecOps — Integrate AI-driven code scanning, vulnerability detection, and automated remediation into CI/CD pipelines ✅ Intelligent Compliance Automation — Build AI workflows that continuously monitor controls, flag gaps, and generate audit-ready evidence — reducing manual compliance effort by up to 70% ✅ LLM Integration & Development — Integrate large language models into security dashboards, internal tools, and compliance platforms via REST APIs and SDKs 🔐 Core Expertise: Security, Compliance & Governance ✅ IT Compliance & Audit Readiness HIPAA, PCI-DSS, GDPR, ISO 27001, SOC 1 & SOC 2 implementation and audit support DPDP Act compliance frameworks and governance Risk assessments, gap analysis & security control mapping Policy development, security documentation & AI-assisted monitoring ✅ Security Audits, VAPT & Risk Mitigation Comprehensive security audits with detailed, actionable reporting Cloud Security Audits across AWS & Azure environments Vulnerability Assessment & Penetration Testing (VAPT) CIS Benchmarks and NIST framework enforcement Enterprise-wide vulnerability management & remediation planning ✅ DevSecOps & Cloud Security Engineering DevSecOps with Zero Trust architecture and AI-assisted threat detection Cloud Security Posture Management (CSPM) AWS Security Hub, GuardDuty, Inspector Azure Security Center & governance policies Secure CI/CD pipeline automation with built-in AI-powered security controls ☁️ Cloud & DevOps Engineering Cloud Platforms AWS (EC2, ECS, EKS, Lambda, IAM, S3, Route 53, RDS, CloudFormation) · Microsoft Azure (AKS, VMs, VNets, Azure DevOps, Azure Monitor) · Kubernetes · Docker · Terraform · Helm · GitOps · Ansible · Jenkins CI/CD & Infrastructure as Code GitHub Actions · GitLab CI/CD · Azure Pipelines · Terraform · CloudFormation · Automated deployments & release management Monitoring, Observability & Incident Response Prometheus · Grafana · OpenTelemetry · AWS CloudWatch · ELK Stack · Datadog · AI-assisted threat monitoring · Disaster recovery & business continuity planning 💡 What You Get Working With Me ✅ Compliance-ready security frameworks built for audit day ✅ AI agents and automation that cut manual compliance work dramatically ✅ End-to-end security audits with clear, prioritized remediation plans ✅ Secure, scalable cloud infrastructure with proactive AI-powered monitoring ✅ DevSecOps pipelines with security and intelligence baked in from day one ✅ A single expert who speaks both security and AI — no need to hire two people 📞 Available now for cloud security audits, SOC 2 / ISO 27001 compliance, DevSecOps implementation, VAPT, Agentic AI development, and intelligent compliance automation. 🚀 Let's talk about how I can help you build a system that's secure, compliant, and ready for the AI-driven future.

Senior Full Stack & AWS DevOps Engineer with 8+ years of experience building and stabilizing production systems for startups, agencies, and enterprises. Clients typically bring me in for two kinds of work: building new SaaS platforms and applications from the ground up, or fixing critical issues in existing systems that other developers couldn't resolve. Recent examples include resolving a multi-tenant data isolation bug in a Node.js and PostgreSQL platform, setting up HAProxy with Consul integration across a 3-node production cluster, and diagnosing AWS infrastructure issues that were causing live outages. I work across the full stack, React, Next.js, Node.js, NestJS, PostgreSQL, MongoDB, paired with deep AWS and DevOps expertise, AWS, Docker, Kubernetes, Terraform, CI/CD pipelines. I've contributed to platforms across healthcare, HRMS, warehouse automation, fintech, automotive, and SaaS, serving thousands of users. Core Expertise Full Stack Web Development, SaaS Platform Architecture, Multi-Tenant Application Design, REST API and GraphQL Development, Microservices Architecture, Cloud Infrastructure and DevOps, CI/CD Automation, Performance Optimization, Security and Authentication, Database Design and Optimization Frontend : React.js, Next.js, TypeScript, Redux, Tailwind CSS, Material UI, JavaScript (ES6+), HTML5, CSS3 Backend : Node.js, NestJS, Express.js, Python, Django, Laravel, REST APIs, GraphQL, WebSockets Databases : PostgreSQL, MySQL, MongoDB, Redis AWS and DevOps : AWS EC2, S3, RDS, Lambda, CloudFront, Route53, Docker, Kubernetes, Terraform, Nginx, GitHub Actions, Jenkins, Cloudflare Security and Authentication : JWT, OAuth 2.0, AWS Cognito, RBAC, SSO Testing and QA : Jest, Cypress, Mocha, Postman Whether you're building a new SaaS platform, scaling existing infrastructure, or need someone to debug and fix a production issue quickly, I can help take it from where it is to where it needs to be. Let's talk about your project.

Certifications: Linux Professionals Institute - LPIC-1 AWS Certified SysOps Administrator - Associate AWS Certified DevOps Engineer - Professional I am a Senior DevOps / Cloud Infrastructure Engineer specializing in AWS architecture, production reliability, compliance readiness (SOC 2 / ISO 27001), and scalable multi-environment infrastructure. I help startups and growing SaaS companies stabilize, secure, and scale their AWS environments — often stepping in to audit, fix, and modernize existing infrastructure. To date, I have: • Designed and restructured multi-account AWS environments (dev/staging/prod isolation) • Built and maintained ECS Fargate production clusters • Migrated legacy servers to containerized workloads • Implemented Terraform-based Infrastructure as Code across multiple organizations • Led SOC 2 readiness initiatives including security hardening and risk remediation • Recovered unstable production systems under live traffic AWS Architecture (Advanced) • Multi-account architecture (Organizations, SCPs, IAM boundaries) • ECS Fargate, EC2, ALB/NLB, Auto Scaling • RDS (Aurora Serverless v2), MySQL/Postgres optimization • S3, CloudFront, WAF, Route53 • VPC design, subnet isolation, NACL hardening • Secure parameter management (SSM, Secrets Manager, KMS) • CloudWatch monitoring, alerting, log aggregation DevOps & Automation • Terraform (modular, environment-aware design) • GitHub Actions & CI/CD architecture • OIDC-based GitHub → AWS authentication • Ephemeral preview environments per PR • Blue/Green & zero-downtime deployments • Docker production optimization • Cost optimization & AWS spend audits Security & Compliance • SOC 2 Type I / II preparation • IAM least-privilege design & MFA enforcement • Encryption at rest & in transit (KMS, TLS policies) • Secrets rotation & audit logging • Risk assessments & remediation roadmaps • Security architecture documentation Databases & Data Operations • Production MySQL / Postgres migrations • CouchDB clustered deployments (n=3, q=8) • Shard recovery & disaster recovery planning • Backup validation & restore testing • Schema migrations (Alembic, Laravel, etc.) I do not apply superficial fixes. I audit environments thoroughly, document risk exposure, and implement long-term infrastructure improvements designed for scalability, security, and operational clarity. If you need a senior-level DevOps engineer who understands production systems, compliance pressure, and business continuity, I would be glad to assist.