Hire the Best AWS Systems Managers

As an AWS Advanced Tier Partner and Claude Partner, we help startups and enterprises design, build, deploy, and scale reliable AI solutions. ✅ AWS Advanced Tier Partner ✅ Claude Partner ✅ Enterprise AI Specialists ✅ Production-Ready AI Solutions ✅ Secure & Scalable Architecture ✅ Strong AI + Cloud Engineering Team ---------------------------------- Common Use Cases ---------------------------------- Automating legacy business workflows using GenAI and AI Agents Designing and building custom MCP (Model Context Protocol) servers Connecting legacy databases to MCP servers Building custom MCP tools for enterprise applications Connecting CRMs, ERPs, APIs, and internal systems to AI Developing AI agents that can read, reason, and take actions Building multi-agent systems for complex business workflows Creating enterprise AI copilots for employees Building customer support AI assistants Developing Retrieval-Augmented Generation (RAG) applications Integrating AI with existing SaaS products Automating document processing, extraction, and classification Building AI-powered search across enterprise knowledge Creating voice AI agents and AI calling systems Modernizing enterprise applications with Amazon Bedrock, Claude, and OpenAI Building secure AI APIs and backend services Deploying scalable AI solutions on AWS ------------------------- Expertise ------------------------- AI Workflow Automation Automating legacy workflows using GenAI AI-powered business process automation Intelligent workflow orchestration Human-in-the-loop AI systems Agentic AI Production-ready AI Agents Multi-Agent Architectures AI Copilots Autonomous task execution Tool-using AI Agents Planning and reasoning workflows MCP (Model Context Protocol) Designing and building MCP Servers Building custom MCP Tools Connecting legacy databases to MCP Connecting CRMs, ERPs, APIs, and enterprise systems through MCP Secure enterprise MCP deployments Enterprise AI Integration Internal AI assistants Customer support AI Enterprise knowledge assistants AI integrated into existing applications RAG (Retrieval-Augmented Generation) Document Intelligence Intelligent Document Processing Contract extraction Invoice processing Medical document analysis Legal document processing PDF understanding Document classification and indexing Reliable AI Engineering AI Evaluation frameworks Prompt Engineering AI Guardrails AI Testing Reliable AI system design Continuous AI improvement AI Observability AI tracing Agent monitoring Workflow debugging Performance monitoring Production observability Cost optimization Production Deployment Amazon Bedrock implementations Claude integration OpenAI integration AWS deployment Scalable cloud architecture Production AI infrastructure Technologies Model Context Protocol (MCP) Claude Amazon Bedrock OpenAI Gemini LangGraph LangChain LangSmith CrewAI Python FastAPI Node.js AWS Lambda ECS EKS Docker Kubernetes Terraform Pinecone PostgreSQL MongoDB Redis n8n Whether you need to automate legacy workflows, build MCP servers, design Agentic AI systems, integrate AI into enterprise software, or deploy production-grade AI on AWS, we can help turn your AI vision into a reliable, scalable solution. Let's build AI that doesn't just answer questions—it gets work done.

With over 10 years of hands-on experience in architecting, automating, and optimizing mission-critical applications in AWS, I help businesses streamline their infrastructure, reduce operational overhead, and launch faster. From startups building their first cloud environment to enterprises modernizing legacy systems—I bring a track record of delivering impactful results. What I bring to your project: • Cloud Infrastructure Design & Automation ☁️ I specialize in Infrastructure as Code (IaC) using AWS CloudFormation and Terraform, enabling repeatable and robust infrastructure. • Serverless & Scalable Backends ⚙️ I’ve architected and launched serverless applications using Lambda, API Gateway, DynamoDB, ECS Fargate, and much more—powering everything from AI tools to mobile games with thousands of daily users. • DevOps & CI/CD Pipelines 🚀 I build fully automated pipelines to accelerate your development lifecycle, reduce errors, and ensure fast, reliable deployments. • Python-Powered Solutions 🐍 From automation scripts to backend services, I leverage Python to drive efficiency and innovation. • Cloud Security & Cost Optimization 🔐💰 I ensure your environments are secure, compliant, and cost-effective. I’m passionate about helping businesses get the most out of the cloud. Whether you’re launching a new product, modernizing infrastructure, or looking to optimize for scale, I’m here to help you succeed.

📣 FREE technical consultation (details below) 🐻 Proud UC Berkeley graduate (Applied Mathematics & Economics) and an entrepreneurial, reliable full-stack software developer with broad expertise across modern technologies (listed below). 💪💪💪 With experience as: • Full-Stack Team Lead at Camping World, a publicly traded company • Lead Technical Teaching Assistant at Hack Reactor, a leading software engineering bootcamp • Founder of Atini Studio, a high-performance software development agency With years of experience working with clients and leading engineering teams, I prioritize accountability, clear communication, and efficient execution. 🌈🌈🌈 I’m the founder of Atini Studio, a vibrant software development agency and a team I like to call software doctors: highly skilled engineers and creative UI/UX designers who diagnose, fix, and elevate digital products. ⌨️⌨️⌨️ What I help clients with: 📌 MVP development for startups 📌 Full-stack web applications 📌 Cross-platform mobile apps 📌 AI-powered features & integrations 📌 Clean implementation from Figma to production 📌 API integrations (Stripe, OpenAI, Google, Zoom, etc.) 📌 Performance optimization 📌 Technical architecture planning 📌 Product roadmap & scaling strategy We also leverage AI internally to accelerate development workflows and improve efficiency, so you get faster delivery without sacrificing quality. 🧩 Complimentary Technical Consultation Not sure how to move forward with your product? I can help you clarify: • The right tech stack • MVP scope • Timeline and budget expectations • System architecture decisions • Whether your current product is built correctly I offer a complimentary strategy session to help you create a clear and practical execution plan. 💻 Tech Stack: • Front End JavaScript | TypeScript | React | Next.js | React-Native | Angular | Vue.js | Tailwind CSS • Back End Node.js | NestJS | Python | Django | PostgreSQL | MongoDB | MySQL | ORM | GraphQL • API Integrations ChatGPT / OpenAI | Stripe | Google | Zoom | and more... • DevOps Amazon Web Services (AWS) | Firebase/GCP(Google Cloud Platform) | Azure | Docker • Testing Jest | Mocha | TDD • Developer Tools Git | npm | Webpack | Babel | Agile Methodology | Nginx • Design Adobe XD | Figma

🏅 Top Rated Plus | 100% Job Success | 🚀 7+ years shipping production software Your team is burning $50K–$500K a year on work AI should already be doing. I build the systems that reclaim it: I pinpoint the waste, automate it, and ship it to production. Not prototypes, not demos, real systems running 24/7. I'm an AI Developer and AI-powered Full Stack Engineer with a strong machine learning foundation, and I lead a team that takes extreme ownership of what we ship. As an AI Developer, I take projects from idea to production: AI architecture, AI agents, agentic workflows, and RAG pipelines, grounded in real machine learning rather than wrappers. As a Full Stack and Web Developer, I build the product around them in React, Node, and Python. And as an AWS architect, I deploy and harden everything with observability, security, and cost optimization, so you get an AI system that ships fast and runs reliably in production. 🐾 Pet Health Care System — AI-native OS for vet hospitals; unifies scheduling, records, billing, imaging across 6–12 tools. Targets 40% of a vet's day lost to paperwork, $50K–$100K/yr no-show losses, 8–12% of procedures never invoiced. Built with Next.js, NestJS, PostgreSQL, Python AI, AWS. 🏨 Hotelly — All-in-one hotel ops platform: CRM, billing, tasks + Apple TV (tvOS) in-room entertainment. 70–95% less manual reset effort, 50–80% faster provisioning, 60–90% less admin time. Built with React, React Native, Node.js, PostgreSQL, AWS by AI Developers. 📄 DocuPulse — AI document intelligence inside Excel for finance & compliance teams. Processing 5–10 min → under 1 sec, 94% cost reduction, 88–99% accuracy. Built with React, Node, ElasticSearch, AWS. 🪟 Fenestra — AI order intelligence turning WhatsApp/emails into error-free POs in under 60 sec across 25,000+ SKUs. Live inventory checks, accurate orders before dispatch. Built with Next.js, NestJS, PostgreSQL, LangChain, Claude. 🛒 Smart Shop AI — Ecommerce intelligence unifying Shopify, Google Ads & Meta with a conversational AI analyst. Real-time insights, anomaly alerts, campaign recommendations. Built with NestJS, React, PostgreSQL, LangChain. ✅ AI Agents & Agentic AI: As an AI Developer and agentic AI developer, I design AI agents and multi-agent systems that run agentic workflows across LangGraph, CrewAI, n8n, and Zapier, designed to scale operations without adding headcount. ✅ AI Voice & AI Chatbots: I build voice AI agents and conversational AI on the OpenAI Realtime API, LiveKit, ElevenLabs, Deepgram, and Whisper, plus WhatsApp, Telegram, and web chatbots wired to real business logic. ✅ RAG & LLM Engineering: I build hallucination-resistant RAG pipelines in Python over Pinecone, Weaviate, Qdrant, ChromaDB, LanceDB, and Amazon OpenSearch, using hybrid search, re-ranking, chunking, and embeddings. ✅ AI Orchestration: I orchestrate LLM applications in Python with LangChain, LangGraph, and LlamaIndex, connecting the OpenAI API, Anthropic Claude (Sonnet, Opus, Haiku), AWS Bedrock, and Vertex AI through MCP servers, function calling, and structured outputs. ✅ Machine Learning & Data Science: As a machine learning engineer working alongside data scientists, I take models across the full lifecycle, from data pipelines and feature engineering to training, evaluation, and deployment. ✅ Document Intelligence: I turn documents into answers with PDF parsing, OCR, and document Q&A over knowledge bases and ERP integrations. ✅ Prompt Engineering: I engineer reliable model behavior through system prompt architecture, chain-of-thought, and prompt chaining, then harden it with prompt optimization, evals, and guardrails. ✅ Generative AI Models: I work across GPT-4o, GPT-4 Turbo, o1, and o3, Claude Sonnet, Opus, and Haiku, Gemini 1.5 and 2.0, LLaMA, Mistral, and Whisper, picking the right model for each job. ✅ Full Stack & Web Development: As a full stack developer, web developer, and Python developer, I build full stack apps with React, Next.js, TypeScript, and Tailwind CSS on the front end, and Node.js, NestJS, Express, and Python (FastAPI, Django, Flask) on the back end, including work as an AI website developer and app developer building AI web apps around real product logic. ✅ AWS Architecture & Cloud: As an AWS cloud architect and AWS solutions architect, I handle AWS architecture end to end, deploying on AWS using Lambda, EC2, ECS, EKS, Fargate, S3, RDS, Aurora, DynamoDB, SQS, SNS, EventBridge, CloudFront, API Gateway, VPC, IAM, KMS, WAF, and Secrets Manager. AWS Certified Cloud Practitioner. ✅ No-Code & Workflow Automation: As an Airtable developer, I connect tools like Airtable, n8n, Zapier, and Make into automated workflows that move data and trigger actions automatically. ✅ Integrations: I connect products to the tools businesses already run, including Stripe, HubSpot, Salesforce, NetSuite, Plaid, Yodlee, HL7/FHIR, Slack, MS Teams, and WebRTC. 📩 Send me your project brief. I'll reply within 2 hours with a concrete action plan.

Most teams don’t fail because their cloud isn’t powerful enough — they fail because their infrastructure isn’t predictable, automated, or observable. A lot infrastructure problems don’t show up at scale — they show up when teams can’t ship, costs spiral, or reliability becomes a blocker to growth. That’s where I come in. I’m Damipe (D1), a Platform Engineer who builds cloud foundations that help product teams move faster without sacrificing security, reliability, or cost control. My work sits at the intersection of AWS, GCP, Azure Terraform, CI/CD, Kubernetes, and developer experience. Instead of treating infrastructure as a support function, I design platforms that: • Enable self-service infrastructure with safe defaults • Make deployments boring, repeatable, and auditable • Reduce cloud spend through clear architecture and cost awareness • Remove friction between product, security, and operations teams I’ve worked across cloud architecture, CI/CD pipelines, release reliability, and automation, helping teams turn ideas into production systems that leadership can trust and understand. My mission is simple: eliminate manual friction, strengthen reliability, and help teams move faster with confidence. Over the years, I’ve led initiatives that: * Reduced deployment time by 90% through Infrastructure as Code with Terraform & Pulumi. * Increased platform uptime to 99% through proactive monitoring using CloudWatch and Prometheus, while implementing automated, cost-optimized scaling to balance reliability and spend. * Improved database efficiency by 90%, tuning AWS RDS and integrating automated backups.Cut manual effort by 80%. *Cut Cloud Cost by 50% By Rightsizing resources while maintaining system reliability. But I didn’t start as a cloud expert. My journey began in network engineering, troubleshooting real-world systems where downtime meant everything. That hands-on experience shaped how I approach cloud reliability today — blending automation, observability, and strong network fundamentals to ensure every system I design performs at scale. Here’s a quick look at my focus areas: • Who I help: Teams scaling AWS environments or maturing DevOps pipelines • Problems I solve: Infrastructure drift, deployment bottlenecks, unreliable systems • Outcomes I deliver: Faster releases, higher uptime, and efficient cloud operations. If you’re building something ambitious — let's connect & build solutions that solves real world problem

✅ Available Now | 🎯 Top Rated Plus | 💯 100% Job Success I help startups and enterprises design and build production-grade GenAI systems, including AI agents, RAG pipelines, and LLM-powered platforms, using AWS Bedrock, OpenAI, and scalable cloud architecture. With 11+ years of engineering experience and a strong track record of delivering complex systems, I specialize in turning AI concepts into reliable, scalable, real-world applications. Most developers can integrate AI APIs. I focus on building end-to-end AI systems that actually work in production. What I Build ✅ AI Agents & Autonomous Workflows » Multi-step reasoning systems that automate business operations, decision-making, and task execution. ✅ RAG (Retrieval-Augmented Generation) Systems » Knowledge assistants built on internal data (PDFs, CRMs, databases) with citation-based answers and hallucination control. ✅ AWS Bedrock-Powered AI Solutions » Enterprise-grade GenAI systems using Claude/Titan with structured outputs, secure architecture, and scalable pipelines. ✅ LLM-Powered SaaS Platforms » End-to-end AI product development with clean architecture, real-time processing, and cost-optimized LLM usage. ✅ AI Analytics & NL2SQL Systems » Query your data in natural language, turn dashboards into conversational intelligence tools. ✅ AI Workflow Automation » Combine LLMs with APIs, scraping, and business logic to eliminate manual processes. Why Clients Hire Me → AI System Thinking I design complete AI architectures, not just prompts or APIs → Production-Ready Approach Built for scale, latency control, and cost efficiency → Business-First Execution Every system is aligned with measurable outcomes (efficiency, automation, ROI) → Fast Execution on Existing Systems Can jump into projects with ready docs, schemas, or wireframes ✅ Rapid Prototyping → Production AI Systems » Design and build fast AI prototypes (POCs/MVPs) to validate ideas, test feasibility, and demonstrate value. » Seamlessly transition prototypes into scalable, production-grade systems without rework. » Ideal for startups and teams exploring GenAI use cases before full investment. What Clients Say ~ “They consistently exceeded our expectations… a true partner in our automation journey.” “Delivered ahead of schedule with clean architecture and clear communication.” “They have no boundaries in terms of ability…” Results Delivered → Built enterprise AI document & workflow platforms with semantic search and automation → Delivered RAG systems with strict knowledge grounding and citation accuracy → Developed AWS Bedrock-based AI assistants for structured data extraction → Created AI-powered analytics systems with natural language querying → 10,000+ hours across SaaS, AI, and automation systems → 100% client satisfaction across all Upwork contracts Best Fit Projects → Building AI products (not experiments) → Implementing RAG / AI agents / automation systems → Migrating to AWS Bedrock or scalable GenAI infra → Adding AI capabilities to existing platforms Let’s Build AI Systems That Actually Work If you’re serious about using AI to solve real problems, not just testing ideas, I can help you design and build a system that delivers measurable impact.