Hire the Best Amazon DynamoDB Developers

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.

Overview: You have an AI product idea — or an existing product that needs AI built into its core. You need someone who won't just write code, but make the hard architectural decisions that determine whether your product scales or breaks at 10,000 users. That's what I do. I've shipped 5 AI-native products in the last 2 years, each running in production with real users today. Not prototypes. Not demos. Production systems handling real data, real money, and real compliance requirements. Recent results: → Built an AI conversation intelligence platform that analyzes calls across 19 dimensions in real-time — now processing hundreds of conversations daily for a US-based SaaS company → Delivered an AI medical education platform with 11 LLM-powered endpoints, integrating clinical evidence from randomized controlled trials — used by healthcare professionals for continuing education → Shipped an AI learning platform with 9 specialized AI pipelines — 500+ study hours saved for users within months of launch → Architected an AI-powered industrial support system with vector search and multi-tenant isolation — deployed across operator, technician, and admin roles for a European client What makes me different from other AI developers: Most developers bolt AI onto existing products as a feature. I architect systems where AI is a core capability — from database schema to user experience. Every project I deliver includes production infrastructure (CI/CD, monitoring, error tracking), not just application code. I also run a team at Growth Loops Technology, which means I can scale up when your project needs it — without you managing multiple freelancers. I'm the right fit if you need: → An AI-native product built end-to-end (backend, AI pipelines, deployment) → LLM integration done properly (structured output, RAG, multi-stage pipelines) → A senior architect who can own technical decisions and communicate clearly → Someone who ships on schedule and writes code that holds up in production Technical depth (for the engineers reading this): Backend: NestJS, Node.js, TypeScript, Python, FastAPI, Django AI/ML: GPT-4o, Claude, LangChain, LangSmith, Whisper, AssemblyAI Data: PostgreSQL, Redis, BullMQ, Pinecone, OpenSearch, Meilisearch Infra: Docker, GitHub Actions, AWS, Cloudflare R2, Sentry 15+ years of software engineering. Every project delivered with authentication, async job processing, multi-tier caching, and production monitoring baked in from day one.

Get $100 AWS Credit + a complimentary, No-Strings-Attached AWS Cloud Assessment. ⭐⭐⭐⭐⭐ "Rarely have I worked with someone as skilled and thorough as Carlos is. Setting up my team on git, configuring our AWS servers to be safe, scalable, and fast, working with my developers to optimize code, being a good person". James Rector, UPWORK 100+ 5-star projects, I'm one of highest-rated and highest-earning AWS freelancer on UPWORK. I have been helping SaaS businesses to build scalable, secure, highly available and high-performing environments on AWS following DevOps/Dev Ops best practices. Here is what I can help you with: ✅ Review of your AWS current architecture performance, security and costs ✅ Architecture of new AWS infrastructure and Data Pipelines ✅ Migrations to AWS, AWS Cost Reduction, Database Optimisations, DevOps Engineer ✅ Managed Services SLA Problems that I solve: ⚡️ Performance At Scale: I build and deploy industry-tested and proven infrastructure code that ensures your application runs and performs fast without compromising security. ⚡️ Cost Optimisation: My infrastructure architecture enables the efficient use of resources and can help you save up to 90% in your AWS costs ⚡️ Security & Compliance: I can help you Scale and innovate quicker while building a solid foundation that will help you maintain a secure, compliant environment. ⚡️ Training & DevOps. I can help you increase your team's technology adoption while automating your DevOps/ Dev Ops processes. Technologies that I adopt and I'm an expert at: ➡️. AWS services such as s EC2, ECS, EKS (Kubernetes), S3, RDS, Step Functions, Lambda, AWS Gateway API, DynamoDB, Beanstalk, Elasticache, SNS, SES, IAM, ControlTower, WAF, Shield, Cloudformation, Cloudfront, CloudWatch, VPC, Route 53, Certificate Manager and others. ➡️. Supporting services such as CDK, Terraform, Rancher, ISTIO, Prometheus, Grafana, Teleport, Papertrail, Graylog, New Relic, Dynatrace, DataDog, Kafka, NEO4J and Spot.io. ➡️. Strong CI/CD DevOps engineering using GitHub/BitBucket Pipelines, CircleCI, ARGOCD. Industries: - FinTech - Media - Ecomm - and more! Here are some of the case studies of the clients I have helped with: 1. MONETRACK - Deploying a client stack in minutes on AWS instead of weeks Industry: Finance Problem: An unreliable process that caused constant frustration and delays. Process: Each deployment would take days to weeks to be set up, requiring between 5-6 people. Results: They now deploy a client stack in minutes instead of weeks using AWS EKS and a customised CI/CD process. In addition, I have: · Improved deployment time from weeks to minutes. · 80% reduction in costs per deployment. · Secure alignment with their client's compliance requirements. 2. Tourism Media - Great flexibility, deploying applications faster and secure on AWS Industry: Media Problem: With no CI/CD integration across all deploys, the job to integrate each stack was inconsistent and pruned to errors. Process: Deployment was not consistent across the board; they were also not resource-friendly Result: They can now push out a consistent deployment process across the company while being quickly adopted by their teams. In addition, I also have: · Improved deployment time by 60% · 70% costs reduction in EC2 instances · Greater scalability and reliability than their Legacy infrastructure. 3. Value-Ad - Scale 10X more on AWS with great stability and without the extra cost. Industry: Finance Problem: An infrastructure that could not scale securely and effectively was harming their client base. Solution: Deploy a new AWS EKS (Kubernetes) environment that is scalable, highly available, secure (PCI-DSS compliant) and cost optimised using AWS Well Architect Framework best practices. Result: They can now handle 10X more requests with excellent stability and without extra cost than their legacy infrastructure. In addition, I have added: · Greater scalability and reliability · Deployments are simplified and done in minutes instead of hours · 32% cheaper than its previous infrastructure Now a bit of myself: I'm a passionate professional with 25 years of experience in enabling business strategies through the practical application of technology architecture principles, practices, and tools. User-centric and solution-oriented, I have managed projects and teams across Australia, New Zealand, the USA, Brazil, the UK, Ukraine, Singapore, Vietnam and India over the past 14 years. A problem-solver in a broad range of technology stacks covering Architecture, Development, Integration, Data, Infrastructure, and Support. Seamless configuration and migration include fast deployment of critical and complex workloads on the cloud with hands-on expertise in AWS Services. Send me a message. I would love to discuss your project.

I help teams ship with confidence — catching the bugs that matter before they reach production. With 9+ years in IT and 6+ years as QA (fintech, IoT, SaaS) and a background in technical support and project management, I bring both testing depth and cross-functional perspective. What I specialize in: 🔹 API & Backend Testing — test suite design in Postman/Newman, backend contract validation, DB checks via MySQL/DataGrip, request tracing with Fiddler/Charles 🔹 Log-Driven Debugging & RCA — root cause analysis using AWS CloudWatch, New Relic, Graylog; reducing time-to-fix and improving production signal quality 🔹 Test Strategy & Documentation — test plans, regression packs, and release checklists in Confluence, Qase, Allure TestOps that teams actually use 🔹 Multi-Platform Coverage — web, mobile (Android/iOS), hardware integrations, cross-browser testing via BrowserStack and Chrome DevTools What you get working with me: ✅ Shift-left mindset — I push API checks into CI early, cutting late-stage regressions ✅ Clear, structured defect reports developers can act on immediately ✅ Cross-functional communication — I work fluently with engineering, support, and business ✅ Technical writing background — I can own documentation and process, not just testing Tools: Postman · Newman · Jira · Confluence · Qase · Allure TestOps · Fiddler · Charles · AWS · New Relic · MySQL · DataGrip · GitLab · Git · BrowserStack · Chrome DevTools · VirtualBox Ready to help make your next release a confident one — let's connect.

Hello! I'm Mohamed Karam Hassoun, an AWS Engineer specializing in serverless architecture and a completed AWS Certified professional. With over 4 years of dedicated experience, I excel in crafting efficient, scalable, and cost-effective solutions on the AWS platform. 🔹 Comprehensive AWS Proficiency: From EC2 instances to load balancers, I've mastered a wide range of AWS services, ensuring holistic solutions tailored to your needs. 🔹 Robust Serverless Expertise: Proficient in AWS Lambda, API Gateway, and CloudFormation, I've delivered numerous successful serverless applications. 🔹 Multilingual Development: Utilizing Node.js and Python, I harness AWS's power to build seamless, performant applications. 🔹 Data Handling Mastery: Leveraging Amazon S3 for storage, DynamoDB for NoSQL, and more, I optimize data management in serverless environments. 🔹 Advanced Media Solutions: Experience with AWS Textract, MediaLive, MediaConvert, MediaPackage, Transcribe, and Translate enhances my toolkit for versatile solutions. 🔹 Data Analytics and ETL: Proficiency in services like Athena and AWS Glue empowers me to efficiently transform and analyze data. 🔹 Linux Scripting and DevOps: Adept at scripting and managing Linux environments, I streamline deployments and enhance operational efficiency. Collaboratively, we'll elevate your business using AWS. Reach out, and let's discuss how I can fulfill your project needs effectively!

I help startups and growing businesses build scalable SaaS products, AI-powered applications, cloud infrastructure, and backend systems that are designed for long-term growth. Over the last 10+ years, I've worked as a CTO, Engineering Manager, and Senior Full-Stack Engineer, helping companies take products from idea to production while keeping performance, scalability, and maintainability at the core. A few projects I've worked on: • PrepLadder (Acquired by Unacademy) Led engineering for a platform serving over **2 million users**, working on AWS microservices, DRM-protected video streaming, personalized learning systems, and large-scale backend architecture. • Enciser Co-founded an IoT and energy management platform where I designed a serverless AWS architecture for real-time device monitoring, mobile applications (iOS & Android), and cloud-based automation. • Enterprise Platforms Built backend systems, cloud infrastructure, and distributed applications for companies including Zucora, TruckBook, Emerald Planet, and Kryptet, using Go, Python, Kubernetes, Docker, Redis, Cassandra, and modern cloud-native architecture. Across my career, I've helped design and deploy 50+ production applications across SaaS, AI, IoT, marketplaces, fintech, and enterprise platforms. My core expertise • Backend Development Python, Node.js, Go, Django, Flask • Frontend React, React Native, Next.js • Databases PostgreSQL, MySQL, MongoDB, DynamoDB, Cassandra, Redis, ScyllaDB • Cloud & DevOps AWS, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Ansible • Integrations Stripe, Twilio, OpenAI, Firebase, Shopify, Slack, SendGrid, Google Maps, Zendesk, and other third-party APIs. What I usually help clients with : ✔ Building scalable backend architecture ✔ AI & LLM integrations ✔ SaaS product development ✔ API design and third-party integrations ✔ Real-time applications using WebSockets, MQTT, and event-driven systems ✔ Cloud infrastructure, DevOps, and deployment automation ✔ Engineering leadership and technical architecture What it's like working with me I don't just write code,I help clients make good technical decisions.I'm comfortable joining an existing codebase, understanding how it works, identifying bottlenecks, and delivering features that are easy to maintain as the product grows. I believe in clean architecture, clear communication, proper documentation, and shipping reliable software instead of quick fixes. I've worked with distributed teams across Canada, Australia, Sweden, and India, and I'm equally comfortable working independently or collaborating closely with founders and engineering teams. If you're building a product that needs to scale, I'd be happy to discuss how I can help. ramansaini.in