I help SaaS and AI teams build, migrate and stabilize production Kubernetes on AWS. Platform engineering, EKS, Terraform, CI/CD, cloud migration, cost control, and the GPU and inference infrastructure AI products need. CKA and CKAD, hands-on. Most of my work falls into one of five problems: 1. AI that works on a laptop but not in production. AI agents, LLM and RAG systems that fall over under real traffic. Evals, guardrails, GPU scheduling, inference cost control, CI/CD for models. This is where most AI projects actually die. 2. Kubernetes that keeps breaking. Nodes evicting, deploys that need a human at 2am, no observability. I make clusters boring. 3. Infrastructure you inherited and nobody documented. The original builders are gone, nothing is in code, and you are afraid to touch it. I take it over, map it, get it into Terraform, and hand you back something you can actually change. 4. Cloud bills that grew faster than the product. I cut a Danish SaaS company's spend by 40 percent with Terraform and multi-cloud rightsizing, and held a 99.9 percent SLA through the change. 5. Migration. AWS account to AWS account, on-prem to cloud, cloud to cloud, VM to Kubernetes. Planned, staged, and reversible. Selected work: - Built a multi-tenant Kubernetes platform for a funded UK company: 15+ cloud providers, GPU compute, a 100+ component marketplace. Live in production. - Designed Kubeflow and multi-cloud Kubernetes for a Norwegian ML platform. Still running in production 5+ years later, GDPR compliant. - Ran an on-prem Kubernetes and GPU research cluster for Imperial College London. 100 percent uptime across 2 years, bare metal. - Hardened Kubernetes and IaC for a Saudi fintech under SAMA requirements. - Architected HIPAA-aligned AWS infrastructure for a US healthcare SaaS. Stack: Kubernetes (EKS, AKS, GKE, K3s, RKE2, Rancher), Terraform, ArgoCD, GitOps, GitHub Actions, Helm, Docker, Linux, Istio, Vault, Keycloak, Prometheus, Grafana, Kubeflow, MLflow, PostgreSQL high availability, self-hosted and multi-tenant platforms, n8n, AWS, Azure, GCP, Python, FastAPI. SRE and platform engineering. Compliance: HIPAA, GDPR, SOC 2, SAMA. I work 30+ hours a week with 4 to 6 hours of overlap with US business hours, and I reply within a few hours on weekdays. Two ways to start. A fixed-price Kubernetes and cloud audit: I review your architecture, cost and reliability posture and hand back a prioritized remediation plan you own whether or not we work together. Or embed part-time on an ongoing basis, from 5 to 10 hours a week upward, as your platform engineer. Send me your current architecture or the specific failure you are hitting and I will tell you how I would approach it.

Need infrastructure that actually works at 3 AM without waking you up? That's what I build. I'm a DevOps and Cloud Engineer with 23 years in IT and two decades of hands-on systems administration. I've spent the last several years deep in AWS, Azure, Kubernetes, and infrastructure automation — helping companies stop firefighting and start scaling. What I actually do: I take messy, manual infrastructure and turn it into automated, self-healing systems. Whether you're running on bare metal and dreaming of the cloud, or you're already on AWS but your deployments take hours instead of minutes — I can help. My technical toolkit: Cloud & Containers: AWS (EKS, ECS, Lambda, RDS, and pretty much everything else), Kubernetes, Docker, Helm charts (I write custom ones, not just copy-paste) Infrastructure as Code: Terraform, CloudFormation and Ansible — because clicking around in consoles doesn't scale CI/CD Pipelines: GitHub Actions, GitLab CI, Jenkins, TeamCity. I've built pipelines that deploy 50+ times a day without breaking things Programming: Python and Golang (7+ years each), plus all the Bash you'd expect Databases & Networking: PostgreSQL, MySQL, MongoDB, DNS, VPNs, load balancing — the stuff that keeps everything connected The compliance piece: Here's something that sets me apart: I've done real HIPAA and SOC 2 work. Not just checking boxes, but actually implementing security controls, preparing for audits, and writing the documentation that satisfies auditors. If you're in healthcare or fintech, you know how valuable this is. How I work: I communicate clearly and often. No disappearing for days. I document everything because I know someone else might need to maintain this later (maybe even you). I estimate conservatively and deliver on time. I've worked with startups figuring out their first AWS setup, mid-size companies migrating off legacy systems, and enterprises untangling years of technical debt. Different scales, same approach: understand the problem first, then build something that lasts. Let's talk if you need: - Cloud infrastructure that scales without drama - CI/CD pipelines that actually speed up your team - Kubernetes done right (not Kubernetes done complicated) - Someone who gets compliance requirements

As a Cloud & DevOps Engineer, I help companies build reliable cloud infrastructure, DevOps platforms, infrastructure automation, and highly available systems using AWS, Kubernetes, Terraform, CI/CD, and modern security and monitoring practices. Today, I also help teams adopt AI-assisted development tools, including Claude Code and automation agents, in a practical, secure, and production-ready way. Modern DevOps is no longer only about infrastructure, pipelines, and servers. Teams are now building faster than ever with AI coding assistants, autonomous workflows, and vibe-coding tools. But fast AI-generated prototypes often need expert cloud, DevOps, security, and architecture work before they can become stable production systems. This is where my 20 years of hands-on IT experience, recognition by Upwork as an Expert-Vetted professional, and being featured in Upwork's Success Stories become real advantages. I am also the author of The Cloud DevOps Engineer's Guide, where I showcase the proven methodologies I apply to help organizations design, automate, secure, and scale resilient, cloud-native infrastructures. My core expertise includes: ✔️ Cloud infrastructure on AWS, Azure, GCP, and DigitalOcean. ✔️ Kubernetes, Docker, Helm, and production container deployments. ✔️ Terraform, Ansible, Infrastructure as Code, and environment automation. ✔️ CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, and other tools. ✔️ Claude Code, OpenClaw, and AI-assisted development workflow adoption. ✔️ AI-generated and vibe-coded application review, stabilization, deployment, and scaling. ✔️ Large codebase navigation, refactoring support, and development automation. ✔️ AI-assisted test generation, documentation workflows, and code review support. ✔️ Security reviews for code, cloud infrastructure, secrets, permissions, and deployments. ✔️ Custom AI agents for engineering, DevOps, monitoring, and code review workflows. ✔️ 24/7 monitoring, observability, alerting, logging, and incident-response automation. ✔️ DevSecOps, secure pipelines, automated checks, and production hardening. ✔️ Cost optimization, scalability, reliability, and high availability. ✔️ Linux, Bash, Python, networking, databases, distributed systems, and cloud-native architecture. My experience across AWS, Azure, GCP, Kubernetes, Terraform, Docker, CI/CD, monitoring, and security allows me to work not only as a DevOps Engineer but also as an AI-Augmented Platform Engineer, helping teams modernize how they build, deploy, review, secure, and operate software. Whether you need to modernize your infrastructure, adopt Claude Code, explore OpenClaw-based automation, build custom agents, review an AI-generated codebase, stabilize a vibe-coded application, or deploy, secure, and scale your prototype in the cloud, I can help you move from idea to production with a secure, stable, and scalable setup.

I am a Senior Fullstack Developer with over 15 years of hands-on experience in building and scaling Java , C# / Net , Angular applications for startups, enterprises, and SaaS platforms. Currently, I’m working as the Chief Technology Officer at InventorSoft, a software development agency specializing in web and mobile solutions. I bring a strategic mix of technical depth, team leadership, and product vision to every project. Why hire me🧐: 📌 Expert in Scalable Java and .Net Architectures - Over 15 years of experience in developing Java, .Net, C#, Angular scalable applications from different domains. - Backend systems built with Spring Boot (15+ years) – Delivered scalable microservices and high-performance business logic for enterprise-grade applications. - ORM & data access with Hibernate – Applied advanced ORM techniques for efficient database interactions, query optimization, and data integrity in distributed systems. - Frontend development with Angular & Thymeleaf Designed and delivered 200+ robust backend systems for SaaS products, e-commerce platforms, and enterprise clients. 📌 Cloud-Native Platform Engineering Specializes in building secure, scalable, cloud-native platforms using leading cloud providers: - 8+ years of production experience with AWS – Deployed scalable, secure, and high-availability applications. - 9+ years of hands-on Azure expertise – Delivered enterprise-grade solutions with Azure App Services, Azure DevOps, and SQL/Azure Storage. - 5+ years of experience on Google Cloud Platform (GCP) – Built and deployed containerized microservices using GKE, Cloud Run, and Firebase. 📌 API-First & Cloud-Native System Design - Strong background in API integration and microservice architecture. - Created high-performance APIs for platforms serving 50K+ users, ensuring seamless third-party integration and scalability. - Experienced in Docker & Kubernetes, enabling CI/CD pipelines and resilient containerized systems. 📌 Full-Stack Leadership & Agile Team Management - Led and mentored teams of 5–25 developers through all stages of the SDLC—requirements gathering to deployment and maintenance. - Specialized in building cross-functional teams for backend-heavy systems, modern UIs (React, Angular, Thymeleaf), and DevOps automation. My latest achievement as a Software Architect: 🤝 Partnered with 45+ SaaS companies to design and deliver secure, scalable platforms using Spring Boot, AWS, and modern cloud services. 🚀 Helped 10 tech startups scale from MVP to production—selecting the right tech stack, defining cloud-native architecture, and assembling strong dev teams. 💼 Enabled 5 client acquisitions through the development of enterprise-grade software that attracted major buyers and investors. 🏭 Led a digital transformation project for a multi-billion-dollar oil company, delivering a secure, API-first platform that automated mission-critical operations. 🧩 Technologies I Specialize In - Languages/Frameworks: Java, C#, .Net, Spring Boot, Hibernate, Thymeleaf, .Net Core - Cloud Platforms: AWS (8+ years), Azure (9+ years), Google Cloud (5+ years) - DevOps Tools: Docker (7+ years), Kubernetes (5+ years) - Integration & Architecture: RESTful API integration, microservices, clean architecture, CI/CD pipelines Clients that I am proud of: 💻 Shoeby – A fashion retail platform focused on modernizing the e-commerce experience with intuitive UI, product personalization, and seamless shopping journeys. 💻 CellRebel – Provides advanced mobile network analytics, helping telecom companies improve coverage and performance based on real user data. 💻 Blade – A technology-powered aviation company offering urban air mobility services, including helicopter and seaplane flights. 💻 Matics – A real-time operational intelligence system for manufacturers, offering production insights and process optimization across the factory. 💻 MedischeScholing – A medical e-learning platform that enables healthcare professionals to access, register for, and track accredited training and certifications. ➡️ Learn more about other projects on the InventorSoft portfolio Keywords: Java, Backend, Developer, Fullstack, Web, Cross-Platform, Mobile, Application, AI, OpenAI, Service, App, Development, Engineer, Integration, Build, Website, Expert, Spring boot, MySQL, Development Team, Integrated, SaaS Platform, remote, Full-stack, Senior, Software, Client Management, GraphQL, API, .NET, Asp.net, Programmer, Technical Lead, Dashboard, MVC, Developers, ASP.NET, AspNetZero, core, software, MAUI, C#, Angular, .Net, Core, Principal, Performance, Scalability, Microsoft, Blazor, SQL, Server, Frontend, React, Ruby on Rails, RoR/React, front-end, Tailwind, feature, TailwindCSS, Technical Staff, JavaScript, ROR

Ben Van Every Director | ALGO $4+ million on Upwork + 60,000+ hours + 500+ projects | Top-Rated Plus | Expert Vetted (Top 1%) Company ISO/IEC 27001 certified | SOC 2 Type II attested | GDPR audited Madrid, Spain Over $4 million earned on Upwork (over $1 million as freelancer + over $3 million as agency) I head up Algorithm Coding Experts SL ("ALGO") (See link below to ALGO's agency page). ALGO is an engineering partner for organisations building technically demanding systems with advanced technologies. Our specialist capabilities span AI & Machine Learning, blockchain, immersive technologies, IoT, robotics, Game Tech, and algorithmic & quantitative systems. What differentiates ALGO is that we go beyond the specialist technology itself. We combine deep technical expertise with the end-to-end engineering required to turn ideas, requirements and prototypes into complete systems that work reliably in the real world. Our engineering capabilities include software development, data, cloud and DevOps, cybersecurity, QA, UX, integration, monitoring and operations. We can support the complete journey from architecture and development through integration, testing, deployment and operation. Clients can engage ALGO to deliver a complete solution or to add specialist engineering capability alongside their internal teams and existing technology partners. ALGO combines the production discipline of a systems integrator with the specialisation, agility, flexibility, direct accountability and senior attention of an engineering partner. Specialist technology. End-to-end engineering. Systems built for the real world.

25+ years building enterprise software where Python AI meets Java scale. 100+ full-stack systems delivered, 10M+ users supported, and real-time platforms processing millions of events - from AI/ML and automation to Spring Boot, APIs, cloud & modern web apps. 👋 Looking for a powerhouse full-stack engineer who can bridge Python-based AI innovation with Java-backed enterprise performance? I bring 25+ years of professional full stack software development experience-combining backend architecture, enterprise Java systems, AI/ML engineering, and modern frontend frameworks into scalable, data-rich applications for finance, healthcare, retail, manufacturing, and government sectors. With over 100 full-stack systems delivered, I've built mission-critical platforms and real-time analytics engines handling millions of events per day, while reducing operational costs by up to 65% through infrastructure optimization. 🏆 Why Work With Me? ✔️ 25+ years of enterprise-grade software development ✔️ 40+ Python projects using AI/ML for analytics, automation, and computer vision ✔️ 60+ Java systems modernized to Spring Boot, AWS & microservices ✔️ Built backend systems serving 10M+ users monthly ✔️ AI-based fraud detection systems with 98%+ accuracy ✔️ Scaled apps to handle 1M+ real-time events/second using Kafka, EventBridge, and Spark ✔️ Healthcare-grade imaging tools for tumor classification (TensorFlow + OpenCV) ✔️ 50+ legacy migrations from J2EE/Struts to microservices ✔️ Deployed full-stack apps across 20+ industries, including fintech, eCommerce, telecom, and eLearning ✔️ CI/CD pipelines & Dockerized monorepos for faster dev cycles and better team velocity 🧠 Tech Stack & Core Skills 🖥️ Languages: Python, Java, TypeScript, JavaScript, HTML5, CSS3, SQL, Shell Scripting 🧠 Python AI/ML & Automation: TensorFlow, PyTorch, OpenCV, Scikit-learn, NumPy, Pandas, Matplotlib AI Workflows | Computer Vision | Predictive Analytics | Data Pipelines | Image Recognition | Fraud Detection Automation using Python + Selenium, BeautifulSoup, Scrapy ☕ Java Enterprise Stack: Spring Boot, Spring Cloud, Hibernate, Akka, Play, Grails Java Microservices | RESTful APIs | SOAP | JMS | JPA | Quartz | Lombok Legacy Refactoring | J2EE → Spring Boot | Tomcat | WildFly | WebLogic 📊 Frontend (Full-stack Scope): Angular.js, Vue.js, React.js, Next.js, Svelte Tailwind, Bootstrap, Material-UI | JSP | Thymeleaf | JSF | EJS SPA Development | SSR/ISR | Responsive UI | Webpack, Vite, Gulp 📦 DevOps & Cloud: Docker, Kubernetes, AWS (Lambda, SageMaker, EC2, S3, Kinesis, RDS), GCP, Azure CI/CD: Jenkins, GitLab CI, Travis, Ansible, Terraform Infrastructure as Code | Monitoring | Cost Optimization 📚 Data & Databases: PostgreSQL, MySQL, Oracle, MSSQL, SQLite, MongoDB, Cassandra, Dynamo DB Elasticsearch, Redis, Kafka, RabbitMQ, GraphQL, REST APIs 📌 Python & AI-Focused Solutions 🔹 AI-Based Automation for Workflow Optimization 🔹 Real-Time Object Recognition & Computer Vision Systems 🔹 Predictive Analytics for Retail, Logistics, and Healthcare 🔹 NLP Chatbots and Intelligent Assistants 🔹 Data Crawlers & Scrapers for eCommerce & SEO 🔹 Data Normalization Pipelines Handling 1TB+ Datasets 📌 Java & Enterprise Software Development 🔹 Full-stack Java + Angular/Vue platforms 🔹 Spring Boot Microservices for Finance, Healthcare, SaaS 🔹 Event-Driven Architectures with Kafka & Redis 🔹 Secure Auth (JWT, OAuth2, LDAP, SSO, 2FA) 🔹 Migrating Monoliths to Microservices (Cloud-Native Refactors) 🔹 Server-Side Java with JSP, JSF, and Servlet APIs 📌 Full-stack Projects Built from Scratch 🔹 Inventory Management System (Java + Vue + AWS) 🔹 Medical Diagnosis Dashboard (Python + Django + React) 🔹 Financial Fraud Detection Engine (PyTorch + Kafka) 🔹 Real Estate Listing Platform (Flask + Angular + PostgreSQL) 🔹 ERP Extensions for Manufacturing (Spring Boot + Thymeleaf) 💬 Results That Matter ✅ Built an AI-based inventory forecasting engine reducing stock outs by 42% ✅ Scaled a Java backend to handle 5M+ daily requests for a logistics app ✅ Migrated 3 legacy apps to AWS with 65% infra cost reduction ✅ Automated scraping workflows gathering 10M+ data points weekly ✅ Designed OCR pipeline (Python + Tesseract) for medical record digitization ✅ Delivered HIPAA-compliant image analysis tools with 95%+ detection accuracy ✅ Cut fraud risk 75% for fintech app using real-time anomaly detection 💼 Industries Served 🏥 Healthcare & Diagnostics 💳 Fintech & Insurance 🛍️ eCommerce & Dropshipping 🏗️ Manufacturing & Supply Chain 📚 EdTech & LMS Platforms 🛰️ Gov & Aerospace (including secure environments) 🏢 Enterprise SaaS & Internal Tools Let’s build the next enterprise success story together. 💬 Message me to discuss your backend, AI/ML, or full-stack project! 🧩 Let’s Build Something Powerful If you’re seeking a seasoned backend + full-stack expert who can turn complex business logic into reliable, scalable, and secure digital solutions - I’m your guy.

I am a certified professional with unique skillset and profound knowledge of DBA, Solution Architecture, SysOps and DevOps. With over 15 years of hands-on experience, I am designing, building, managing and optimizing various databases and environments for Startups, SMBs and Fortune 100 Enterprises from different industries. Reviews have it! ✅ DBA Expertise: 𝐃𝐁 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Oracle 9i, 10g, 11g, 12c - 19c on premise and in Cloud, MS SQL, PostgreSQL, MySQL, SQL Server, and more. 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐰𝐚𝐫𝐞: Automatic Storage Management (ASM), Real Application Clusters (RAC) 𝐎𝐫𝐚𝐜𝐥𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐞𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: Exadata, ZDLRA, Exalogic, ODA 𝐌𝐢𝐝𝐝𝐥𝐞𝐰𝐚𝐫𝐞 𝐚𝐧𝐝 𝐄𝐑𝐏 𝐚𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: NetSuite, Oracle E-Business Suite, Weblogic Server, Apache Tomcat, Glassfish, OBIEE, Discoverer, Fusion Middleware, OAM/IDM 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞-𝐜𝐥𝐚𝐬𝐬 𝐁𝐚𝐜𝐤𝐮𝐩, 𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐲 𝐚𝐧𝐝 𝐑𝐞𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: RMAN, Dataguard, Golden Gate 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: bash, SQL, PL/SQL, Python 𝐂𝐥𝐨𝐮𝐝 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Oracle Cloud, AWS, Azure 𝐒𝐲𝐬𝐭𝐞𝐦 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Unix and Linux, Windows (on premise or in Cloud) ✅ DevOps, SysOps Expertise: 𝐒𝐲𝐬𝐭𝐞𝐦 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Scalable, secure, and highly available designs tailored to business needs. 𝐒𝐲𝐬𝐎𝐩𝐬 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Managing virtual machines, containers, storage, backup, migration, networking, and databases. 𝐃𝐞𝐯𝐎𝐩𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: CI/CD, infrastructure as code (IaC), tools like Jenkins, GitLab CI/CD, Azure DevOps, etc. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Data encryption, access control, IAM, GDPR, HIPAA, PCI-DSS compliance. Choosing me as your IT Architect, DBA, SysOps, and DevOps Engineer means you gain a trusted partner who will go the extra mile to deliver exceptional results and help your organisation thrive. Let's discuss your requirements and get you the best solution. Contact me today!

⚙️ AWS, GCP & Azure Partner | Lead at UppLabs & OpsWorks Co (50+ Certified Engineers) 🏆 Trusted by Deloitte, Citibank, Disney & TimelyCare | $2M+ earned & 100% Job Success on Upwork ⚡️ We build self-healing cloud infrastructure & production AI systems that cut cloud costs by up to 92%. Open for invitations & discovery calls! 👇 📍Check us out by the numbers 👉 100+ AI, DevOps, Cloud and full-stack software projects delivered with a 100% Job Success Score (JSS). 👉 $2M+ combined earned on Upwork across 60,000+ logged hours and 200+ completed contracts. 👉 $100M+ in client revenue supported, serving global brands including Deloitte, Citibank, Disney, and TimelyCare. 👉 100+ official cloud and technical certifications across our 50+ engineer team (AWS, GCP, Azure). 👉 Up to 92% reduction in cloud infrastructure costs achieved for enterprise clients (Syndigo, ETX Capital, Vodafone) through AI-driven optimization. 📍 Core technical execution: AI-Augmented Cloud & DevOps: Designing self-healing AWS, Azure, and GCP architectures using Kubernetes and Terraform, featuring intelligent 24/7 monitoring, automated rollback triggers, and AI-driven incident response. Production-Ready AI Systems: Building custom autonomous AI agents, fine-tuned LLMs, RAG pipelines, and full-stack platforms for Fintech, Healthcare, and PropTech that process transactions, automate clinical workflows, and execute real business logic - not simple wrapper scripts. AI-Native Internal Workflows: Leveraging agentic code reviews, automated LLM test generation, and AI pair programming across our entire team to ship features 3x faster with zero technical debt. Enterprise Compliance & Security: Hardening infrastructure and application code to meet strict HIPAA, SOC2, PCI DSS, ISO 27001, GDPR, and OWASP security standards with zero compromise. 📍 Check out our deep technical stack matrix: To make sure about precise alignment with your project requirements, our core expertise covers the following environments: 👉 Cloud, DevOps & Infrastructure: AWS, Google Cloud Platform (GCP), Microsoft Azure, Kubernetes, Docker, Terraform, Ansible, Cloudflare, GitHub Actions, GitLab CI/CD, and self-healing systems. 👉 AI & Intelligent Automation: LangChain, LangGraph, OpenAI (GPT-4, GPT-4 Vision), Claude, Gemini, RAG pipelines, fine-tuned LLMs, Pinecone, TensorFlow, BERT, YOLOv8, TensorRT, and NVIDIA Jetson edge processing. 👉 Backend & Microservices: Python (FastAPI, Django), Node.js (NestJS, Express), C#, .NET Core, Go (Golang), PHP, and Java. 👉 Frontend & Mobile Engineering: React.js (App Router), Next.js, Angular, Vue.js, TypeScript, Tailwind CSS, React Native, Expo, Swift, and Kotlin. 👉 Data Streams & Databases: Apache Kafka, Apache Flink, RabbitMQ, PostgreSQL, TimescaleDB, ClickHouse, MySQL, SQL Server, MongoDB, and Redis. 👉 Compliance & Security: HIPAA, SOC2 Type II, PCI DSS, ISO 27001, GDPR, OWASP Top 10, Mirth Connect, HL7 FHIR, and tokenized PII handling. 👉 Performance & Optimization: Cloud cost optimization (cutting spend by 40% to 92%), Core Web Vitals remediation, and high-load traffic stabilization. We operate hands-on, move with high velocity, and take absolute product ownership over every line of code and server configuration we manage. If you are ready to build an intelligent product from scratch, optimize your cloud architecture, or scale your business - feel free to text me or invite to the job.

Web scraping is a headache. I can help you forget about it. ✅ Top Rated Plus ✅ 100% Job Success ✅ 92% Client Return Rate ✅ 500M+ Pages/Day ✅ 13+ Years I specialize in data scraping and web scraping - Python systems processing 500M+ pages daily for data extraction, web crawling, ETL pipelines, PDF parsing, lead generation, and AI data collection from government portals, e-commerce platforms, real estate databases, social media, and business directories. When off-the-shelf tools like Octoparse or ParseHub hit their limits — and they will — companies come to me. You need me if: 🔴 You have a large web scraping project that's breaking, slow, or falling behind 🔴 Your existing web scraper stopped working or needs to be maintained and updated 🔴 Your AI startup needs a large, clean dataset now 🔴 You want data your competitor has but you don't What I build: 🛒 E-commerce & price intelligence Amazon, eBay, marketplace scrapers with competitor price monitoring, daily stock updates, and product data pipelines 🏛️ Government & public records permit portals, court records, legislative data, SEDAR, AHPRA, corporate registries, multi-state public data collection 📄 PDF & document data extraction structured data from reports, invoices, and manuals; OCR of scanned files delivered to Excel or SQL; large-scale PDF pipelines 👤 Lead generation web scraping Google Maps, business directories, and contact databases scraped to lists in Excel or your CRM 🏠 Real estate data Zillow-style portal scraping, property listings and rental data with recurring scheduled updates 📱 Social media web scraping Instagram, LinkedIn, Facebook, Reddit, TikTok data extraction for market research, brand monitoring, and competitor analysis 🤖 AI data collection & pipelines — structured datasets for LLM training, RAG systems, AI agents, and ML workflows Sample projects: • 500M+ pages processed daily — e-commerce price monitoring web scraping across 250+ domains • Government & public records — 300+ portal scrapers across US, UK, Canada, and Australia • PDF data extraction — structured data from 10,000+ documents delivered to Excel and SQL • Real estate monitoring — Zillow-style portal scraping with daily updates across 40,000+ listings • Lead generation web scraping — 50,000+ verified business contacts from Google Maps and directories • AI training dataset — 50M+ structured records for LLM fine-tuning pipelines Technical stack: Python, Scrapy, Selenium, Playwright, BeautifulSoup, Requests — anti-bot bypass including Cloudflare (IUAM + Turnstile), Akamai Bot Manager, DataDome, PerimeterX, reCAPTCHA, hCaptcha, TLS/JA3 fingerprint alignment, authenticated scraping behind login, residential proxy rotation. Cloud deployment on AWS Lambda, EC2, DigitalOcean, or your preferred infrastructure. ETL pipelines delivering to PostgreSQL, MySQL, BigQuery, Excel, Google Sheets, CSV, or your API. I build, deploy, and maintain production web scraping systems — not just scripts. Source code and full documentation included. 🌍 Clients served: 🇺🇸 🇨🇦 🇬🇧 🇩🇪 🇫🇷 🇨🇭 🇳🇱 🇧🇪 🇸🇪 🇩🇰 🇳🇴 🇫🇮 🇦🇹 🇮🇪 🇦🇺 🇳🇿 and more 92% of clients come back. Let's solve your data challenge and find out if you will too. Keywords: Python, Scrapy, Selenium, Playwright, BeautifulSoup, Requests, lxml, httpx, Pandas, AWS Lambda, EC2, DigitalOcean, PostgreSQL, BigQuery, MongoDB, MySQL, Redis, Docker, Celery, RabbitMQ, Apache Airflow, PySpark — Amazon, eBay, LinkedIn, Google Maps, Zillow, Streeteasy, Instagram, Reddit, Facebook, TripAdvisor, Yelp, Airbnb, Booking, Craigslist, Indeed, Glassdoor, Walmart, Etsy, SEDAR, AHPRA, court portals, government databases, permit portals, legislative data, Companies House, BCAssessment, Illinois SOS, corporate registries — PDF, OCR, invoice extraction, ETL, data pipeline, Excel, Google Sheets, CSV, JSON, SQL, database scraping, structured data extraction, data pipeline orchestration, spiders, web spiders, Scrapy spiders — Cloudflare, Akamai, DataDome, PerimeterX, reCAPTCHA, hCaptcha, Incapsula, TLS fingerprinting, proxy rotation, anti-bot bypass, authenticated scraping, Apify, Scrapy Cloud, Zyte — n8n, Make, Zapier, OpenAI API, Claude API, LLM, AI agent, RAG, vector database, AI workflow, AI data collection, AI data acquisition, product scraper, price scraper, lead scraper, real estate scraper, directory scraper, review scraper, social media scraper, instagram scraping, facebook scraper, linkedin scraper, twitter scraping, PropTech, FinTech, SaaS data pipeline, bot, scraping bot, web bot, Python bot, EAN codes, RSS feeds, event scraping, scraper maintenance, improve scrapers, nightly automation, scheduled scraping, VM deployment 

Your cloud bill is not a fixed cost. It's an engineering problem - and I solve it. Most companies overpay AWS or GCP by 30-70%. The money is hiding in untagged resources, oversized nodes, idle NAT gateways, and architectures that were designed to work - not to scale economically. I find it, I fix it, and I deliver measurable ROI within the first 30 days. With $900K+ earned on Upwork, 100% Job Success Score, and 19+ years as a CTO and Cloud Architect, I bridge Engineering and Finance - translating infrastructure complexity into business impact your CFO can read. Typical Problems I Solve → AWS or GCP costs are too high and growing month over month → No visibility into what's driving cloud spend → Need a cloud infrastructure audit before scaling → AI workloads are expensive and unpredictable to run → Compliance requirements (SOC 2, GDPR, HIPAA) creating engineering debt → Architecture needs redesign for cost-efficiency before next funding round Proven Client Results ▪️ Shoebacca (Large US E-commerce) → Challenge: AWS costs exceeded budget by 40%, with no tagging, no FinOps governance, and no cost visibility. → Solution: EKS rightsizing, NAT/ALB/EBS audit, serverless Lambda migration, full FinOps governance with cost allocation tags. → Business Impact: $264,000 annual savings - AWS costs cut by 75% in one week. ▪️ US Influence Platform → Challenge: Monthly AWS bill uncontrolled, infrastructure unaudited, site latency degrading. → Solution: Infrastructure audit + Terraform migration + reserved instance strategy. → Business Impact: Monthly AWS bill reduced by 50%. Site latency improved as a bonus. ▪️ ChilliSauce (UK Event Agency) → Challenge: AWS ECS/Fargate costs growing with no optimization strategy. → Solution: Continuous FinOps management, ECS rightsizing, Fargate cost controls. → Business Impact: 30% cost reduction maintained continuously. ▪️ Datos Health (Israeli HealthTech) → Challenge: No monitoring or alerting on GCP infrastructure - production issues discovered by users. → Solution: Monitoring and alerting built from scratch with Prometheus and Grafana on GCP. → Business Impact: Zero production blind spots. Engineering team now detects issues before users do. Core Delivery Areas → Forensic Cloud Cost Audits - identify immediate 20%+ savings before writing a single line of IaC → FinOps in CI/CD - cost guardrails embedded directly in your deployment pipeline, not managed by your finance team → AI workload cost optimization - GPU orchestration, vector database cost management, LLM infrastructure efficiency → Spot/Reserved Instance Strategy & Orchestration → Serverless architectural redesign (Lambda, ECS/Fargate) for cost-efficient scaling → DevSecOps: SOC 2, GDPR, HIPAA compliance, Zero Trust architecture, IAM hardening Stack: AWS (EKS, Lambda, EC2, S3, RDS, CloudFront) · GCP · Terraform · Kubernetes · Docker · GitHub Actions · ArgoCD · Prometheus · Grafana · Datadog · Apache Kafka · PostgreSQL · AI workloads Available during US business hours (EST/PST overlap). Cloud cost optimization is the highest-ROI DevOps investment in 2026. Send an invite - I'll show you exactly where your cloud budget is leaking.