Hire the Best Moodle Specialists
in Romania

I build cloud infrastructure that you can leave alone. Predictable, reproducible, auditable. Not held together with manual ClickOps and dread. Most teams I work with come to me when one of three things is happening. The AWS bill keeps climbing every month and nobody can explain why. I cut waste on real client workloads by moving idle EC2 to scheduled start and stop, replacing NAT Gateways with VPC endpoints (saves around $35 per month per environment, before traffic), right sizing instances, and surfacing waste with proper tagging and Cost Explorer dashboards. Production was set up in the console two years ago and now nobody dares touch it. I migrate ClickOps environments into Terraform without breaking running services. Module based, workspace driven, with state in S3 and DynamoDB locking. The handover is a repo your team can read, not a black box only I understand. The infrastructure works but it is exposed in places it should not be. I have moved public ALBs to private origins behind CloudFront and WAF, replaced shared IAM users with role based access, locked down security groups, and put secrets in Secrets Manager instead of environment files. Boring, careful work. The kind that prevents the 3 AM call. What I work with daily: - AWS — ECS Fargate, RDS, Aurora, S3, CloudFront, Route 53, Cognito, Secrets Manager, SQS, Lambda, EC2, VPC, IAM, WAF, CloudWatch - Terraform — custom modules, workspace structure, multi account setups, S3 and DynamoDB state - CI/CD — GitHub Actions, GitLab CI, automated database migrations, container scanning - Python — FastAPI services, Celery workers, automation scripts, infrastructure tooling - Security — Cognito with JWT auth, VPC design without NAT, IAM least privilege, audit logging - Containers — Docker, ECS Fargate (Spot and on demand), private ECR Recent work: - Built a battery storage SaaS platform on AWS. FastAPI plus Celery, dual queue ECS Fargate workers (Spot for short jobs, on demand for long ones), Cognito auth, full Terraform from scratch. - Architected a private ML training platform on OVH. GPU workers, Celery, Tailscale private networking, S3 compatible object storage. - Self hosted infrastructure deployment on a Swiss vServer. Docker stack with Keycloak SSO, Traefik with Let's Encrypt, GitLab CI/CD. - Migrated multiple client workloads from public ALBs to private origins behind CloudFront and WAF. - Built scheduled EC2 start and stop automation for a workflow stack to cut idle compute cost. How I work: - Everything goes in Terraform. If it is not in code, it does not exist. - I write things down. Runbooks, decision logs, architecture diagrams. The next person on the project should not need to call me. - I would rather flag a risk early than discover it during a deploy. - If I think the scope is wrong or the approach will not hold up, I will say so. You are paying for judgment, not just hands. Background includes 9 AWS certifications across architect, security, networking, and devops tracks, plus internships at Deutsche Bank and ING Hubs on the Java backend side, and ongoing freelance work across AWS infrastructure, security migrations, and platform engineering. If you are trying to clean up production, get out of ClickOps, cut your AWS bill, or build a new platform from scratch, happy to talk. If your project is more "throw a script together fast and do not worry about it later," I am probably not the right fit.

Building AI is easy. Shipping a reliable AI product is the real challenge🏗️🏗️🏗️ I'm Roman, a Python Full stack Developer and Python AI developer with 5+ years in scalable web development and 2+ years in AI/ML. I have built AI systems for skincare, corporate LMS, real estate and SaaS, including a multilingual assistant for a company with 100+ branches and an AI SaaS chatbot platform built over 11 months. What I can help with: ✓ 50+ AI chatbot use cases with RAG, memory and business logic ✓ 20+ OpenAI / Claude / LLaMA integrations for SaaS, CRM, support, internal tools ✓ 100+ document sources for AI agents trained on company documentation, knowledge bases, enterprise data ✓ 10k+ request/day python fastapi API development for scalable AI backends ✓ 15+ React / Next.js dashboards connected to Python AI systems ✓ 30+ backend tasks across Database architecture, API integration, cloud deployment, performance optimization ✓ 1M+ data points for Custom machine learning workflows, benchmarking, Data Scraping, data pipelines, analytics ⚡My work combines python full stack engineering, python fastapi backends, LLM architecture and business-focused Software Development that reduces manual work and improves user experience. As a python full stack developer, I build full-cycle products from database design and API architecture to React / Next.js interfaces, deployment and long-term optimization. My core stack includes python full stack, Python Fastapi, Flask, Django, Node.js, React, JavaScript, TypeScript, PostgreSQL, SQL, MongoDB, Supabase, AWS, Azure, Vercel, REST APIs, WebSockets, Docker, Tailwind CSS, Material UI, and Git. As a Python AI Developer, I create AI chatbots, RAG systems, AI agents, document intelligence tools, recommendation engines, and automation workflows. I work with OpenAI, Claude, LLaMA, LangChain, LangGraph, LlamaIndex, vector databases, prompt engineering, ReAct agents, and llm integration for real business use cases. 🤖 AI/ML Solutions I Build 📌 LLM-Powered Applications → Custom AI chatbots with RAG (Retrieval-Augmented Generation) → Multi-agent systems using LangChain & LangGraph → Context-aware conversational AI that maintains conversation flow → Integration with GPT-4, Claude, LLaMA models 📌 Intelligent Automation & Agents → ReAct systems (Reasoning + Acting) for complex workflows → Document parsing and knowledge extraction (LlamaIndex) → AI agents trained on internal documentation and enterprise data → Multi-language support with automatic language detection 📌 Smart Recommendations & Analysis → AI-powered recommendation engines → Image analysis and classification systems → Custom ML models for specific business use cases → Performance optimization for production environments 📌 Full-Stack Integration → RESTful API development and integration → Real-time data handling with WebSockets → Database design (PostgreSQL, MongoDB, Supabase) → Cloud deployment (AWS, Azure, Vercel) 💡 Recent AI Projects & Real Results Recent work includes an AI skincare recommendation system that analyzes customer inputs and recommends products, a corporate LMS AI assistant for 100+ branches, a real estate rental assistant using landmarks and neighborhoods, and a full-stack SaaS AI chatbot platform with multi-agent logic and RAG capabilities. 🛠️ Technical Stack My experience covers product engineering and AI development. On the engineering side, I build SaaS platforms, dashboards, APIs, admin panels and automation systems as a python full stack developer ( backend python developer ) backend developer and web developer. On the AI side, I work as a Python AI developer and AI Developer, supporting chatbots, RAG systems, llm integration, OpenAI workflows, benchmarking, machine learning and data science tasks for real business use cases. ⚡My approach is simple: clarify the business problem, design cost-conscious architecture, build clean maintainable code, show progress through demos, and transfer knowledge so your team can use and maintain the system confidently. Additional relevant experience: I have worked around startup products and teams involving laravel, PHP, wordpress, sharepoint, moodle lti, flutter, Vue.js, material ui, HTML5, html front end, payment gateway, back end development, full stack developer react, full stack java, marketing saas, mls, mls idx, real estate photo, ai video, crypto bot, trading python, dask, pandas, data entry, oxwall, qa analyst, ux designer, product manager, it consultant, seo specialist, journalist content workflows, technical resume writing, python full stack, python fastapi, python ai, llm integration, openai, and custom business automation. 🤝If you need a reliable python full stack developer who can own the full product workflow, or a python ai developer who can build practical AI systems with python fastapi, python ai, llm integration, openai, and scalable architecture, send me a message and let’s discuss your project.

I'm a full stack developer with over 10 years of experience. I'm experienced in web development using technologies like PHP, MySQL, JavaScript, jQuery, AJAX, HTML5, Boostrap4, CSS3, SCSS, Moodle LMS, React.js, Node.js, Mongo DB, GIT. I look forward to work with you!

I am a Moodle developer. Currently working with several Moodle clients to help their e-learning platform be suitable for their user needs Moodle Customization Moodle Course Design Moodle Upgrades Moodle Webservices Moodle Theme Development & Integration Moodle Plugin Development Custom reports development Quiz theme development and modifications Moodle API integration (Whiteboard, Bigbluebutton, virtual classroom etc) Moodle Single Sign on Using Wordpress, Joomla and Drupal Moodle payment gateway integration (Paypal pro, Authorize.net, Payfast etc)