Mario User

Built a healthcare e-commerce platform using FastAPI and CQRS patterns, enabling efficient, scalable order processing with clear separation of concerns. Developed an AI chatbot using LangChain, OpenAI GPT, and Pinecone, enabling RAG pipelines and achieving 85%+ customer query resolution.

Architected a real-time multiplayer gaming backend in FastAPI, using WebSocket endpoints for low-latency player communication. Scaled backend infrastructure using AWS ECS Fargate, Lambda, and API Gateway, delivering fault-tolerant and cost-optimized services.

Migrated monolithic systems to Flask microservices, automating contract processing workflows for over 1,000 sales agents globally. Automated deployments with GitLab CI/CD and Ansible, streamlining release processes across development, staging, and production.

Developed scalable data processing services using Python with Flask and Celery, enhancing internal analytics pipelines across departments. Deployed cloud-native services on GCP App Engine and Cloud Functions, ensuring scalability, reliability, and low operational overhead.

Completed a Master's degree in Computer Science, focusing on advanced topics and research within the field. Gained in-depth knowledge and specialized skills relevant to modern computing challenges.

Obtained a Bachelor's degree in Computer Science, building a strong foundation in core computer science principles. Developed fundamental programming and problem-solving abilities.