Alessandro Volpicella
AWS & Serverless Expert | Fullstack Software Engineer
Grünwalder Str. 145A, 81547 München, Germany | alessandro.volpicella@gmail.com

Web Presence
Professional Summary
Software Engineer with 7+ years experience building scalable, high-performant solutions on AWS. Worked across different domains and industries.
- 7+ years hands-on experience with AWS across different domains - from small startups to large enterprises
- Authored two books in the AWS space: AWS Fundamentals, and CloudWatch Book
- Built serverless systems that handle 100 million API requests and 1 million events per month
- Ability to work across the whole stack, from frontend to backend to infrastructure
- Using AI coding assistants daily, especially spec-driven development with Claude Code to ship faster with higher quality
Technical Skills
Here is a non-exhaustive list of my technical skills. I feel confident in learning new technologies, frameworks, and tools.
AWS
- Serverless Architecture
- Event-Driven Architecture
- Infrastructure as Code
- Observability
- SQS, SNS, S3, Lambda
- Account Management
- AWS CodePipeline
- Cost Optimization
- IAM, KMS, Secrets Manager
Fullstack Development
- TypeScript/JavaScript
- Python
- React.js
- Next.js
- Remix / React-Router
- GraphQL, REST APIs, Trpc
- Docker
- PostgreSQL, MySQL, SQLite
- MongoDB
- Redis
DevOps / IaC
- CDK
- SST
- CloudFormation
- Terraform
- GitHub Actions
- CI/CD Pipelines
AI / GenAI
- Claude Code
- Spec-Driven Development
- NLP / Text Classification
- TensorFlow, PyTorch
Client / Freelance Projects
Platform Engineer / Fullstack Engineer
2025 - 2026
- AWS Landing Zone setup with Control Tower and Identity Center
- Centralized observability with CloudWatch across the whole organization
- General IT security and temporary administrative access implementation
- Fullstack development of a React web application with REST API backend, involving text extraction and hosting of agents using Bedrock AgentCore
Tech Stack: AWS (Identity Center, Organizations, Control Tower), CDK, TypeScript, Hono API, Postgres, Langchain
Fullstack Developer - Backend & Architecture
2025 - 2026
Building a fullstack documentation and tracking solution to handle customer interaction and keep customers up to date.
Tech Stack: AWS (Lambda, API Gateway, Transit Gateway, VPC, RDS), CDK, TypeScript, Hono API, REST API, Docker
Fullstack Developer & Cloud Architect
2025
- Built an image processing pipeline for long-running tasks hosted on Step Functions and ECS
- Implemented a CLI so users can invoke long-running asynchronous tasks and stream their CloudWatch logs directly into the CLI
- Overall architecture of infrastructure as code and APIs
Tech Stack: SST, AWS (Lambda, Step Functions, ECS, CloudWatch), Serverless, Docker
Fullstack Developer / Consultant
2025 - 2026
Consulting & Development of building a controlling web-application for automated reports based on ERP data.
- Consultation on the UI design, process of importing the data, and the overall architecture
- Development of the incoming ERP data import using S3 and Lambda
- Development of the web application using Remix, PostgreSQL, and TypeScript
Tech Stack: AWS (S3, Lambda, VPC), SST, PostgreSQL, TanStack, React, TypeScript
Fullstack Developer / Consultant
2025 - 2026
Greenfield project to build a custom project management software for the internal manufacturing process.
- Fullstack development of the overall web application using Remix, AWS (SST), Postgres, Cognito
- Business process consultation to design the process of manufacturing
- Implemented automated data integration with external ERP systems using S3 and Lambda
- Developed SSO authentication system using AWS Cognito and Microsoft Entra ID
- Overall web development of the application using Remix, PostgreSQL, and TypeScript
Tech Stack: AWS (Lambda, SQS, Cognito, S3), SST, Remix, PostgreSQL, TypeScript, Microsoft Entra ID
AWS Consultant
2025
- Cost optimization of Lambda functions and cloud infrastructure
- Improved a high-scaling event processing system by incorporating SQS, Lambda, and a multi-tenant architecture
- Integrated a CDK Sandbox to enable deployments for every developer
- Custom Shopify App development to integrate customers fulfillment processes from Shopify into its own solution
Tech Stack: AWS (Lambda, SQS, CDK), TypeScript, Node.js
Platform Engineer & Fullstack Developer
2022 - 2025
At Hashnode I led the platform engineering team which was responsible for the overall AWS Platform, external public API, and all 3rd party integrations like MongoDB Atlas, Vercel, Imgix, Upstash, and more.
- Initiated the whole AWS Infrastructure as Code Setup using CDK
- Architected event-driven system processing 1,000,000 events monthly
- Built a public GraphQL API handling 100M+ requests/month using Lambda, Apollo, API Gateway + Edge Caching on Stellate
- Integrated CloudWatch & X-Ray to gain observability across the whole stack
- Designed & integrated a B2C subscription system with Stripe
- Internal coaching, workshops, and knowledge sharing sessions on AWS best practices
Tech Stack: AWS (Lambda, CloudWatch, X-Ray, DynamoDB, S3, SES, SQS), MongoDB, GraphQL, TypeScript, Node.js, Stripe API
Fullstack Developer (AWS, Lambda, DynamoDB, React.js)
2021
ADS Allgemeine Deutsche Steuerberatung mbH
Development of a web application for consulting clients with their financial situation
- Greenfield project to architect & build a custom customer relationship system for financial planning clients.
- Development of a serverless backend using AWS Lambda, DynamoDB, Cognito, and API Gateway
- Implementing infrastructure as code with AWS Amplify CLI & custom CloudFormation resources
- Built user management system with AWS Cognito
- Implementation of the web application using React.js including PDF Generator, Multi-Step Wizard Forms, and more
- Set up multi-stage environment (Develop, Release, Master) with full CI/CD
Tech Stack: AWS (Lambda, DynamoDB, Cognito, API Gateway, Amplify, CloudFormation), React.js
AI-Augmented Development
I use AI as a core part of my development workflow — not as a shortcut, but as a multiplier. The key is giving the AI maximum context and continuous feedback.
- Claude Code + Spec-Driven Development: I write detailed specs before implementation, giving Claude Code full context on requirements, constraints, and architecture.
- Frontend: Playwright CLI for rapid UI development — visual feedback loop where the AI sees what it builds
- Backend & Platform: Custom Claude Code skills for CDK, CloudFormation, and CloudWatch — domain-specific knowledge baked into the workflow
- Feedback-first approach: Continuously correcting and guiding AI output to improve results over time
Work Experience
Cloud Architect / Cloud Engineer
2021 - 2022
In this role, I was responsible for the AWS Architecture of several projects, mostly in the automotive sector. I also organized the internal AWS Community and organized hackathons.
- Cloud migration projects from on-premise to AWS
- Building observability solutions using CloudWatch, Grafana, Prometheus
- Led internal AWS community and organized hackathons
Tech Stack: AWS, Terraform, CDK, Amplify, TypeScript, Python
Data Scientist & Software Engineer
2019 - 2020
At Check24 I started as a working student to research & develop Natural Language Processing (NLP) algorithms to classify bank transactions for their internatl SaaS tool "Kontomanager". The product was used to understand your finances better and categorize transactions into categories.
- Implementing a machine learning model based on state-of-the-art techniques for classifying bank transactions
- Implementing a REST Endpoint for inferencing the trained machine learning model using Python Django
- Master Thesis: "Using Weak-Supervision for Classifying Company Purposes" - overcoming the challenge of a lack of labeled data
Tech Stack: Python, Tensorflow, PyTorch, scikit-learn, Django, Docker, MLFlow
Fullstack Developer - Focus Data Science
2018 - 2019
Working student position with two main project focuses during my time there.
Bachelor Thesis Project - ReachNow! Demand Prediction
Research & Development of a machine learning model for predicting passenger demand of the ride-hailing service ReachNow! This machine learning model was used to predict where most cars will be needed depending on several factors. The results were presented in a web application that teams used on a daily basis.
- Research to find the fitting machine learning models for spatial-temporal data (time & location) for predicting passenger demand
- Development of a continuous machine learning pipeline using AWS SageMaker, S3, Lambda, and API Gateway
- Web application development using React.js, JavaScript, Redux, and Leaflet to visualize the predictions
Bachelor Thesis: "A Machine-Learning Approach to predict Passenger Demand in On-Demand-Mobility Service"
Big Data Project - Internal Data Lake
After completing the bachelor thesis, I supported the team in building the internal Data Lake for all vehicle sensor data.
- Integration of vehicle sensor data into the internal AWS Data Lake using Kinesis data streams, Lambda functions, and Glue
- Processing data with Lambda functions to store in structured format in DynamoDB
Tech Stack: Python, Java, AWS (DynamoDB, Athena, Lambda, SageMaker, Kinesis, Glue), React.js, Docker
Publications
I've authored two books, run a YouTube channel, one video course, and more than 40 blog articles about AWS. Here is a non-exhaustive list of my work.
Author | 500+ copies sold
2024
The CloudWatch Book teaches the full CloudWatch suite. We show you how to use CloudWatch to observe your overall AWS Application. From Logs, Metric, up to traces, anomaly detection, and more.
- In-depth coverage of CloudWatch features and best practices
- Accompanying video course (6+ hrs) with practical demonstrations
- GitHub repository with code examples and templates
- Real-world monitoring and alerting strategies
Author | 2,000+ copies sold
2023
AWS Fundamentals teaches AWS for the real-world. We explain the top 16 services in all major categories and how to use them to actually build things. The focus is on mastering these services and reusing them in a real-world setup.
- 350+ pages covering core AWS services and their configurations
- Infrastructure as Code introduction (Terraform, CloudFormation, Serverless, CDK)
- Visual learning approach with custom infographics for all core services
- Practical examples and real-world best practices
AWS Fundamentals YouTube Channel
Content Creator
2025 - Present
YouTube channel covering AWS topics from fundamentals to advanced patterns. Videos on serverless architectures, EventBridge, CloudWatch, and real-world AWS setups.
Speaking
I regularly speak at conferences and on podcasts about AWS, serverless, and event-driven architectures. Selected talks include EDA Community Day CZ (Prague), AWS Community DACH, AWS Community Day Romania, GraphQL Radio Podcast, and more.
Personal Projects
Shopify app which lets merchants combine and merge orders to save on shipping costs. 100+ shops actively using it.
Tech Stack: AWS, SST, Postgres, TypeScript, React, Remix, Shopify
Shopify app to help merchants fight fraud and chargebacks. You can create custom rules to detect fraud and block orders automatically. 500k+ monthly orders processed.
Tech Stack: AWS, SST, TypeScript, React, Remix, Supabase, Shopify App
With AWS Fundamentals we run a blog, bi-weekly newsletter, and published two books. 12k+ newsletter subscribers and 33k+ followers across socials.
Tech Stack: AWS, SST, TypeScript, React, Next.js, GitHub Actions, Cognito & Federated Sign-In, Kit
Analytics solution for GitHub actions. Understand which actions and repositories are most expensive. Exited because lack of time to maintain it + huge platform risk.
Tech Stack: AWS, SST, TypeScript, React, Next.js, TailwindCSS, DynamoDB, GitHub API
See all my projects at sandrovolpicella.com/projects
Education & Certifications
sandrovolpicella.com/cv
