About Me
Welcome to StackedStats! I’m Sandro, a software engineer with a passion for building reliable, scalable systems and sharing knowledge with the tech community.
What I Do
I specialize in backend development, data engineering, and infrastructure automation. My work involves designing and implementing systems that process large amounts of data efficiently and reliably.
When I’m not writing code for work, you’ll find me:
- Tinkering with my home lab - Running self-hosted services, experimenting with NixOS, and automating everything possible
- Learning new technologies - Currently exploring Rust and distributed systems
- Writing about what I learn - Hence this blog!
About This Blog
StackedStats is where I document my technical journey. I write about:
- Programming tutorials - Deep dives into Python, Go, and other languages
- Data engineering - Building data pipelines, working with databases, and data analysis
- Home lab adventures - Self-hosting, infrastructure, and automation
- Best practices - Software architecture, testing, and development workflows
My goal is to write the articles I wish I had found when learning these topics myself. I believe in practical, hands-on explanations with real-world examples.
Get in Touch
I’m always happy to connect with fellow developers and tech enthusiasts. Feel free to reach out through any of the social links, or drop me an email if you have questions or just want to chat about tech!
Experience
Consultant
Machine Learing Reply
3 years 1 month
- • Led the development of a scalable automated data pipeline for the customer's Azure-based data warehouse.
- • Designed and implemented modern Azure infrastructure to support analytics workloads.
- • Developed reusable Python tools to process and manage data across Azure Storage solutions.
- • Collaborated closely with the customer to deliver technical solutions tailored to their needs.
Associate Consultant
b.telligent
1 year 2 months
- • Optimized customer engagement by implementing successful data-driven predictive models.
- • Designed an internal machine learning framework to accelerate deployment and monitoring processes.
- • Handled over 150 analytical data applications for client projects.
- • Advised customers on technical and business decisions related to advanced analytics.
Research Assistant
Freie Universität Berlin
3 years 3 months
- • Generated data models, performed statistical analysis, and helped produce reports outlining results.
- • Performed feature selection and dimension reduction on high-dimension data sets.
- • Gathered, arranged, and corrected research data to create representative graphs and charts highlighting results for presentations.
- • Developed preprocessing pipelines and tuned hyperparameters for better model performance.
Featured Projects
Software Developer
5 months
Developed and maintained a proprietary Python framework designed internally to streamline and standardize machine learning model deployments across environments for business-critical applications at enterprise scale.
Technical Lead
9 months
Led the technical development of a cloud-native platform enabling AI developers to seamlessly deploy and orchestrate intelligent agents focused on enhancing developer workflows, including automated code review, technical debt identification, and development process optimization.
Cloud Developer
2 years 1 month
Led the development of an automated data pipeline to support customer's Azure Data Warehousing needs, reducing manual ETL efforts by 80%.
Education
Master of Science in Physics
Freie Universität Berlin
Focused on advanced topics in physics, developing a strong foundation in theoretical and experimental techniques.
Bachelor of Science in Physics
Freie Universität Berlin
Gained comprehensive knowledge of fundamental physics, with an emphasis on problem-solving and analytical skills.