- 👂 My name is Pantelis Tsagkas
- 🏳️ Pronouns: he/him
- 🔭 I'm currently working on AWS cloud projects and Terraform
- 🌱 I'm currently learning Terraform in depth, Kubernetes, and Distributed Systems
- 🤝 I'm looking to collaborate on ETL pipelines, data engineering, and IaC
- 💬 Ask me about Starship & Super Heavy Booster
- 📫 How to reach me: LinkedIn · Portfolio
- ❤️ I love shipping real projects and documenting what I learn (like my Cloud Quest walkthrough)
- ⚡ Fun fact: In Git we trust. Everyone else must push.
I'm a Data & Platform Engineer with a strong interest in distributed systems, cloud infrastructure, observability, and AI engineering. I enjoy understanding how complex systems work beneath the surface, from Kubernetes control planes and consensus algorithms to machine learning pipelines and production infrastructure.
Most of what I build starts with infrastructure as code. I enjoy creating reproducible systems, instrumenting them with proper observability, and documenting everything I learn along the way.
Currently I'm focused on:
- Building cloud infrastructure with AWS and Terraform
- Exploring Kubernetes internals, distributed systems, and platform engineering
- Developing AI-powered applications using modern LLMs
- Sharing detailed technical write-ups and hands-on projects
I prefer building real systems over tutorial projects. The pinned repos are systems I've designed, deployed, broken, fixed, and documented.
- golden-fork-pipeline — Serverless CSV → DynamoDB ingestion with validation, quarantine alerts, full Terraform IaC
- image-resizer-terraform — Presigned uploads, S3-triggered Lambda, three resized variants — zero console clicks
- observability-simulator — Local observability sandbox: trigger simulated failures, latency, and CPU load, then watch the full telemetry pipeline react in real time
- AskBetter — Live prompt enhancement product. Site
- modal-taxi-pipeline — End-to-end MLOps on Modal: XGBoost, W&B experiment tracking, champion/challenger model gate, scale-to-zero inference
- termref — AI-powered terminal cheat sheet generator
Exam-based credentials (paid certification exams).
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AWS Certified AI Practitioner — June 2025 Foundational AI, ML, and AWS AI services. |
Hands-on Cloud Quest roles, learning paths, and completed courses.
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AWS Cloud Quest: Cloud Practitioner — June 2026 Fundamental AWS Cloud concepts with hands-on experience across compute, networking, database, and security services. |
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AWS Cloud Quest: Solutions Architect — June 2026 Solution building with a broad set of AWS services — secure, fault-tolerant, and highly available architectures. |
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AWS Cloud Quest: Machine Learning — June 2026 Hands-on solution building with AWS ML/AI services, including SageMaker model build, test, and deploy. |
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AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents · Ed Donner View certificate |
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CS50x — Introduction to Computer Science · Harvard University View certificate |
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Artificial Intelligence Fundamentals · IBM SkillsBuild AI concepts, ethics, Watson Studio, and applications across NLP, CV, and ML. |
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AI Fluency: Framework & Foundations · Anthropic Academy — April 2026 Verify certificate |
Turning rough ideas into reproducible cloud stacks — and models that actually deploy.