I’m a computer science student focused on cloud infrastructure, distributed systems, and machine learning systems — with a strong interest in how real-world production systems are designed, operated, and evolved over time.
I care less about memorising tools and more about understanding systems deeply.
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Cloud & Infrastructure
- AWS fundamentals, load balancing, networking, storage
- Infrastructure design trade-offs: performance, availability, cost
- Exploring cloud-native and container-based architectures
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DevOps Foundations
- Linux internals and system behavior
- Docker and containerisation workflows
- Automation, observability, and production thinking
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Machine Learning Systems
- ML beyond notebooks: pipelines, deployment, scalability
- Understanding how ML models behave in real systems
- Interest in MLOps and ML-infra patterns
- Languages: Python, Bash
- Platforms: AWS, Linux
- Containers: Docker
- Databases: SQL, NoSQL fundamentals
- Other: Git, networking basics, system design concepts
(I prefer depth over tool-count inflation.)
I write long-form technical articles where I break down complex concepts like:
- Cloud load balancing (ALB vs NLB)
- SSL/TLS termination models
- Databases, storage, and networking fundamentals
- Security and system design trade-offs
- AI & ML systems from a systems perspective
📖 Read my work:
👉 https://cloudodyssey.substack.com/
My writing focuses on mental models, first principles, and real-world constraints — not copy-paste tutorials.
- Contributor to MediaWiki
- Member of WikiClub Tech UU
- Use open source as a learning ground for:
- reading real production code
- understanding review culture
- seeing how large systems evolve safely
- GitHub: https://github.com/saluja-ji
- LinkedIn: https://www.linkedin.com/in/pushpit-saluja/
- Substack: https://cloudodyssey.substack.com/
If you enjoy conversations about systems, infrastructure, or how things actually work under the hood — I’m always open to a discussion.
“Understanding systems deeply matters more than memorising tools.”