A self-directed learning journey in software engineering — 2000+ files spanning multiple languages, backend frameworks, and infrastructure technologies.

3 years self-taught developer focused on backend systems, container infrastructure, and distributed computing. Emphasis on understanding underlying mechanisms, not just surface-level usage.

2 merged open-source PRs (FastAPI ecosystem, Matplotlib documentation)

• Foundations — Python, HTML/CSS, core programming concepts
• Web & JS Ecosystem — Node.js, React, event loop internals, browser rendering
• DSA — 100+ algorithmic problems across multiple languages
• Infrastructure — Docker, Proxmox, Linux sysadmin, containerization
• CS Theory — Architecture (transistors → ISA), compilation models, OS fundamentals
• Enterprise Backend (current) — Spring Boot, dependency injection, scalable API design
• ML Foundations — Statistical learning, transformer architectures, data manipulation

Containerized Microservices — Multi-container apps with Docker Compose; networking, volumes, service isolation

Spring Boot APIs — Production-grade REST services with JPA, MySQL, and auth

Proxmox Home Lab — Self-hosted VM environment for infrastructure experimentation

Web Applications — Full-stack projects with React, Node.js, and third-party APIs

Coding-Project/
├── Programming Languages/   # Python, JS, Java, C++, Go, Rust
├── Projects/                # Web apps, containerized deployments, backend APIs
├── System Design/           # Architecture patterns, scalability concepts
├── Workspace and Environment/
└── Programming W3Schools/   # Structured learning exercises

• Short-term — Master Spring Boot, ship production full-stack apps, grow OSS contributions
• Medium-term — Backend/DevOps internship, deepen Kubernetes and Rust knowledge
• Long-term — Specialize in distributed systems and infrastructure, build developer tooling

GitHub: @SaisakthiM · LinkedIn: saisakthi-m

Open to backend engineering internships and open-source collaborations.