To become unhireable-proof in Software Engineering and Cybersecurity, I am committing to a 15–20 month rigorous curriculum. Here is the blueprint.
🧱 Phase 0: Bootstrap
CS50x & MIT Missing Semester: Mastering C, Python, SQL, and terminal scripting to get dangerous fast.
🔨 Project - Football Stats Scraper: Building a custom Python data pipeline to scrape, clean, and structure live web data.
🧠 Phase 1: Computational Thinking
UC Berkeley CS 61A & MIT Math for CS: Rewiring my logical brain with recursion, higher-order functions, and discrete math proofs.
🔨 Project - 2D Space Invaders Game: Architecting a real-time game loop and factory patterns from scratch without relying on heavy frameworks.
⚙️ Phase 2: Hardware & The Machine
Nand to Tetris: The ultimate bottom-up approach to understanding how a computer actually thinks.
🔨 Project - Build a Computer: Constructing a working machine step-by-step, starting purely from basic NAND gates all the way up to a high-level programming language.
🖥️ Phase 3: Systems Programming
Rust Book, OS: Three Easy Pieces, & Computer Networking: Deep diving into memory ownership, virtualization, and TCP/IP sockets.
🔨 Project - Mini Operating System: Writing a bootloader, round-robin scheduler, and interrupt handler to understand exactly what happens under the hood when a program runs.
☁️ Phase 4: Data, Scale & Cloud
DDIA, Database Internals, & MIT 6.824: Where senior engineers live. Mastering replication, B-Trees, and distributed consensus algorithms like Raft.
🔨 Project - Database from Scratch: Implementing an append-only log, indexing, and query parsing to completely demystify how engines like PostgreSQL actually work.
🛡️ Phase 5: Security & Adversarial Thinking
Hacking: The Art of Exploitation & Web App Hacker's Handbook: Transitioning into a cybersecurity mindset by understanding buffer overflows, shellcode, and the OWASP Top 10.
🔨 Project - Custom Vulnerability Scanner: Building tools to scan web projects and crack password hashes to understand exploitation from an attacker's perspective.
🤖 Phase 6: AI/ML Literacy
Stanford CS229 & fast.ai: Learning the linear algebra, SVMs, and neural networks behind the tools reshaping our industry.
🔨 Project - ML Football Predictor: Creating a full machine learning pipeline to feature engineer my scraped data, train a predictive model, and deploy it as an API.
👾 Phase 7: Algorithms & The Final Boss
Sipser’s Theory of Computation & Crafting Interpreters: The mathematical soul of computer science and practical compiler design, alongside Neetcode 150 for interview prep.
🔨 Project - Custom Text Editor & Compiler: Mastering pure data structures with a gap buffer, then writing a Lexer, Parser, and AST for a custom language.
🏆 Ultimate Capstone - CHIP-8 Emulator: Integrating hardware, systems, and low-level programming into one massive CPU emulation project.
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