Below is a zero‑to‑mastery game‑plan that compresses years of computer‑science curricula and real‑world engineering practice into an accelerated—but still realistic—timeline. Think of each “stage” as a *checkpoint*; you can move faster or slower, but don’t skip the core deliverables.
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Stage 0 – Orientation (Week 0)
| Deliverable | Why it matters |
|-------------|----------------|
| Pick a primary language (Python or Java) and set up local dev tools (VS Code, Git, debugger) | You need one deep language to think in; tooling muscle memory saves weeks later |
| Create a “Learning in Public” repo on GitHub | Daily pushes build credibility from day 1 |
| Draft a weekly calendar (2–4 h weekdays, 6 h weekend) | Consistency beats intensity |
Total time: 1 day.
Exit test: You can `git clone`, run a “Hello World,” and push a commit.
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Stage 1 – Foundations (Weeks 1‑8)
Core goals
1. Programming fundamentals – variables, loops, functions, OOP, debugging.
2. Data Structures & Algorithms #1 – arrays, strings, linked lists, stacks, queues.
3. One mini‑project – CLI todo app or basic blog API.
| Week | Daily focus (≈ 2 h) | Weekend focus (4–6 h) |
|------|--------------------|-----------------------|
| 1‑2 | CS50 / FreeCodeCamp Python or Java basics | Build Todo CLI v0.1 |
| 3‑4 | DS&A: arrays, strings on LeetCode Easy | Refactor Todo CLI, add tests |
| 5‑6 | DS&A: linked list patterns | Build RESTful Notes API (Flask/Spring) |
| 7‑8 | Git branches, PR workflow | Publish project + write a README case study |
Exit tests:
• 50 LeetCode easy problems solved & explained in your repo.
• One project deployed (Railway, Render, or EC2).
• Explain big‑O for your project’s key operations out loud without notes.
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Stage 2 – Builder Mode (Months 3‑6)
What you’ll master
Full‑stack web: front‑end (React/Next.js) + back‑end (Node or Java Spring).
Algorithms #2: trees, graphs, recursion, DP (target 200 LC problems).
Version control & teamwork: open a pull‑request on a real OSS repo.
| Month | Deliverables |
|-------|--------------|
| 3 | Clone a popular open‑source project tutorial (e.g., *Airbnb clone*). |
| 4 | Original SaaS MVP: ‟Habit‑Tracker” (auth, CRUD, charts). Host on Vercel + PlanetScale. |
| 5 | Contribute 2 OSS PRs and write a technical blog post about the experience. |
| 6 | Resume v1.0 (quantified bullets) + 1 mock interview each week. |
Exit tests:
• Full‑stack project with CI/CD, tests, README gif demo.
• 200 LC mediums solved + pattern notes.
• At least one merged pull request in any public repo.
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Stage 3 – Interview‑Ready (Months 7‑9)
What changes now
System Design basics (scalability, caching, sharding).
Behavioral stories (STAR format).
Targeted applications to startups, internships, contract gigs.
1. DS&A grind: finish *LeetCode Top 150*.
2. System‑design sprints: design URL shortener, chat service, rate limiter (write 1‑page designs).
3. Mock interviews: 2 DS&A, 1 system design, 1 behavioral per week (Pramp, Exponent, peers).
4. Apply in waves of 20 every Monday; track results; iterate résumé keywords.
Exit tests:
• 300+ LC questions total, 3 solid system‑design one‑pagers.
• You pass two consecutive mock interviews with strangers.
• First paid dev offer (startup) or internship letter in hand.
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Stage 4 – FAANG‑Track (Months 10‑15)
Deep‑dive skill stack
| Pillar | Resources / Milestones |
|--------|------------------------|
| Advanced algorithms | Competitive‑programming style: segment trees, tries, Dijkstra; 400 LC. |
| High‑scale design | Read *Designing Data‑Intensive Applications*; build a log‑aggregation microservice with Kafka + ClickHouse. |
| Specialisation | Pick one: Frontend performance (React 18 + Web Workers) • Distributed systems (Go + gRPC) • ML infra (Python + TensorFlow Serving). |
| Leadership signals | Mentor juniors in OSS, give a lightning talk, or publish a medium‑level library. |
Exit tests (Google/Meta bar):
• You solve LC “Hard” in 30 minutes 50 % of the time.
• You can whiteboard system‑design for Instagram Stories end‑to‑end.
• Strong referral + confident behavioral stories (team conflict, impact, learning).
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Mastery Loop (Years 2‑∞)
Continuous learning: read one engineering book per quarter.
Teach: blog, YouTube, conference CFPs (teaching deepens mastery).
Architectural ownership: design, measure, and iterate features at scale.
Community: core‑maintainer or tech‑lead roles.
Mastery is not a finish line but ongoing deliberate practice. Even senior FAANG engineers still solve problems weekly and read RFCs.
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Realistic Timelines
| Level you can reach | Fastest (aggressive) | Typical pace |
|---------------------|----------------------|--------------|
| First dev job (startup / internship) | 6–7 months | 9–12 months |
| FAANG interview‑ready | 12–15 months | 18–24 months |
| Architect / Staff engineer mastery | 4 years | 6–8 years |