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FAANG/Top MNC Role Roadmap (50-70 LPA)
This roadmap outlines a structured 6-month plan for securing high-paying FAANG/Top MNC software engineering roles, targeting 50-70 LPA. It emphasizes deep technical skill development in JavaScript, React, React Native, DSA, and System Design, alongside high-impact project creation, focused interview preparation, and strategic job hunting, including LLM and Mobile AI specialization.
Key Takeaways
Master JavaScript, React, React Native, DSA, and System Design.
Develop high-impact projects, especially in Mobile AI/LLM.
Follow a structured 6-month study and job hunting plan.
Prioritize daily practice, mock interviews, and strategic networking.
Understand FAANG expectations and avoid common preparation mistakes.
What is the 6-Month Master Roadmap for FAANG/MNC roles?
This 6-Month Master Roadmap systematically prepares individuals for high-paying FAANG/Top MNC software engineering roles. It builds foundational JavaScript, React, and DSA skills, progressing to React Native, full-stack development, advanced system design, LLM, and mobile AI. This structured approach ensures comprehensive skill development and readiness for rigorous technical interviews, covering essential breadth and depth required by top-tier companies.
- Month 1: JS deep dive; DSA (Arrays & Strings).
- Month 2: React core, hooks; DSA (Linked Lists, Trees).
- Month 3: React Native core; DSA (Graphs, Backtracking).
- Month 4: Full-stack (Node.js/Express); DSA (Dynamic Programming).
- Month 5: Advanced full-stack (Next.js); HLD.
- Month 6: LLM/Mobile AI specialization; intensive interview prep.
How can one specialize in LLM and Mobile AI for top tech roles?
Specializing in LLM and Mobile AI requires mastering generative AI concepts, transformer architecture, and prompt engineering. For mobile integration, focus on on-device AI, model optimization, and integrating LLMs into React Native using tools like TF.js or ONNX. This specialization is vital for developing production-ready mobile AI applications, emphasizing performance, privacy, and scalable architecture, making candidates highly valuable.
- LLM Foundations: Generative AI, Transformers, Embeddings, Prompt Engineering.
- On-Device AI & Mobile Integration: Model optimization, RN LLM integration, AI camera pipelines.
- Production-Ready Mobile AI: Performance, privacy, use-cases, model versioning, scalable architecture.
What is an effective 90-day job hunting strategy for FAANG/MNC roles?
An effective 90-day job hunting plan starts with optimizing your resume for FAANG standards and building a strong LinkedIn and GitHub presence. The second month focuses on strategic outreach, including recruiter engagement, referrals, and tailoring applications to bypass ATS filters. The final month dedicates to intensive interview preparation, mock interviews, mastering behavioral questions, and conducting targeted company research.
- Day 1-30: Optimize resume, build LinkedIn/GitHub, select high-impact projects.
- Day 31-60: Recruiter outreach, referral strategy, tailor ATS-proof applications.
- Day 61-90: Mock interviews, behavioral prep, system design, targeted company research.
How should one prepare for FAANG/MNC technical and behavioral interviews?
Interview preparation for FAANG/MNC roles demands a multi-faceted approach: React Native, DSA, JavaScript intricacies, System Design, LLD, and behavioral aspects. Master React Native, practice company-specific DSA patterns, and understand JavaScript's event loop. System design covers mobile and backend scalability; LLD focuses on practical design problems. Behavioral interviews require STAR method mastery and alignment with leadership principles.
- React Native: Prepare 300+ Q&A (core, hooks, native modules).
- DSA: Practice company-wise patterns, Blind 75/Grind 75, timed mocks.
- JavaScript: Understand event loop, promises, prototypal inheritance.
- System Design: Cover mobile, backend, distributed systems scalability.
- LLD: Practice designing common systems, applying UML/design patterns.
- Behavioral: Master STAR method, understand leadership principles.
- Expectations: Focus on coding, system design depth, behavioral.
Which high-impact projects are recommended to showcase skills for top tech roles?
High-impact projects are crucial for demonstrating practical skills and innovation to top tech companies. Recommended projects include an AI-Powered Personal Assistant (Mobile) using LLM APIs, a Real-time Collaborative Whiteboard (WebSockets, CRDTs), and a Mobile AI Fitness Coach (on-device vision). An LLM-driven Code Assistant and a Cross-platform AR Shopping App also showcase advanced capabilities in AI, real-time systems, and native mobile development.
- AI-Powered Personal Assistant: LLM API, edge processing, vector DB for task management.
- Real-time Collaborative Whiteboard: Next.js, WebSockets, CRDTs for low-latency drawing.
- Mobile AI Fitness Coach: RN, MediaPipe Pose, ONNX Runtime Mobile for exercise correction.
- LLM-driven Code Assistant: Context-aware code generation with LLM APIs, VS Code.
- Cross-platform AR Shopping App: ARKit/ARCore via native modules for virtual try-on.
What is an effective daily study routine for preparing for FAANG/MNC roles?
An effective daily study routine for FAANG/MNC preparation involves dedicating 4-6 hours daily, split into deep work blocks for focused learning, practice (LeetCode/projects), and review. Weekdays prioritize core learning, DSA, and project development. Weekends are ideal for HLD, LLD, AI deep dives, and networking. A revision strategy with spaced repetition and tracking progress is essential to maintain momentum and prevent burnout.
- 4-6 Hours/Day: Deep work blocks, practice, review/documentation.
- Weekday vs Weekend: Weekdays for learning/DSA; weekends for HLD/LLD, AI, networking.
- Revision Strategy: Spaced repetition, weekly/monthly reviews, re-solve hard problems.
- Burnout Prevention: Scheduled breaks, physical activity, sleep, hobbies.
- Metrics: LeetCode counts, project milestones, mock interview scores, learning hours.
What are the key realities and common pitfalls when pursuing FAANG/MNC roles?
Pursuing FAANG/MNC roles demands a high skill bar: exceptional problem-solving, deep system design knowledge, production-grade coding, and strong communication. Common mistakes include shallow learning, neglecting system design or behavioral prep, lacking high-impact projects, and poor interview practice. To stand out, showcase ownership, specialize in Mobile AI/LLM, contribute to open source, and master storytelling with the STAR method. Apply only when consistently passing mock interviews (70%+).
- Skill Bar: Exceptional DSA, deep system design, production-grade coding, strong communication.
- Common Mistakes: Avoid shallow learning, neglecting system design/behavioral, weak projects.
- How to Stand Out: Showcase ownership, specialize in Mobile AI/LLM, open source, STAR method.
- When to Apply: Apply when consistently passing mocks (70%+); wait if core concepts or projects are weak.
Frequently Asked Questions
What is the target salary range for this roadmap?
This roadmap targets software engineering roles with a salary range of 50-70 LPA (Lakhs Per Annum) at FAANG and other top-tier multinational companies.
How long does this preparation roadmap typically take?
The core master roadmap is designed for a 6-month intensive preparation period, followed by a 90-day focused job hunting phase.
What are the key technical areas covered in the 6-month roadmap?
The roadmap covers JavaScript, React, React Native, Data Structures & Algorithms (DSA), System Design (LLD/HLD), and specialized LLM/Mobile AI concepts.
Why is project development emphasized in this roadmap?
High-impact projects demonstrate practical application of skills, problem-solving abilities, and innovation, which are critical for standing out to top tech recruiters.
What is the importance of mock interviews in this preparation?
Mock interviews are crucial for simulating real interview conditions, identifying weak areas, improving communication, and building confidence before actual company interviews.
