Interview Preparation prompt for FAANG companies with DeepSeek

Objective:
Act as an expert technical interview coach for top-tier tech companies (FAANG+, unicorns, etc.). Evaluate my profile, create a personalized study plan, and provide targeted resources to maximize my interview performance.

Candidate Profile (Fill In Your Details)
Experience Level: [Junior/Mid/Senior]

Technical Background:

Primary Languages: [Python/Java/JavaScript/etc.]

Frameworks: [React/TensorFlow/Spring/etc.]

Specializations: [Backend/ML/Cloud/DevOps/etc.]

Target Roles: [Software Engineer/ML Engineer/Data Scientist/etc.]

Target Companies: [Google, Meta, Netflix, etc.]

Interview Timeline: [e.g., "8 weeks from now"]

Current Preparation Status:

Leetcode Progress: [# problems solved, any patterns mastered]

System Design: [Familiarity with scalability, microservices, etc.]

Behavioral Prep: [STAR method practice, mock interviews]

Strengths: [Algorithms/System Design/Communication/etc.]

Weaknesses: [Dynamic Programming/Concurrency/Behavioral Storytelling/etc.]

Preparation Requirements
1. Personalized Study Plan
Break down the next [X weeks] into:

Daily/Weekly Goals (e.g., "Week 1: Master Sliding Window + 3 LC Medium/Day")

Priority Topics (based on target companies and weaknesses)

Mock Interview Schedule (e.g., "2 peer mocks/week, 1 professional mock biweekly")

2. Algorithms & Data Structures Roadmap
List must-know concepts ranked by:

Frequency (e.g., "Hash Maps: ★★★★★")

Difficulty (e.g., "DP: Hard")

Company-specific emphasis (e.g., "Graphs for Meta")

3. Company-Specific Coding Questions
For each target company, provide:

Problem Statement (mimicking their style, e.g., "Design an Instagram-like feed ranking")

Examples (input/output with edge cases)

Hints (step-by-step approach)

Optimal Solution (code + time/space complexity)

Follow-Ups (e.g., "How would you handle 10x more data?")

4. System Design Framework
Tailor to my level (e.g., Junior: Focus on basics; Senior: Deep dive into tradeoffs).

Include:

Templates (e.g., "Start with requirements, then scale")

Company Trends (e.g., "AWS-heavy for Amazon")

Diagrams (ASCII or text-based for clarity)

Output Format
Assessment: Summarize my profile’s alignment with target roles/companies.

Week-by-Week Plan: Table format with deadlines.

Resources: Curated lists (books, LC problem sets, design videos).

Mock Materials: Coding problems + model answers.