Engineer Interview Prep

From Preparation to Offer

10 sessions to get you ready for SDE and MLE interviews at top tech companies. Covers behavioral questions, coding problems, and system design (distributed systems and ML systems). You'll practice with real questions and get direct feedback — not just watch lectures.

Program Overview

Behavioral Sessions

Master your story and communication

Coding Sessions

Sharpen problem-solving skills

System Design Interview Sessions

Distributed systems and ML system design

Who This Is For

✓ SDE or MLE candidates targeting top tech companies
✓ Engineers aiming for senior, staff, or ML-focused roles
✓ People returning to the job market after a break
✓ Anyone who wants structured practice with real feedback

Session Breakdown

BQ Behavioral Interview (2 Sessions)

Session 1 — Your Story & Leadership Principles

Structure your experience into clear, compelling stories. Learn STAR method and how to map your background to leadership principles.

Topics: Self-introduction, STAR framework, leadership principle mapping, story bank development

Session 2 — Mock Interviews & Feedback

Practice with realistic questions and get direct feedback on clarity, depth, and how you come across.

Topics: Mock BQ rounds, conflict resolution, cross-team collaboration, handling ambiguity, delivering results under pressure

CD Coding Interview (4 Sessions)

Session 1 — Data Structures & Patterns

Review core data structures and common coding patterns. Focus on recognizing problem types and selecting the right approach.

Topics: Arrays, hash maps, stacks, queues, two pointers, sliding window, prefix sums

Session 2 — Trees, Graphs & Recursion

Deep dive into tree and graph problems. Practice DFS, BFS, backtracking, and dynamic programming fundamentals.

Topics: Binary trees, graph traversal, topological sort, backtracking, memoization

Session 3 — Advanced Problem Solving

Harder problems that combine multiple concepts. Focus on optimization, edge cases, and explaining your reasoning clearly.

Topics: Dynamic programming, greedy algorithms, binary search variations, interval problems

Session 4 — Mock Coding Interviews

Timed mock rounds. Practice thinking out loud, taking hints well, and recovering when you get stuck.

Topics: Timed problem solving, whiteboard communication, complexity analysis, code review

SD System Design Interview (4 Sessions)

Session 1 — Interview Framework & Fundamentals

Learn how to approach system design questions: clarify requirements, estimate scale, and walk interviewers through your decisions.

Topics: Requirements gathering, capacity estimation, high-level architecture, API design, data modeling

Session 2 — Distributed Systems & Scalability

The building blocks interviewers expect you to know — load balancing, caching, sharding, queues — and how to talk about them clearly.

Topics: Horizontal scaling, CDN, caching strategies, database replication, consistency models, message queues

Session 3 — ML System Design & Common Interview Problems

Practice common interview problems — both classic infrastructure (URL shortener, chat system) and ML systems (recommendation engines, search ranking, data pipelines).

Topics: End-to-end design, ML pipelines, feature stores, model serving, recommendation systems, trade-off analysis, monitoring and observability

Session 4 — Mock System Design Interviews

Full mock rounds with real-time feedback. Practice structuring your answer, handling follow-ups, and thinking on your feet.

Topics: Timed design exercises, whiteboard communication, deep-dive follow-ups, design critique

Book a Free Consultation

Not sure where to start? Book a free 30-minute call and we'll help you figure out the right path.

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No commitment. No sales pitch. Just a conversation about your goals.