Engineers preparing for a specific interview loop (FAANG/MAANG, a hot startup, or a level-up), AI/ML candidates who need someone who actually understands the systems, and anyone who keeps getting rejected without knowing why. If you want signal on where you really stand — not vague encouragement — that's the work.
If you're a company that wants to hire an expert interviewer or build a hiring loop, see Hire a Technical Interviewer & build your team →
Session Types
Pick a single mock, or a multi-session track toward a specific loop
DSA & algorithms
A realistic, timed coding round — real problem-solving, live. Then feedback on approach, edge cases, complexity, and how you communicated under pressure.
System design
A senior-level design round: scoping requirements, trade-offs, data models, scaling, and failure modes — plus a framework for structuring any design answer.
AI / ML & LLM
Machine learning, RAG, agentic AI, and ML-system-design questions from someone shipping these systems now — so your prep is current, not a dated syllabus.
Java & Spring / backend
Backend depth: concurrency, JVM, Spring Boot, API and system design — the fundamentals interviewers probe for senior backend roles.
Behavioral & leadership
STAR-structured behavioral rounds, including Amazon-leadership-principle-style questions — turn your experience into crisp, high-signal stories.
Full-loop track
A multi-session plan across every round in your target loop, with a written assessment and a focused study plan after each session.
How It Works
1 · Tell me the target
A free intro call to understand your target role, level, timeline, and where you think you're weakest.
2 · Run the mock
A realistic, timed round in your chosen area — treated exactly like the real thing, no hand-holding, so the signal is honest.
3 · Feedback & plan
An honest debrief and a written assessment: your signal per competency, where you lost points, and a concrete plan for what to practise next.
Most mock interviews are run by people who've never actually decided a candidate's fate. I have — hundreds of times. At Amazon I interviewed with bar-raising rigor; as an engineering leader at startups I built hiring loops and trained interviewers. I've also cleared Microsoft and Amazon interviews as a candidate, so I coach the strategy as well as critique the answer. And because I still ship production AI systems (Yuvan — a live voice-first AI tutor on LangGraph, RAG, and OpenAI Realtime), the AI/ML and system-design feedback is current and real.
Frequently Asked Questions
What is a mock interview session like?
A realistic, timed round that mirrors the real thing — DSA, system design, AI/ML, or behavioral — followed by honest, structured feedback and a written assessment with a concrete plan.
Which interviews can you help me prepare for?
DSA/algorithms, system design, ML/LLM/agentic-AI and ML-system design, Java/Spring backend, and behavioral / leadership-principles rounds — junior through staff+.
Are you a real interviewer or just a coach?
Both. Hundreds of interviews at Amazon and hiring-loop design as an engineering leader — plus I've cleared Microsoft and Amazon as a candidate, so I coach strategy, not just critique.
Do you cover AI/ML and system design specifically?
Yes — core areas, and current, because I ship production AI systems today.
How much does it cost and how do I book?
Hourly, rate on request depending on the round and whether you want a single mock or a track. Book a free intro call to get a recommendation.
Related
Hire a Technical Interviewer →
For companies: interview-as-a-service and building your hiring loop from scratch.
AI Architecture Mentoring →
Go beyond interview prep — 1:1 mentoring on real AI system design.
Agentic AI Training →
Build genuine depth in the agent stack, 1:1 or team.
All Training →
Full catalog of AI and backend training tracks.
Experience & Resume →
15+ years across Amazon, Agoda, CoinSwitch, and startups.
Book a Session →
Tell me your target role and timeline.