Coding rounds
A core part of the tech interview prep workflow.
Prepare for software, backend, data, AI, cloud, and DevOps interviews with resume scoring, Company Game Plans, AI mock interviews, and curated learning signals.
How Tech Interview Prep works
What you get
What Indian tech interviews actually test — coding, system design, SQL rounds, project deep dives and HR — with real questions and a day-by-day plan.
Coding rounds
01System design
02Resume gaps
03Company Game Plan
04Why you can trust it
Everything below is what the tool actually does — with clear limits, guardrails, and the next step always visible.
A core part of the tech interview prep workflow.
A core part of the tech interview prep workflow.
A core part of the tech interview prep workflow.
A core part of the tech interview prep workflow.
How it works
Each step below is what actually happens, in order — so you always know what comes next.
Pick the target role
Score the resume
Generate a Company Game Plan
Practice the riskiest round
Deep dive
A closer look at what this workspace does — and how each part helps you move faster.
PrepNPlaced connects the target company, role, resume, JD, and sources before recommending practice.
After scoring your resume or generating a Company Game Plan, use AI Mock Interview and My Study Plan to practice the highest-risk areas.
For software roles, start with implementation clarity, test cases, complexity, and explanation. A candidate should be able to solve the problem and explain why the chosen approach fits the constraints.
System design preparation should start with requirements and constraints before services, APIs, databases, cache, queues, and tradeoffs. Even mid-level candidates benefit from structured explanation practice.
Indian tech interviews for data analyst, analytics engineer, and data engineer roles often test SQL/data rounds, metrics, data cleaning, dashboard decisions, PySpark, pipelines, and data quality. Preparation should match the exact role family.
Project rounds reward ownership and clarity. Prepare the problem, data flow, technical choices, limitations, debugging story, result, and what you would improve if the project were rebuilt.
Behavioral answers should be truthful, concise, and role-aware. Candidates should prepare examples for conflict, deadlines, mistakes, learning speed, communication, and why the target role makes sense.
A seven-day plan should focus on urgent gaps and mock practice. A thirty-day plan can add projects and targeted revision. A sixty-day plan can build portfolio proof, resume improvement, and repeated interview loops.
Every week should end with evidence: solved questions, one project update, a resume improvement, and one mock interview insight. This keeps preparation measurable instead of becoming an endless list of topics.
If the resume has weak projects, practice project deep dives. If the JD is backend-heavy, practice system design. If the role is analyst-heavy, practice SQL and case questions. If the phone screen is near, practice communication and HR answers.
Questions
Straight answers to the questions people ask most before getting started.
Yes. AI Mock Interview supports technical rounds including coding, DSA, system design, project depth, and behavioral practice.
Yes. The platform is role-aware, so the plan changes by resume evidence, target role, and seniority expectations.
Start by scoring your resume against a JD or generating a Company Game Plan for the company and role.
Next workflow
Keep moving through the connected workflow without losing the target role context.
Resume Score
Find resume gaps.
Company Game Plan
Understand the interview target.
DSA Mock Interview
Practice coding rounds with test-case thinking.
System Design Mock Interview
Practice APIs, data models, and scale tradeoffs.
Project Interview Practice
Prepare resume project follow-up answers.
Coding rounds
System design
Resume gaps
Company Game Plan