Clearing all rounds comes down to three things: strong DSA (arrays, strings, hashmaps, trees, graphs), core CS subjects like OOP, DBMS and OS, and complete command over the projects on your resume. Interviewers judge how you think, so practise explaining your approach out loud while coding instead of jumping straight to the solution. Do a few mock interviews before the real one so time pressure doesn't fluster you, and give yourself 2–3 months of consistent preparation rather than cramming at the end.

Follow a week-wise plan: weeks 1–2 for revising DSA patterns and solving around two problems daily, week 3 for OOP, DBMS, OS and networking basics along with polishing your resume and project explanations, and week 4 for timed mocks, HR answers and company-specific research. If your DSA basics are weak, stretch the same plan to 60–90 days instead of rushing it. Depth of revision matters more than the number of problems solved.

The usual mix is coding problems on arrays, strings, linked lists and searching/sorting, OOP concepts like inheritance, polymorphism, abstraction and encapsulation, basic SQL queries, and a few OS or networking fundamentals. Resume-based questions carry almost equal weight: walk me through your project, what challenges did you face, why this tech stack. Interviewers often twist well-known problems slightly, so understand the logic instead of memorising answers.

Most companies in India follow 4–5 stages: an online assessment with aptitude and coding, one or two technical rounds on DSA and CS fundamentals, sometimes a machine coding or low-level design round depending on the role, and a final HR or hiring manager discussion. Product-based companies usually keep tougher coding rounds, while service-based companies weight aptitude, SQL and communication more heavily. Always check recent candidate experiences for the specific company, because patterns change.

Go deep on the fundamentals first — semantic HTML, CSS layout with flexbox, grid and responsive design, and JavaScript internals like the event loop, closures, promises and async/await. Then master one framework thoroughly; React is the safest bet in the Indian market, covering hooks, state management and rendering behaviour. Be prepared for a machine coding or live UI round where you build something like a todo app or a responsive navbar under time pressure, and know every project on your resume well enough to defend it.

Senior-level prep is about architecture, not syntax. Practise front end system design questions (design a news feed, an autocomplete, a reusable component library), performance optimization like code splitting, lazy loading and caching, state management trade-offs, testing and web security basics. You will also be assessed on ownership — production issues you've handled, technical decisions you've made and how you mentor juniors — so prepare detailed stories from your own work and be ready to justify every trade-off.

Expect JavaScript basics such as == vs ===, var/let/const, hoisting and event delegation, CSS questions on flexbox vs grid, specificity and responsive units, HTML semantics and accessibility, and entry-level React questions like virtual DOM, props vs state and useEffect. A small live task — a counter, stopwatch, todo app or responsive card layout — is also very common. Strong core JavaScript plus one framework you genuinely know covers most fresher frontend rounds.

Use a single-column layout with standard headings like Summary, Skills, Projects and Education, a common font, and no tables, text boxes, photos or icons, because parsers frequently misread them. Mirror the exact keywords from the job description in your skills and project bullets, quantify results wherever possible, and export as PDF unless the portal asks for .docx. At the fresher level one clean page is enough — content and keyword relevance matter far more than design.

Because in most companies your resume is screened by software before a human ever sees it. Many candidates never learn how to pass an ATS resume check, so their application is filtered out over fixable issues like tables, graphics, non-standard headings or missing keywords. Tailor the resume to each job description instead of sending one generic version, and run it through an ATS checker before every application to catch parsing problems early.

An ATS resume checker is a tool that simulates how applicant tracking systems scan your resume and flags problems like missing keywords, tables, images, non-standard headings and formatting errors. A good ATS resume score is generally 75–80% or above, but treat it as a diagnostic rather than a target — different tools score differently, and stuffing keywords to chase a perfect score can make your resume read unnaturally to the recruiter who sees it next. Fix the structural and keyword gaps the report points out, then review the resume manually for readability.

Reverse-chronological is the safest choice: single column, standard section headings, bullet points and consistent dates like "Jan 2024 – Present". If you're starting from scratch, a free ATS resume template in Word or Google Docs is genuinely enough — the premium designs with tables, multiple columns and icons are the ones that usually break parsers. Spend your energy on strong, role-relevant bullet points instead of the template itself.

ATS stands for Applicant Tracking System — the software companies use to collect, parse and rank the hundreds of applications they receive for every opening. It matches the keywords, skills and job titles in your resume against the job description and automatically moves the closest matches forward. That's why two candidates with similar profiles can get different outcomes — the one whose resume is formatted and worded so the system can read it gets shortlisted.

Smart casuals are safe for most tech interviews in India — clean trousers or dark jeans with a collared shirt or a plain, well-fitted t-shirt. Shift to formals for service-based giants, banks or client-facing roles. For online interviews, presentation matters more than clothing: pick a quiet, well-lit spot, test your camera and mic, and keep the background simple. When in doubt, being slightly overdressed is safer than walking in too casual.

Google's interviews lean heavily on data structures and algorithms, with multiple coding rounds on arrays, trees, graphs and dynamic programming where you're judged on how you approach an unfamiliar problem, not just the final answer. Experienced candidates also face system design and behavioral rounds on past projects and collaboration. Start 3–6 months in advance, practise explaining your approach and complexity out loud, solve problems in a plain document instead of an IDE to match the interview format, and take regular mock interviews under time pressure.

Coding community forums such as LeetCode Discuss, company review platforms like Glassdoor and AmbitionBox, and YouTube walk-throughs are the best sources. Reading 5–10 recent experiences for your target company shows you the typical round structure, difficulty level and the questions that keep repeating. Prioritise experiences from the last 6–12 months, since hiring patterns change quickly, and note down recurring topics rather than memorising individual answers.