Lead with your education and give the most space to academic projects, internships, hackathons, and open-source contributions, because these replace the work experience section when you are starting out. Use bullet points that show impact — for example, "built a REST API that reduced response time by 40%" instead of just listing technologies. A software engineer resume for freshers should prove you can build and ship something, not just that you studied computer science.

Look at samples shared by seniors placed in product companies, your college's placement cell, or candidates who post their interview experiences on LinkedIn, since these reflect what actually works in India right now. Use a sample only as a structural reference for sections and ordering — never copy the content, because recruiters can spot generic, recycled resumes instantly. Compare two or three samples and note what the strongest one does differently: quantified impact, clean layout, and role-relevant skills.

Use a single-column layout, standard section headings like Education, Skills, Projects, and Experience, and a readable font in the 10-12 range, because ATS software can misread tables, graphics, and two-column designs. Export it as a PDF unless the job portal specifically asks for a Word file, and keep the file name professional. One page is the ideal length for anyone with under 8-10 years of experience.

Using a template is completely fine — what matters is that the template is simple, single-column, and ATS-friendly, not that you invented the layout yourself. The problem starts with heavily designed templates that use skill bars, photos, and multiple columns, which look good to humans but break ATS parsing. Pick a clean template, then rewrite every line in your own words with your own projects and numbers.

A software engineer resume on Overleaf is a safe choice if you are comfortable with LaTeX — it gives clean, consistent formatting and there are well-tested templates that CS students already use for placements. Word or Google Docs is better if you want to edit quickly and the portal asks for a DOCX file. Whichever tool you pick, export a PDF and open it on another device to confirm nothing has shifted.

A mock interview is a simulated interview that copies the format, pressure, and question style of a real one, conducted by a friend, mentor, or an engineer already working in the role you want. It helps in three ways: you practice structuring answers out loud, you get feedback on mistakes you cannot notice yourself, and you reduce the fear of the actual interview room. Most freshers lose offers to nervousness, not lack of knowledge, and mock interviews directly target that gap.

Expect a mix of DSA problems solved live while explaining your thought process, core CS fundamentals like OS, DBMS, and OOP, a discussion of the projects on your resume, and sometimes system design for senior roles. A realistic set of mock interview questions will also include behavioural prompts such as "tell me about a conflict in a team project". If your interviewer only asks questions and never pushes follow-ups like "why did you choose that approach?", the practice is not realistic enough.

Practice solving problems while speaking your reasoning aloud, then attempt the same question type under a timer a day later instead of re-reading the solution. For every DSA question, force yourself to state the brute-force approach first and then optimise, because interviewers grade the thought process, not just the final code. Maintaining a list of the questions you fumbled and revising only those is far more effective than re-solving everything.

You can practice with college seniors, run peer-to-peer mock rounds through coding communities on Discord and Telegram, or use AI-based interview tools that give instant feedback on your answers. These free options are great for volume, but a peer usually cannot judge you the way an experienced interviewer can, so treat them as warm-up rounds. Even two or three serious mock rounds with someone experienced before the placement season make a visible difference.

A mock interview with AI is excellent for repetition — you can practice DSA, HR answers, and follow-up questions at any hour without feeling judged, and modern tools give decent feedback. Where it falls short is realism: a human interviewer reads your hesitation, interrupts you, and tests how you handle pressure in ways AI cannot fully copy. The best approach is to build confidence with AI rounds and then do at least a few mocks with an actual engineer before the real interview.

Yes, especially because campus placement interviews are compressed — you often get one DSA round and one HR round to prove yourself, so a weak first impression is hard to recover from. A mock interview for freshers exposes problems like rambling answers, weak project explanations, and panic on unseen problems while there is still time to fix them. Ideally, schedule your first mock at least three to four weeks before the placement season begins, not the night before.

A practical FAANG interview preparation roadmap spans three to six months: the first two months on DSA patterns like arrays, trees, graphs, and dynamic programming, the next month on core CS subjects and system design basics, and the final stretch on mock interviews and company-specific question patterns. Work on your resume and projects in parallel throughout, because referrals and shortlisting decide whether your preparation even gets tested. Trying to compress everything into the last month is the most common reason strong candidates fail.

A FAANG interview preparation course mainly buys you structure, deadlines, and mentor feedback — valuable if you struggle with consistency, but unnecessary if you can already follow a plan and solve problems steadily. Self-study with standard DSA sheets, system design resources, and regular mock interviews works well for disciplined candidates at almost no cost. Before paying for any course, check whether it includes live mock interviews with working engineers, since that is the component most self-study plans genuinely lack.

FAANG interview preparation for experienced engineers weighs system design, architecture trade-offs, and leadership stories far more heavily than pure DSA speed, though at least one coding round still tests fundamentals. Expect deep follow-ups on the projects you claim — interviewers will drill into why your design scaled, what broke, and what you would change today. Your resume is also scrutinised harder, so achievements with real metrics matter more than course lists and certifications.