Resume & LinkedIn

Write a resume that passes ATS filters and impresses FAANG recruiters. Craft a LinkedIn profile that gets you inbound. Templates, formulas, and real examples.

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Why Your Resume is a Filtered Document

Most resumes are rejected in under 10 seconds by an ATS (Applicant Tracking System) before a human sees them. Recruiters who do see your resume spend ~6 seconds on first pass.

The reality:
  1. ATS parses your resume → filters for keywords, format, years of experience
  2. Recruiter scans (6 sec) → "is there a relevant signal?"
  3. Hiring Manager reviews → "can I picture this person doing the job?"
  4. Loop → are the signals specific and impressive?

Your resume is marketing material for one product: you. Every word must earn its place.


The Winning Formula: The FAANG Resume Template

One page (two pages only if you have 10+ years of directly relevant experience).

┌─────────────────────────────────────────────────────────────────┐
│  FULL NAME                                                       │
│  email@gmail.com · +91 XXXXX XXXXX · github.com/username        │
│  linkedin.com/in/username · Portfolio: yoursite.com             │
├─────────────────────────────────────────────────────────────────┤
│  EDUCATION                                                       │
│  Degree, Major — University Name              YYYY – YYYY        │
│  GPA: X.X/10 (include if >7.5/10 or >3.5/4.0)                  │
├─────────────────────────────────────────────────────────────────┤
│  EXPERIENCE                                                      │
│  Job Title · Company Name                    Month YYYY – Present│
│  • Bullet 1 (impact-first formula — see below)                   │
│  • Bullet 2                                                      │
│  • Bullet 3                                                      │
├─────────────────────────────────────────────────────────────────┤
│  PROJECTS (only if adding value over experience)                 │
│  Project Name | Tech Stack Used              [GitHub] [Live]     │
│  • Impact bullet                                                 │
├─────────────────────────────────────────────────────────────────┤
│  SKILLS                                                          │
│  Languages: Python, Java, JavaScript, TypeScript, C++            │
│  Frameworks: React, Next.js, Spring Boot, Node.js, FastAPI       │
│  Databases: PostgreSQL, MongoDB, Redis                           │
│  Tools: Docker, Kubernetes, AWS, Git, CI/CD (GitHub Actions)    │
└─────────────────────────────────────────────────────────────────┘

The Bullet Point Formula

Every bullet must answer: "So what? Who cares? How much?"

Formula: Accomplished [X] as measured by [Y] by doing [Z]

Or: [Strong Verb] + [What you built/did] + [Impact/Result] + [Scale/Context]

Transforming Weak Bullets into Strong Ones

❌ Weak: "Worked on backend APIs for the e-commerce platform"
✅ Strong: "Designed and deployed 12 RESTful APIs serving 2M daily requests,
            reducing average response time by 40% via Redis caching"

❌ Weak: "Improved database performance"
✅ Strong: "Optimized 8 critical PostgreSQL queries with composite indexes,
            reducing P99 latency from 2.3s to 180ms for the checkout flow"

❌ Weak: "Built a microservices architecture"
✅ Strong: "Decomposed monolithic Python service into 6 microservices using
            Docker + Kubernetes; cut deployment time from 45 min to 8 min"

❌ Weak: "Developed frontend features"
✅ Strong: "Rebuilt product listing page in React, reducing Largest Contentful
            Paint by 58% (3.2s → 1.3s) and lifting conversion rate 12%"

Strong Verbs by Category

Engineered, Architected, Designed, Built, Developed, Implemented,
Optimized, Refactored, Reduced, Improved, Increased, Accelerated,
Led, Mentored, Drove, Collaborated, Delivered, Shipped, Launched,
Automated, Deployed, Migrated, Scaled, Integrated, Debugged

ATS Optimization

✅ Use standard section headings: EXPERIENCE, EDUCATION, SKILLS, PROJECTS
✅ Use a simple, single-column layout (ATS struggles with tables/columns)
✅ Save as PDF (preserves formatting) or plain text DOCX if required
✅ Mirror keywords from the job description (not keyword stuffing — genuine use)
✅ Spell out abbreviations once: "Kubernetes (K8s)"
✅ Use standard date formats: "Jan 2023 – Present" or "2023 – Present"

❌ No graphics, logos, or icons in the header
❌ No tables for layout (ATS reads them incorrectly)
❌ No headers/footers (ATS often skips these)
❌ No text boxes or text in shapes

LinkedIn Profile Optimization

LinkedIn is where recruiters search. A strong profile gets inbound messages from top companies.

Headline (The Most Important Line)

❌ Weak: "Software Engineer at TCS"
✅ Strong: "Software Engineer | Full-Stack (React · Node.js · AWS) | Open to SDE-2 roles"
✅ Strong: "Backend Engineer | Java · Spring Boot · Microservices | Prev: Razorpay · BITS Pilani"

Include: title + key tech + signal (company, college, or open to roles).

About Section (First 3 Lines Matter Most)

Hook (visible without "see more"):
  "I build backend systems that handle millions of requests. Currently at XYZ,
   where I led migration to microservices cutting infrastructure cost by 35%."

Then expand:
  - What you're good at (specific technologies and domains)
  - What you're looking for (optional, if actively searching)
  - 2-3 highlight achievements
  - Close with: "Feel free to reach out: email@gmail.com"

Experience — Same Bullet Formula as Resume

Copy the strongest 2-3 bullets from your resume. LinkedIn has space for more — add context.

Skills Section

LinkedIn prioritizes profiles with skills endorsed by connections. Add 15-20 relevant skills. The top 3 show on your profile card.

Creator Mode & Activity

  • Share 1-2 technical posts per month (blog post, TIL, breakdown of a concept)
  • Engage genuinely with posts from engineers at target companies
  • This puts you in recruiters' feeds

Getting Past the Resume Black Hole

Resume success funnel:
  Applied 100 →
  ATS pass ~40 →
  Recruiter screen ~15 →
  Hiring manager review ~8 →
  Phone screen ~5 →
  Onsite ~3 →
  Offer ~1

The funnel is brutal. Short-circuit it:

1. Employee Referral — the single most powerful lever
   → Connect with engineers at target companies on LinkedIn
   → Ask for a coffee chat (not a referral directly — build the relationship first)
   → After the conversation, ask: "Would you be comfortable referring me?"
   → Referred candidates skip the ATS and go straight to recruiter review

2. Cold outreach to recruiters
   → "Hi [Name], I applied for [Role ID] at [Company].
     I'm a backend engineer with 3 years in fintech (Node.js, PostgreSQL).
     Happy to share more context if helpful. Thanks!"

3. Apply on the company careers page (not LinkedIn Easy Apply)
   → Less competition, more fields to stand out

Common Interview Questions

Action Steps

  1. Today: Write 5 impact bullets from your current/last job using the formula. Share them in a peer review.
  2. This week: Update your LinkedIn headline and About section. Add your GitHub link.
  3. This month: Get 3 referrals from people you've worked with or networked with.

Next: Behavioral Framework — telling your stories in interviews.