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Master Resume Architect

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Master Resume Architect

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Master Resume Architect — a resume-analysis coach for ISB (Indian School of Business) PGP students building their MASTER RESUME. Give it the student's resume (a PDF) plus a one-line request like "can you analyze my resume and tell me how to improve it?" and it reads the resume natively (Gemini 3.5 Flash on Vertex AI) and returns a STRUCTURED, point-by-point improvement report. USE THIS AGENT whenever a user wants their resume / CV reviewed, analyzed, critiqued, scored, or improved — especially for consulting, general management, product, finance, or MBA placements — and most of all for ISB PGP master resumes. Typical triggers: "analyze my resume", "how can I improve my resume", "review my CV", "make my resume stronger", "is my resume good for consulting?", "give me feedback on my resume". It evaluates every bullet across three pillars: (1) Bullet Structure — flow, and whether to combine two weak points into one or split an overloaded point into two; (2) Data & Metrics — validates quantification, red-flags any quantifiable bullet missing a number, and suggests the metric dimension to add (revenue, scale, %, time); (3) Keywords & Context — role alignment, stronger action verbs, and positive, authoritative framing. It returns a scorecard, per-bullet feedback with ISB-compliant rewrites, combine/split moves, data red flags, keyword recommendations, and prioritized next steps. The MASTER-RESUME RULE it enforces: a master resume is the student's 3-4 page source of truth; tailored 1-page final resumes (up to ~10, one per role) are built by pulling points from it and may only be lightly tweaked, never invented (ISB placement policy). So every suggestion REFRAMES what is already on the resume or flags where to add the student's OWN real data (with [bracketed placeholders] for missing numbers). It NEVER fabricates achievements, numbers, employers, or scope, and it preserves the candidate's voice so they can defend every line in an interview. Input: a resume file (PDF or image, via attachments[]) + an optional one-line prompt, optional target_roles, and depth (quick | standard | thorough). Output: a single structured resume_analysis_report JSON.

Example input

{
  "prompt": "hey can you help me analyze my resume and tell me how I can improve it?",
  "target_roles": ["Strategy Consulting"],
  "depth": "standard",
  "attachments": [
    {
      "name": "master_resume.pdf",
      "mime": "application/pdf",
      "size": 184320,
      "signed_url": "https://storage.googleapis.com/quarktex-chat-attachments/<signed-get-url>"
    }
  ]
}

Example output

{
  "status": "ok",
  "deliverable_type": "resume_analysis_report",
  "title": "Master Resume Analysis — Strategy Consulting framing",
  "profile_snapshot": {
    "candidate_name": "Aarav Menon",
    "inferred_target_roles": ["Strategy Consulting", "General Management"],
    "stated_goal": "Analyze the master resume and find where it can be improved before tailoring for consulting roles.",
    "bullet_count": 28,
    "sections_detected": ["Education", "Work Experience", "Entrepreneurial / Social Impact", "Extracurriculars", "Awards"],
    "spike_read": "Social-impact work-ex is the clear spike — a recurring 'built from scratch + scaled' theme. Academics are solid but not yet framed as a spike (rank/percentile is buried).",
    "overall_assessment": "Strong raw material with a genuine work-ex spike, but the resume reads activity-first instead of impact-first and roughly a third of quantifiable bullets carry no number. Ownership verbs are inconsistent (several 'worked on' / 'helped' openings). The microfinance scale is impressive but under-monetised — you state member counts without the credit volume behind them. Tightening structure and pulling your real figures forward would move this from good to interview-grade."
  },
  "scorecard": {
    "bullet_structure": {"score": 6.5, "verdict": "Good, uneven", "comment": "Some bullets are crisp; others bury the lead or pack two achievements into one line."},
    "data_metrics": {"score": 5.0, "verdict": "Needs work", "comment": "~10 of 28 bullets are quantifiable but carry no number — the biggest single lever."},
    "keywords_context": {"score": 6.0, "verdict": "Improvable", "comment": "Several weak verbs and operations-flavoured phrasing dilute the consulting framing."},
    "overall": {"score": 6.0, "headline": "A real spike held back by activity-first phrasing and missing numbers — high upside with targeted fixes."}
  },
  "bullet_feedback": [
    {
      "id": "B1",
      "section": "Work Experience — Saath Microfinance",
      "original": "Worked with 14-50 SHG members to improve loan repayment and financial literacy.",
      "verdict": "red_flag",
      "structure": {"assessment": "Activity-first and vague — leads with 'worked with', no outcome.", "action": "keep", "detail": "Re-open with impact + ownership; keep as one line."},
      "data": {"has_data": false, "flag": "red", "assessment": "Quantifiable but unmonetised. Member count is a range, and the credit value + repayment delta are missing.", "suggested_metrics": ["credit / ₹ mobilised", "repayment rate before vs after (%)", "exact # of SHGs / members"]},
      "keywords": {"alignment": "Reads as social-work delivery, not consulting impact.", "weak_verbs": ["Worked with"], "stronger_verbs": ["Mobilised", "Drove", "Built"], "reframe": "Lead with the financial outcome you drove across the groups."},
      "suggested_rewrite": "Mobilised ₹[insert amount] in credit across [insert #] self-help groups ([insert # members]), lifting on-time repayment from [insert %] to [insert %] via a financial-literacy program you designed.",
      "integrity_note": "Plug in your real ₹ figure and repayment numbers — pull them from your branch MIS; don't estimate up."
    },
    {
      "id": "B2",
      "section": "Work Experience — Saath Microfinance",
      "original": "Mobilized INR 5.5 Cr to standardize a multi-branch credit chain and managed reporting for 1,000+ accounts.",
      "verdict": "split",
      "structure": {"assessment": "Two distinct achievements (₹5.5 Cr mobilisation AND a 1,000-account reporting system) crammed into one line — each can stand alone.", "action": "split", "detail": "Split into a 'mobilisation/standardisation' bullet and a 'reporting/ops' bullet to raise your usable point count."},
      "data": {"has_data": true, "flag": "amber", "assessment": "Strong ₹ figure, but no efficiency/growth delta on the reporting work and no comparison year.", "suggested_metrics": ["YoY growth in disbursal", "turnaround-time reduction on reporting", "error / NPA reduction %"]},
      "keywords": {"alignment": "Good — 'standardize', 'multi-branch' read well for consulting.", "weak_verbs": ["managed"], "stronger_verbs": ["Streamlined", "Re-engineered"], "reframe": "Swap 'managed reporting' for an outcome verb on the reporting system."},
      "suggested_rewrite": "A) Mobilised ₹5.5 Cr to standardise a multi-branch credit chain, [insert YoY %] growth in disbursals. B) Re-engineered reporting for 1,000+ accounts, cutting reconciliation turnaround by [insert %] / [insert days→hours].",
      "integrity_note": "Only split if both halves are genuinely yours — keep the ₹5.5 Cr where you can defend it."
    },
    {
      "id": "B3",
      "section": "Work Experience — Saath Microfinance",
      "original": "Helped the regional head prepare presentations for the quarterly review.",
      "verdict": "rephrase",
      "structure": {"assessment": "Low-impact support bullet; consider combining with another stakeholder-facing line or cutting if space is tight on the tailored copy.", "action": "combine", "detail": "Could fold into a leadership/communication bullet if you presented any of it yourself."},
      "data": {"has_data": false, "flag": "amber", "assessment": "Hard to quantify, but you can add the audience seniority / decision it informed.", "suggested_metrics": ["audience (e.g. presented to [N] regional heads)", "decision / outcome it drove"]},
      "keywords": {"alignment": "'Helped...prepare' signals bystander, not driver.", "weak_verbs": ["Helped", "prepare"], "stronger_verbs": ["Built", "Synthesised", "Presented"], "reframe": "Claim the analysis you actually owned."},
      "suggested_rewrite": "Built the quarterly-review analysis for the regional head covering [insert region/portfolio], surfacing [insert insight] that informed [insert decision].",
      "integrity_note": "If you only formatted slides, don't claim the analysis — reframe truthfully toward whatever you genuinely owned."
    },
    {
      "id": "B4",
      "section": "Entrepreneurial / Social Impact — Campus Venture",
      "original": "Launched a first-of-its-kind travel-day enterprise for the district.",
      "verdict": "needs_data",
      "structure": {"assessment": "Good impact-first opener, but it stops at the launch — no scale or result.", "action": "keep", "detail": "Append scale + outcome to complete the formula."},
      "data": {"has_data": false, "flag": "red", "assessment": "Launch with zero quantification reads as a claim, not a result.", "suggested_metrics": ["customers / participants served", "revenue generated", "# of trips / partners onboarded"]},
      "keywords": {"alignment": "'first-of-its-kind' is strong; keep it.", "weak_verbs": [], "stronger_verbs": ["Launched", "Pioneered"], "reframe": "Pair the pioneering frame with proof it worked."},
      "suggested_rewrite": "Pioneered the district's first travel-day enterprise, serving [insert #] customers and generating ₹[insert revenue] across [insert # months].",
      "integrity_note": "Find your real participant + revenue numbers from your records before sending — placeholder stays until then."
    }
  ],
  "structure_moves": {
    "combine": [
      {"bullets": ["B3", "B7"], "rationale": "Both are stakeholder-communication support tasks; merged they make one credible 'communicated to senior leadership' bullet instead of two weak ones.", "merged_example": "Synthesised portfolio analyses for the regional head and [insert forum], informing [insert decision] across [insert region]."}
    ],
    "split": [
      {"bullet": "B2", "into": ["Mobilised ₹5.5 Cr to standardise a multi-branch credit chain ([insert YoY %] disbursal growth).", "Re-engineered reporting for 1,000+ accounts, cutting reconciliation turnaround by [insert %]."], "rationale": "Two distinct, individually-strong achievements — splitting raises your master's usable point count and isolates a 'scale' win from an 'efficiency' win."}
    ]
  },
  "data_red_flags": [
    "B1 — quantifiable but no number; add ₹ credit mobilised + repayment delta + exact member count.",
    "B4 — launch with no scale/result; add customers served + revenue.",
    "Education — your rank/percentile exists but isn't surfaced; add it to convert academics into a second spike."
  ],
  "keyword_recommendations": {
    "target_framing": "Consulting impact (problem -> action -> quantified result), not operations/social-work task language.",
    "add_keywords": ["stakeholder management", "process standardisation", "go-to-market", "portfolio growth", "cross-functional"],
    "strong_action_verbs": ["Mobilised", "Spearheaded", "Re-engineered", "Streamlined", "Diagnosed", "Negotiated", "Scaled"],
    "avoid_words": ["worked on", "helped", "assisted", "managed (when you led)", "responsible for", "prepared"],
    "comparative_data_ideas": [
      "Show disbursal / repayment this year vs last to evidence a growth trend.",
      "Frame the literacy program's repayment lift as before -> after."
    ]
  },
  "priority_actions": [
    "Fix the 3 red-flag bullets first (B1, B4, Education spike) — quantifying these moves the data score the most.",
    "Re-open every 'worked on / helped' bullet with an ownership verb + impact.",
    "Split B2 into a scale bullet and an efficiency bullet to add a usable point.",
    "Surface your academic rank/percentile to build a second spike alongside work-ex.",
    "Sweep all bullets for the action/scale/impact formula; add scale where revenue isn't available."
  ],
  "master_resume_integrity_note": "Every suggestion here is a reframing of what's already on your resume or a prompt to add your OWN verified data (shown as [bracketed placeholders]). Nothing invents an achievement or a number — so when you pull these points into your up-to-10 tailored final resumes, they stay ISB-compliant and you can defend each line in an interview.",
  "encouragement": "Your microfinance spike is genuinely strong — once the numbers behind it are on the page, this resume will punch well above its current read.",
  "confidence": "high",
  "notes": "Analysed at 'standard' depth — covered the highest-leverage bullets and every red-flag; a few low-impact extracurricular lines weren't individually itemised. Re-run at depth='thorough' for a line-by-line pass of all 28 bullets."
}