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Case Studies/AI Resume Coach

AI Resume & Interview Coach

An AI-powered career assistant that analyzes resumes, matches job descriptions, and simulates interviews — built over 4 sprints using real Agile practices.

Product Management
AI Integration
Agile Methods
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Project Summary

Role

Product Manager + Agile PM

Timeline

Agile Simulation - 4 Sprints

Stack

React, FastAPI, PostgreSQL, Jira, GitHub, Miro, QA Delivery

Status

Simulated MVP - Fully Documented

Project Objective

Help job seekers improve their resumes, match them to job descriptions, and prepare for interviews using AI feedback — all designed through an end-to-end Agile simulation.

Strategic Foundations

Competitive Benchmarks

Jobscan and similar tools

Personalization with AI/GPT

+ LLM

Content docs, stories, and build plans in one

Stored in MVP-specific design to build with users

Stored in MVP-specific design to build with users

through to build with users

MVP Features

Feature

Resume Upload

Description

PDF parser that uploads and auto-validation

Feature

Resume Scoring

Description

AI-based ATS scoring and readability feedback

Feature

JD Matching

Description

AI-based job description and match percentage

Feature

Interview Simulation

Description

AI-generated questions + mock feedback

Feature

Dashboard

Description

Personalized insights and recommendations

AI Stack & Tech Overview

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Frontend

React with auto-validation

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Backend

FastAPI for API development

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Database

PostgreSQL for data storage

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AI/ML

Hugging Face for NLP models

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Project Management

Jira for sprint tracking

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Version Control

GitHub for code management

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Jira Sprint Timeline

AI Resume Coach Project Timeline

5 completed epics spanning from April to March with all deliverables marked as DONE

Jira timeline showing AI Resume Coach project with 5 completed epics: Resume Analysis Module, User Authentication & Profile, AI Mock Interviews, Dashboard & Career Insights, and Final Testing & Deployment
ARIC-1
DONE

Resume Analysis Module

ARIC-2
DONE

User Authentication & Profile

ARIC-3
DONE

AI Mock Interviews

ARIC-4
DONE

Dashboard & Career Insights

ARIC-5
DONE

Final Testing & Deployment

Sprint Planning & Execution

1

Sprint 1

Research + Planning

100%

Research against FastAPI, PostgreSQL, schema

2

Sprint 2

Core Features

100%

Drag/drop, menu toggles

3

Sprint 3

AI Matching

100%

AI-resume match logic, testing AI

4

Sprint 4

Interview + Polish

100%

AI question engine, dashboard polish

Stakeholder Feedback

Conducted 7 demo sessions

Received 15/15 feedback

Added resume segment highlighting and theme toggles

Reprioritized backlog based on input

Project Metrics

20+
User Stories
Completed
3
AI Models
Integrated
30+
Test Cases
Documented
30+
Code Commits
Tracked
120%
Sprint Velocity
Achieved

What I Learned

PM frameworks brought clarity to feature prioritization

AI integrations required strong backend decisions

User feedback loops improved UX significantly

Documented process enabled better scope and roadmap decisions

Explore More

See more case studies or download my resume to learn about my experience.

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