🚀 Rishi's Interactive Resume MCP Server

An innovative, AI-powered resume server built with the Model Context Protocol (MCP) - demonstrating technical depth and product thinking for AI PM roles.

🎯 Why This Approach?

As an AI Product Manager candidate, I built this to showcase:

Technical Understanding: Hands-on implementation of cutting-edge AI infrastructure (MCP)
Product Thinking: Interactive > static PDF, with analytics and evaluation metrics
AI/ML Expertise: Practical demonstration of my experience building AI-powered systems
User-Centric Design: Multiple deployment options for easy access by hiring managers

🔥 Key Features

📊 Interactive Querying

Ask natural language questions about my experience
Get specific details about AI/ML projects, revenue impact, and technical skills
Search by company, skill, or achievement

🤖 AI/ML Highlights

92% accuracy ML-powered underwriting model at Justworks
Champion of AI adoption with Claude Code/Cursor implementation
$29M+ in quantifiable revenue impact across roles

📈 Built-in Analytics

Track which sections get queried most
Response time metrics
Usage patterns to understand what interests viewers

✅ Evaluation Suite

13 pre-built test cases with expected outcomes
Performance metrics and scoring
Validates server accuracy and completeness

🚀 Quick Start (30 Seconds!)

Option 1: Docker (Recommended)

# Pull and run with one command docker run -p 8000:8000 rishiathanikar/resume-mcp # Or build locally docker build -t rishi-resume . docker run -p 8000:8000 rishi-resume

Option 2: Python

# Install dependencies pip install -r requirements.txt # Run the server python server.py

Option 3: Using UV (Fast Python package manager)

# Install uv if needed curl -LsSf https://astral.sh/uv/install.sh | sh # Run directly uv run server.py

💭 Sample Questions to Try

AI/ML Experience

"What AI models has Rishi built and deployed?"
"Tell me about the underwriting model at Justworks"
"How has Rishi championed AI adoption?"

Business Impact

"What's Rishi's track record for revenue generation?"
"Show me examples of cost savings Rishi has delivered"
"What operational efficiency improvements has Rishi made?"

Product Leadership

"What 0→1 products has Rishi launched?"
"Tell me about Rishi's experience with platform migrations"
"How many users have Rishi's products served?"

Domain Expertise

"What's Rishi's experience with regulated industries?"
"Tell me about Rishi's fintech and insurance experience"
"Has Rishi worked with compliance systems?"

📁 Project Structure

rishi-resume-mcp/ ├── server.py # Main MCP server with resume querying ├── resume_data.json # Structured resume data ├── resume.md # Markdown version for readability ├── evaluations.py # Test suite with 13 test cases ├── requirements.txt # Python dependencies ├── Dockerfile # Container configuration ├── demo/ │ ├── sample_questions.json # Categorized questions │ └── sample_questions.md # Questions in markdown └── config/ └── claude_desktop_config.json # Claude Desktop integration

🔧 Available Tools & Resources

Resources (Data Access)

resume://summary - Professional summary
resume://experience - Complete work history
resume://skills/{category} - Skills by category
resume://education - Educational background
resume://contact - Contact information

Tools (Interactive Queries)

search_experience(query) - Search work history
get_ai_ml_experience() - All AI/ML related work
get_metrics_and_impact() - Quantifiable achievements
search_by_skill(skill) - Find experiences by skill
get_company_details(company) - Detailed role information
calculate_total_experience() - Career progression analysis

Prompts (AI-Generated Responses)

why_great_fit_for_ai_pm() - Compelling fit analysis
interview_question(topic) - STAR format responses
compare_to_job_description(requirements) - Role matching
generate_cover_letter_points(company, role) - Tailored talking points

📊 Evaluation Metrics

Run the evaluation suite to see server performance:

python evaluations.py

Expected performance:

Pass Rate: >85% on all test cases
Response Time: <100ms average
Category Coverage: All resume sections queryable
Keyword Accuracy: >70% match rate

🌐 Deployment Options

For Sharing with Hiring Managers

Replit: One-click deployment with shareable link
Railway/Render: Always-on professional hosting
GitHub Codespaces: Run directly in browser
Local Docker: Simple container deployment

🎯 What Makes Me Unique for AI PM Roles

Hands-on AI/ML Experience: Built and deployed production ML models with measurable impact
Regulated Industry Expertise: 10+ years in fintech/insurance with compliance systems
Proven Scale: Products serving 300K+ MAU, $20M+ payment volume
Technical Depth: CS degree + hands-on coding with modern AI tools
Business Impact: $29M+ in revenue generation and optimization
Innovation Leader: 0→1 products, platform migrations, AI adoption champion

📬 Contact

Rishi Athanikar

LinkedIn: linkedin.com/in/rishiathanikar
Website: rishiathanikar.com

🔒 Privacy Note

This server contains publicly available resume information. No sensitive data is included.

Built with MCP (Model Context Protocol) - Demonstrating technical innovation for AI Product Management

This server cannot be installed

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security - not tested

F

license - not found

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quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Enables natural language querying of a resume with AI/ML experience, business impact metrics, and technical skills. Supports searching by company, skill, or achievement with built-in analytics and evaluation capabilities.

Rishi's Interactive Resume MCP Server