profile.example.yaml

# User Profile Configuration for Scientific Content Generation Agent
#
# This file defines your professional profile for personalized content generation.
# Copy this file to ~/.agentic-content-generation/profile.yaml and customize it.
#
# Quick Start:
#   1. Run: python main.py --init-profile
#   2. Edit: ~/.agentic-content-generation/profile.yaml
#   3. Validate: python main.py --validate-profile
#   4. Generate content: python main.py --topic "Your Topic"

# =============================================================================
# PROFESSIONAL IDENTITY
# =============================================================================

# Your full name (used for attribution and session tracking)
name: John Doe

# Your target professional role (what you want to be known for)
# Examples: AI Consultant, ML Engineer, Data Scientist, AI Architect,
#           Research Scientist, AI Product Manager, MLOps Engineer
target_role: AI Consultant

# Your areas of expertise (3-5 recommended)
# These will be emphasized in content generation
expertise_areas:
  - Machine Learning
  - Natural Language Processing
  - Computer Vision
  - MLOps
  - AI Strategy

# =============================================================================
# PROFESSIONAL GOALS
# =============================================================================

# What you want to achieve with your content
# Valid options: opportunities, credibility, visibility, thought-leadership, networking
content_goals:
  - opportunities      # Attract freelance/consulting/job opportunities
  - credibility        # Build professional credibility
  - visibility         # Increase visibility in the field

# =============================================================================
# GEOGRAPHIC & MARKET
# =============================================================================

# Your primary region (affects industry trends and SEO)
# Examples: Europe, US, Asia, Global, UK, Canada, Australia
region: Europe

# Languages you create content in
languages:
  - English
  - French

# Target industries for your content
target_industries:
  - Technology
  - Finance
  - Healthcare
  - Consulting
  - E-commerce

# =============================================================================
# PORTFOLIO & ONLINE PRESENCE
# =============================================================================

# Your GitHub username (not the full URL, just username)
# Example: octocat
github_username: johndoe

# Your LinkedIn profile URL (full URL)
# Example: https://www.linkedin.com/in/johndoe
linkedin_url: https://www.linkedin.com/in/johndoe

# Your personal portfolio/website URL (full URL)
# Example: https://johndoe.com
portfolio_url: https://johndoe.com

# Your Kaggle username (not the full URL, just username)
# Example: johndoe
kaggle_username: johndoe

# =============================================================================
# NOTABLE PROJECTS
# =============================================================================

# Key projects to mention in your content (3-5 recommended)
# These help demonstrate your expertise and provide portfolio links
notable_projects:
  - name: AI-Powered Recommendation Engine
    description: Built a scalable recommendation system serving 1M+ users
    technologies: PyTorch, FastAPI, Redis, Kubernetes
    url: https://github.com/johndoe/recommendation-engine

  - name: Medical Image Classification System
    description: Deep learning model for detecting pneumonia from X-rays (95% accuracy)
    technologies: TensorFlow, OpenCV, Docker, AWS SageMaker
    url: https://github.com/johndoe/medical-imaging

  - name: Real-Time Sentiment Analysis API
    description: Production NLP API processing 10k requests/day
    technologies: Transformers, Flask, PostgreSQL, Celery
    url: https://github.com/johndoe/sentiment-api

# =============================================================================
# TECHNICAL SKILLS & TOOLS
# =============================================================================

# Your primary technical skills (top 5-10)
# These will be used for SEO keywords and skills matching
primary_skills:
  - Python
  - PyTorch
  - TensorFlow
  - Scikit-learn
  - Transformers
  - FastAPI
  - Docker
  - Kubernetes
  - AWS
  - MLflow

# =============================================================================
# CONTENT PREFERENCES
# =============================================================================

# Tone for your content
# Valid options: professional-formal, professional-conversational, technical, casual
content_tone: professional-conversational

# Whether to use emojis in LinkedIn posts (true/false)
use_emojis: true

# Your target posting frequency
# Valid options: daily, 2-3x per week, weekly, biweekly, monthly
posting_frequency: 2-3x per week

# =============================================================================
# SEO & POSITIONING
# =============================================================================

# Your unique value proposition (1-2 sentences)
# What makes you different? What specific problem do you solve?
unique_value_proposition: I help companies bridge the gap between AI research and production by building scalable, reliable ML systems that deliver measurable business value.

# Key differentiators (3-5 bullet points)
# What sets you apart from other professionals in your field?
key_differentiators:
  - End-to-end ML pipeline design and implementation
  - 5+ years scaling ML systems in production
  - Strong focus on business ROI and practical impact
  - Research-backed approach with real-world pragmatism
  - Expert in both cloud-native and edge ML deployment