50+
Projects
100%
Satisfaction
500+
Hours Saved
24h
Response
The Challenge
The media and publishing space is being transformed by AI, but most off-the-shelf solutions are too generic to handle your specific data, workflows, and requirements. You need custom AI built for your exact use case — not a one-size-fits-all platform that promises everything and delivers mediocrity.
What I Offer
I develop custom AI solutions for media and publishing — ai tools for content curation, automated article summarization, headline optimization, audience segmentation, and personalized content delivery at scale. Every solution is built from scratch using your data and tailored to your specific requirements.
From proof-of-concept to production deployment, I handle the full AI development lifecycle with a focus on accuracy, reliability, and measurable business impact.
Custom AI Models
Purpose-built for media and publishing, not adapted from generic templates.
Data Pipeline
Automated data collection, cleaning, and preparation for model training and inference.
API Deployment
Production-ready APIs that integrate with your existing systems and workflows.
Monitoring & Accuracy
Continuous monitoring of model performance with automated retraining when accuracy drifts.
Scalable Architecture
Built to handle your current volume and scale as your data and usage grow.
Full Documentation
Complete technical documentation so your team understands how the system works.
AI for Media and Publishing
AI tools for content curation, automated article summarization, headline optimization, audience segmentation, and personalized content delivery at scale. This is not science fiction — it is practical AI that businesses are deploying today to gain competitive advantage, reduce costs, and improve decision-making.
How It Works
I build custom AI solutions using a combination of large language models (GPT-4, Claude), machine learning frameworks (TensorFlow, scikit-learn), and data engineering tools. The specific approach depends on your use case — some problems are best solved with LLMs, others with traditional ML, and many with a hybrid approach.
From Prototype to Production
Many AI projects fail because they never make it from demo to production. I follow a structured process: validate the approach with a quick prototype, iterate based on real data, then build a production-grade system with monitoring, error handling, and scalability. Every project has clear go/no-go checkpoints so you never invest in something that is not working.
Integration with Your Systems
AI is only useful if it connects to your existing workflows. I deploy solutions as REST APIs that integrate with your CRM, ERP, website, mobile app, or internal tools. The AI works behind the scenes — your team uses the tools they already know.
Ready to explore AI for media and publishing? Contact me for a free consultation.
Why Choose Me
Domain + AI Expertise
I combine AI engineering skills with understanding of media and publishing to build solutions that solve real problems u2014 not just technically impressive demos.
Production-Grade
Every solution includes error handling, monitoring, logging, and failover. Built for reliability, not just accuracy on test data.
Measurable Impact
Clear success metrics defined before development begins. You know exactly what ROI to expect and how to measure it.
My Process
A proven approach from concept to delivery.
Discovery
Understand your data, use case, accuracy requirements, and integration needs.
Prototype
Build a proof-of-concept to validate the approach with your real data.
Production
Develop the full solution with APIs, monitoring, and integration.
Deploy & Monitor
Launch with monitoring, performance tracking, and ongoing optimization.
Technologies & Tools
Frequently Asked Questions
A proof-of-concept typically costs $3,000-$5,000. A full production system ranges from $8,000-$25,000+ depending on complexity, data requirements, and integration needs. I provide a detailed quote after our discovery call.
A prototype takes 2-4 weeks. A production system takes 6-12 weeks. Complex multi-model systems can take longer. I provide a milestone-based timeline upfront.
It depends on the approach. LLM-based solutions (using GPT-4 or Claude) can work with minimal data. Traditional ML models typically need hundreds to thousands of examples. I assess your data situation during discovery and recommend the best approach.
I take data privacy seriously. Solutions can be deployed on your own infrastructure for maximum control. When using cloud AI APIs, I implement data anonymization and comply with your privacy requirements (GDPR, HIPAA, etc.).
Related Services
Ready to Get Started?
Let's turn your idea into reality. Book a free consultation and get a detailed project proposal within 48 hours.