Integrate Powerful AI Capabilities Into Your Applications
I help businesses implement secure, cost-effective AI solutions, from building private LLM infrastructure to integrating machine learning capabilities into existing applications. Whether you're looking to reduce AI costs, enhance data privacy, or add intelligent features to your product, I deliver measurable results.
AI Services I Offer
Private LLM Environments
Custom Ollama and open-source LLM setups on affordable GPU infrastructure, perfect for companies concerned about data privacy and API costs.
- Secure, self-hosted LLM infrastructure
- 30-70% reduction in AI API costs
- Complete data privacy and ownership
- Custom model selection and fine-tuning
AI Application Integration
Seamlessly integrate AI capabilities into your existing systems, using LangChain, HuggingFace, and custom Python frameworks.
- Natural language processing for customer interactions
- Document analysis and understanding
- Automated content generation and summarization
- Data extraction and structuring from unstructured content
ML Pipeline Development
End-to-end machine learning pipelines with proper data validation, model training, and deployment infrastructure.
- Scalable data processing with PySpark
- Automated training and evaluation workflows
- Model versioning and governance
- Performance monitoring and optimization
AI Security & Compliance
Implement secure AI systems that protect sensitive data and meet regulatory requirements.
- Privacy-preserving AI implementation
- Data encryption and secure processing
- Compliance with GDPR, HIPAA, and other regulations
- Security auditing and vulnerability testing
Featured AI Implementation
Private GPU-Powered LLM Infrastructure
Challenge
A financial services company was spending over $25,000 monthly on OpenAI API costs for their customer support automation and document analysis tools. They needed a more cost-effective solution that would maintain high performance while enhancing data privacy.
Solution
I designed and implemented a private LLM infrastructure using Ollama on managed GPU servers with a custom routing layer that intelligently dispatched requests to the appropriate models based on complexity and performance requirements.
- Deployed Llama 3 70B for complex analytical tasks
- Used Mistral 7B for routine customer inquiries
- Built a secure API gateway with proper authentication
- Created an automatic scaling system to optimize GPU usage
- Implemented fine-tuning pipeline for domain-specific knowledge
Results
The client reduced their monthly AI costs from $25,000 to approximately $7,500 while maintaining similar quality of responses and gaining complete control over their data and models.
AI Technologies I Work With
LLM & NLP Frameworks
Machine Learning
Computer Vision
AI Infrastructure
Frequently Asked Questions
How much can I save by using private LLM infrastructure instead of API providers?
Most clients see a 30-70% cost reduction when switching from commercial API providers to properly configured private LLM infrastructure. The exact savings depend on your usage volume, the specific models required, and how efficiently the infrastructure is designed. For high-volume applications, the savings can be substantial.
Will self-hosted models perform as well as commercial APIs?
Modern open-source models like Llama 3, Mistral, and others can provide 90-95% of the quality of commercial APIs for most applications. In some domain-specific cases, they can even outperform commercial options when properly fine-tuned for your specific needs. I'll help you select the right models and optimize them for your use case.
How long does it typically take to implement an AI integration project?
Implementation timelines vary based on complexity, but typically range from 2-12 weeks. A basic LLM integration might take 2-4 weeks, while a complex system with custom fine-tuning, multiple models, and specialized infrastructure might take 8-12 weeks. I'll provide a detailed timeline estimate during our initial consultation.
Do you offer ongoing maintenance for AI systems?
Yes, I offer maintenance packages for all AI systems I build. This includes monitoring performance, updating models as better ones become available, scaling infrastructure as needed, and making adjustments based on feedback and changing requirements. Maintenance can be arranged as a monthly retainer or on an as-needed basis.
Ready to Enhance Your Products with AI?
Let's discuss how I can help you implement AI solutions that deliver real business value.