Details & Resources
AI & Machine Learning Development Services
I build production-ready AI systems that solve real business problems, not just demos that break in production.
With 10+ years of software engineering and 3+ years focused on AI/ML, I’ve shipped AI systems for enterprises like Anaqua (legal AI), Flowrite (email automation at 100K+ users), and multiple startups building intelligent products.
What Makes My AI Work Different
| What Most “AI Developers” Do | What I Do |
|---|---|
| Wrap OpenAI API in a Flask app | Build reliable, observable, cost-controlled AI systems |
| Demo-quality prompts | Production-grade prompt engineering with guardrails |
| Single-model dependency | Multi-LLM orchestration for reliability and cost |
| Hope it works | Structured outputs, validation, fallbacks, monitoring |
AI Service Categories
LLM & Foundation Models
Build applications powered by OpenAI GPT-4, Anthropic Claude, Google Gemini, and open-source models.
Services:
- OpenAI & GPT Integration: API integration, streaming, function calling
- Anthropic Claude Development: Long-context, tool use, enterprise Claude
- Google Gemini Development: Multimodal AI, Vertex AI
- LLM Fine-tuning: Custom model training for your domain
- Prompt Engineering: Reliable, consistent prompt design
- LLM Observability & Monitoring: Cost tracking, quality monitoring
Best for: Companies integrating LLMs into products, building AI-powered features, or modernizing with generative AI.
RAG & Knowledge Systems
Build systems that retrieve, reason, and respond using your proprietary data.
Services:
- RAG System Development: End-to-end retrieval-augmented generation
- Vector Databases (PGVector, Pinecone): Semantic storage and search
- Semantic Search Development: Beyond keyword matching
- Document AI Processing: Extract intelligence from documents
- LangChain Development: Build complex LLM pipelines
Best for: Companies with proprietary knowledge bases, document-heavy workflows, or enterprise search needs.
Case Study: Enterprise RAG for Legal Documents: 50% faster search, 85% retrieval accuracy for patent documents.
AI Agents & Automation
Build autonomous AI systems that plan, execute, and deliver results.
Services:
- AI Agent Development: Autonomous task execution
- AI Workflow Automation: End-to-end process automation
- AI Chatbot Development: Conversational AI that works
- AI Code Assistant Development: Developer productivity tools
- MCP (Model Context Protocol): Anthropic’s standard for AI tool use
Best for: Companies automating knowledge work, building AI-powered products, or replacing manual processes.
Case Study: Agentic AI Knowledge Systems: Multi-agent systems for complex research tasks.
AI Strategy & Consulting
Strategic guidance for AI adoption and implementation.
Services:
- AI Strategy Consulting: Roadmapping, use case identification
- Fractional CTO (AI Focus): Technical leadership for AI initiatives
Best for: Executives evaluating AI opportunities, teams starting AI transformation, or companies needing technical leadership.
Why Work With Me for AI Development
Production Experience, Not Just Tutorials
I’ve built AI systems that run in production at scale:
- Anaqua (RightHub): AI backend serving 10K+ daily queries for enterprise IP management
- Flowrite: LLM email assistant scaled from 10K to 100K+ users
- Sparrow Intelligence: Agentic AI systems for knowledge management
Engineering-First Approach
AI is software. I bring 10+ years of backend engineering discipline:
- Proper error handling and fallbacks
- Cost monitoring and optimization
- Observability and debugging
- Security and compliance
- CI/CD and deployment automation
Multi-Model Expertise
I work across the LLM landscape:
- OpenAI: GPT-4, GPT-4o, function calling, assistants API
- Anthropic: Claude 3.5, tool use, long context
- Google: Gemini, Vertex AI
- Open Source: Llama, Mistral, local deployment
Engagement Options
| Model | Best For | Starting At |
|---|---|---|
| MVP Project | Validate AI product idea | $3,499 |
| Prepaid Hours | Flexible AI development | $45/hr effective |
| Retainer | Ongoing AI development | $6,499/month |
| Fractional CTO | AI strategy + execution | Custom |
Frequently Asked Questions
How much does AI development cost?
AI development costs $100-180/hour for senior expertise. Simple LLM integrations start at $15,000-30,000. Production RAG systems range from $50,000-150,000. AI agent systems can exceed $150,000. The variance depends on reliability requirements, data complexity, and integration scope.
How long does it take to build an AI system?
Timeline depends on complexity: Simple LLM integration: 4-6 weeks. Production RAG system: 8-12 weeks. Multi-agent systems: 3-6 months. Most time goes to reliability engineering, not initial demos.
Can you work with my existing team?
Yes. I integrate with engineering teams as a senior AI specialist. I handle architecture, implementation, and knowledge transfer. Many clients start with me building the foundation, then transition to their team for ongoing development.
Do you work with sensitive/regulated data?
Yes. I’ve built AI systems for legal (Anaqua/patent documents) and healthcare domains. I implement appropriate security controls, data handling, and compliance requirements.
Ready to Build AI That Works?
Not just demos, production systems that deliver business value.
Schedule a Discovery Call → | Send Email →
Related
Case Studies:
- Enterprise RAG for Legal Documents
- Multi-LLM Orchestration & Cost Control
- Agentic AI Knowledge Systems
- LLM Email Assistant at Scale
Experience:
Related Services:
Ready to Get Started?
I typically respond within 24 hours