My Proven AI Development Framework
Transforming ideas into production-grade AI systems through a battle-tested methodology that delivers results in weeks, not months.
Discovery & Architecture Design
Deep dive into your domain. I analyze your data, map user workflows, and architect the optimal AI solution—whether it's RAG, fine-tuned models, or multi-agent systems.
- Data pipeline design & vector DB selection
- Model selection (GPT-4, Claude, Llama 3, Mistral)
- Latency & cost optimization strategy
- Scalability roadmap
Rapid Prototyping & Prompt Engineering
See your AI in action within days. I build functional prototypes using advanced prompt engineering, few-shot learning, and chain-of-thought reasoning.
- Prompt versioning & A/B testing
- Embedding model evaluation
- Initial RAG pipeline construction
- User feedback integration loops
Model Fine-tuning & Optimization
Make it yours. Fine-tune open-source models on your proprietary data. Implement RLHF, LoRA adapters, and custom tokenization for maximum performance.
- Dataset curation & augmentation
- LoRA/QLoRA fine-tuning
- Evaluation against industry benchmarks
- Cost reduction through model distillation
Production Deployment & MLOps
Deploy with confidence. Containerize with Docker, orchestrate with Kubernetes, and implement comprehensive monitoring for LLM-specific metrics.
- CI/CD pipelines for models & prompts
- GPU optimization & auto-scaling
- Real-time monitoring & drift detection
- Safety guardrails & content filtering
Typical Project Timeline
Week 1-2
Discovery & Architecture
Technical Spec DocumentWeek 3-4
Prototype & Testing
Working MVPWeek 5-6
Fine-tuning & Optimization
Custom ModelWeek 7-8
Deployment & Monitoring
Production System