Vadim F.

I build reliable AI systems and automations from scratch, and redesign existing systems to cut costs and boost performance. From low-code integrations via n8n to self-contained microservices and complete SaaS products.

1. Cut image generation costs by 88%, saving the client $24K per month.

2. Reduced the operational cost of a RAG system by almost 50% while improving query latency by 20%.

I work with two types of clients:

🚀 Building from scratch: You have an idea for an AI-powered product or automation but need someone to architect and build it. I handle everything from system design through production deployment - whether it's a multi-agent workflow, RAG-based chat bot, image generation pipeline or a complete SaaS product.

🔧 Fixing what's broken: Your AI system works but costs too much, runs too slow, or produces inconsistent results. I audit the architecture, identify bottlenecks, and redesign for better performance at lower cost. I also implement monitoring and observability so you can track quality metrics, catch issues early, and make data-driven decisions.

🤖 AI automation and agents

➤ AI agents and multi-step workflows (LangChain, LlamaIndex, Pydantic AI)

➤ Low-code automation (n8n)

➤ Integrations (email, Slack, CRM, databases, etc.)

💬 Large Language Models

➤ OpenAI, Anthropic, Gemini, open-weights models

➤ RAG (Retrieval-Augmented Generation) systems

➤ Vector databases (Pinecone, Qdrant, pgvector, etc.)

➤ LLM fine-tuning and prompt engineering

➤ Model evaluation and quality monitoring

➤ Cost-optimized deployment

💡 Generative AI

➤ Image and video generation (Stable Diffusion, Flux, etc.)

➤ Model fine-tuning (DreamBooth, LoRA)

➤ Deployment of generative models for inference

👁 Computer Vision

➤ OCR (Optical Character Recognition), including handwritten text

➤ Object detection, classification and tracking

➤ Human Pose Estimation