Yevgen`s official homepage
Yevgen Somochkin
"ΞΣΣΘ"
CTO ESSO.DEV
Building the Future of AI, Automation & Web3 | Full-stack & DevOps Architect | Scalable, Data-driven Web & Mobile Apps
Hamburg, Germany
Yevgen`s official homepage
Yevgen Somochkin
"ΞΣΣΘ"
CTO ESSO.DEV
Building the Future of AI, Automation & Web3 | Full-stack & DevOps Architect | Scalable, Data-driven Web & Mobile Apps
Hamburg, Germany
Mar 1, 2026
Feb 18, 2026
Feb 4, 2026
Feb 1, 2026
Transform your business with custom AI and machine learning solutions that automate complex tasks, extract insights from data, and create intelligent user experiences. We build production-ready AI systems that deliver measurable ROI — not just impressive demos that fall apart at scale.
Modern AI starts with large language models. We integrate GPT-4, Claude, Gemini, and open-source models into your existing systems — building intelligent assistants, content generators, and automated workflows that understand your business context. Off-the-shelf AI gives generic answers; we make it specific to your domain.
RAG (Retrieval-Augmented Generation) pipelines ground AI responses in your company's actual knowledge base. We design vector database architectures, embedding strategies, and retrieval optimization that make AI responses accurate and trustworthy — not hallucinated. Your documentation, product specs, and internal knowledge become the AI's source of truth.
Beyond simple prompt-response patterns, AI agents execute multi-step workflows autonomously. They use tools, make decisions, and handle complex tasks end-to-end. We build agents for code review, research automation, customer support triage, data processing, and domain-specific workflows — systems that actually work in production, not just in demos.
Every agent includes proper guardrails: output validation, fallback strategies, human-in-the-loop escalation, and cost monitoring. Autonomous doesn't mean uncontrolled.
When pre-trained models don't fit, we train custom solutions. Classification, prediction, anomaly detection, recommendation systems, and domain-specific NLP models — built on your data, optimized for your use case. We handle the full pipeline: data preparation, feature engineering, model training, evaluation, and deployment with monitoring.
The unsexy but critical work that makes AI reliable at scale. We build prompt management systems for version control and A/B testing, evaluation pipelines that measure quality systematically, monitoring dashboards that track performance and cost, and optimization strategies that reduce API spend without sacrificing output quality.
We start with business outcomes, not technology. The simplest architecture that solves the problem is the right one — sometimes that's a well-crafted prompt chain, sometimes it's a fine-tuned model with custom embeddings. We've built AI-powered SEO audit tools, LLM visibility tracking platforms, intelligent content generation systems, and automation pipelines processing thousands of requests daily.
Whether you need to add AI capabilities to an existing product, build an AI-native application from scratch, or optimize your current AI infrastructure — we bring hands-on experience with the full stack, from prompt engineering to production deployment.
