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Denis Semenov

@denissemenov

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I build production agentic AI platforms, RAG systems, and LLM workflows that deliver measurable business outcomes.

Spain

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What I'm looking for

I'm looking to build production AI products where agentic workflows, RAG, reliable evaluations, and scalable engineering create measurable user and business impact.

At ManifestOS, I built core AI functions from zero to one for an AI-native law firm. I architected an AI Document Platform processing 30k+ documents monthly with 99.9% accuracy on a golden dataset, while keeping Gemini Pro inference costs below $0.02 per page.

I build agentic AI platforms that combine RAG, multi-agent orchestration, structured extraction, intelligent search, evaluations, and quality controls. My work reduced legal form-processing from weeks to one day and cut customer data-entry time by 30%.

Previously, I led AI engineers at Bergmann Infotech and delivered RAG applications on AWS, then led NLP and recommendation work at Yandex Eats. I bring 7+ years across LLMs, production ML, data pipelines, experimentation, and scalable cloud systems.

Experience

Work history, roles, and key accomplishments

Current

Senior Agentic AI Engineer

Current

ManifestOS

Sep 2025 - Present (1 year)

Built core AI functions from zero to one as the company's second AI hire at the world's first AI-native law firm. Architected and deployed an AI Document Platform processing 30k+ documents/month, achieving 99.9% accuracy using Gemini pro models at a cost of less than $0.02 per page.

Gemini RAG Multi Agent Systems GCP Agentic AI Document Processing Structured Extraction Intelligent Search AI Platform Architecture

Senior AI Engineer

Bergmann Infotech GmbH

Apr 2024 - Sep 2025 (1 year 5 months)

Led a team of two AI engineers, ensuring coordination and project completion within set deadlines. Delivered end-to-end RAG-powered agentic AI applications using LangChain, LangGraph, and CrewAI, achieving 99.8% accuracy in information retrieval on 10,000+ documents per client.

Lang Chain LangGraph Crew AI RAG AWS Multi Agent Systems React 3D Generation Prompt Engineering Fine Tuning Vector Databases Async Processing Vision

Machine Learning Engineer

Yandex Eats

Nov 2022 - Apr 2024 (1 year 5 months)

Led a dish NLP stream from data gathering and training to deployment, team coordination, and A/B experiments. Enhanced a restaurant dish recommendation model by transferring it to a separate microservice, adding new features, and implementing regular training.