I’m an Applied AI Engineer focused on building end-to-end, production-ready AI systems — from raw data and documents to deployed models and decision-support tools. I design and implement data pipelines, machine learning models, and AI agents that work with real-world constraints: noisy data, incomplete documentation, compliance rules, and human-in-the-loop workflows. My recent work includes document intelligence systems using transformers, RAG-based knowledge agents, Spark-based data pipelines, and ML workflows designed for reliability and traceability rather than demos. I have a background in large-scale construction projects, which strongly influences how I build AI: clear logic, auditable outputs, and systems that must hold up under regulatory and operational scrutiny. I’m comfortable owning projects end-to-end — scoping, implementation, documentation, and handover.

Dmitrii Krotov

PRO

I’m an Applied AI Engineer focused on building end-to-end, production-ready AI systems — from raw data and documents to deployed models and decision-support tools. I design and implement data pipelines, machine learning models, and AI agents that work with real-world constraints: noisy data, incomplete documentation, compliance rules, and human-in-the-loop workflows. My recent work includes document intelligence systems using transformers, RAG-based knowledge agents, Spark-based data pipelines, and ML workflows designed for reliability and traceability rather than demos. I have a background in large-scale construction projects, which strongly influences how I build AI: clear logic, auditable outputs, and systems that must hold up under regulatory and operational scrutiny. I’m comfortable owning projects end-to-end — scoping, implementation, documentation, and handover.

Next availability:
February 2, 2026

I’m an Applied AI Engineer focused on building end-to-end, production-ready AI systems — from raw data and documents to deployed models and decision-support tools.

I design and implement data pipelines, machine learning models, and AI agents that work with real-world constraints: noisy data, incomplete documentation, compliance rules, and human-in-the-loop workflows. My recent work includes document intelligence systems using transformers, RAG-based knowledge agents, Spark-based data pipelines, and ML workflows designed for reliability and traceability rather than demos.

I have a background in large-scale construction projects, which strongly influences how I build AI: clear logic, auditable outputs, and systems that must hold up under regulatory and operational scrutiny.

I’m comfortable owning projects end-to-end — scoping, implementation, documentation, and handover.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Russian
Fluent
English
Advanced
French
Beginner
German
Beginner

Work Experience

Construction Manager / Project Coordinator — Nuclear Island (Unit 2) at TİTAN2 IC İÇTAŞ İNŞAAT A.Ş. (EPCM), Turkey
January 1, 2020 - July 1, 2025
Coordinated civil and mechanical construction activities within the Auxiliary Reactor Building of a multi-unit nuclear power plant. Acted as an interface between construction teams, engineering/design offices, and client supervision in a highly regulated EPCM environment. Monitored schedules, participated in planning adjustments, and ensured compliance with nuclear safety, quality, and regulatory requirements.
Construction Project Manager — Industrial Facility Reconstruction at British American Tobacco (via Adecco), Russia
August 1, 2017 - January 1, 2019
Managed end-to-end project planning, cost estimation, and execution in an active production environment. Achieved $400K cost reduction through optimized technical and safety solutions. Worked closely with multidisciplinary teams under strict operational constraints.
Construction Supervision Engineer — Construction of a Convention & Exhibition Center at ExpoForum International, Russia
March 1, 2013 - July 1, 2017
Oversaw construction quality, schedules, and risk mitigation for a 100,000m² complex facility. Applied analytical modeling to assess operational and safety risks.
Applied Data Scientist / AI Engineer (Portfolio & Kaggle Projects) at Independent / Self-Directed Projects
October 1, 2025 - Present
- Building applied ML, Deep Learning, and Generative AI projects (Spark, PyTorch, LangChain). - Developing end-to-end pipelines: data prep → modeling → evaluation → deployment. - Participating in Kaggle competitions to solve real-world predictive tasks.
Deputy Project Manager at EC Harris/Arcadis NV
June 2, 2010 - August 30, 2012
Tenant Coordination for 130,000 m2 Retail Center Project - Coordinated tenant improvement projects, from pre-construction to close-out, under the guidance of the Project Manager. - Served as the main point of contact for tenants, contractors, and stakeholders, ensuring seamless communication and resolution of any issues. - Conducted reviews of construction drawings and specifications to ensure compliance with building codes, lease agreements, and regulations.

Education

Master's degree in World Economy at St. Petersburg State University
September 8, 2013 - June 23, 2015
Master's degree in Industrial & Civil Engineering at Arkhangelsk State Technical University
September 2, 1996 - June 25, 2001

Qualifications

Generative AI Engineering, IBM
July 11, 2025 - December 16, 2025
Professional Certificate
Deep Learning, IBM
January 6, 2025 - August 22, 2025
Professional Certificate
Data Engineering, IBM
September 11, 2024 - March 24, 2025
Professional Certificate
Data Science, HarvardX
September 12, 2023 - August 23, 2024
Professional Certificate
Computer Science for Artificial Intelligence, HarvardX
September 12, 2023 - October 23, 2024
Professional Certificate

Industry Experience

Software & Internet, Professional Services, Manufacturing, Real Estate & Construction, Computers & Electronics