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I am a Machine Learning Engineer with 4+ years of experience designing, building, and deploying large-scale ML systems with a strong focus on NLP, LLMs, and AI-powered chatbots. I have hands-on expertise in training and fine-tuning transformer models (PyTorch, TensorFlow, Hugging Face), building MLOps pipelines with Docker, Kubernetes, and Airflow, and deploying models on cloud platforms (GCP, Azure). I thrive in cross-functional collaboration, translating business goals into measurable ML outcomes and continuously improving systems through monitoring and A/B testing.…I am a Machine Learning Engineer with 4+ years of experience designing, building, and deploying large-scale ML systems with a strong focus on NLP, LLMs, and AI-powered chatbots. I have hands-on expertise in training and fine-tuning transformer models (PyTorch, TensorFlow, Hugging Face), building MLOps pipelines with Docker, Kubernetes, and Airflow, and deploying models on cloud platforms (GCP, Azure). I thrive in cross-functional collaboration, translating business goals into measurable ML outcomes and continuously improving systems through monitoring and A/B testing.

Dmitrii Drogovoz

Data Scientist, AI Engineer, Front-End Developer

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I am a Machine Learning Engineer with 4+ years of experience designing, building, and deploying large-scale ML systems with a strong focus on NLP, LLMs, and AI-powered chatbots. I have hands-on expertise in training and fine-tuning transformer models (PyTorch, TensorFlow, Hugging Face), building MLOps pipelines with Docker, Kubernetes, and Airflow, and deploying models on cloud platforms (GCP, Azure). I thrive in cross-functional collaboration, translating business goals into measurable ML outcomes and continuously improving systems through monitoring and A/B testing.…I am a Machine Learning Engineer with 4+ years of experience designing, building, and deploying large-scale ML systems with a strong focus on NLP, LLMs, and AI-powered chatbots. I have hands-on expertise in training and fine-tuning transformer models (PyTorch, TensorFlow, Hugging Face), building MLOps pipelines with Docker, Kubernetes, and Airflow, and deploying models on cloud platforms (GCP, Azure). I thrive in cross-functional collaboration, translating business goals into measurable ML outcomes and continuously improving systems through monitoring and A/B testing.

Available to hire

I am a Machine Learning Engineer with 4+ years of experience designing, building, and deploying large-scale ML systems with a strong focus on NLP, LLMs, and AI-powered chatbots.

I have hands-on expertise in training and fine-tuning transformer models (PyTorch, TensorFlow, Hugging Face), building MLOps pipelines with Docker, Kubernetes, and Airflow, and deploying models on cloud platforms (GCP, Azure). I thrive in cross-functional collaboration, translating business goals into measurable ML outcomes and continuously improving systems through monitoring and A/B testing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Russian

Fluent

Work Experience

Machine Learning Engineer at Akvelon

December 1, 2021 - November 12, 2025

IT consulting ML engineer on Google client projects; designed and deployed large-scale ML systems, led R&D in NLP and computer vision, built end-to-end ML pipelines, implemented ETL/data workflows, and integrated ML services into microservice architectures for real-time inference. Led testing, optimization of SQL queries, and automated ML workflows using CI/CD tools.

Data Scientist at Mind Set-Osago

December 1, 2021 - December 1, 2021

Data Scientist with Azure Fundamentals and Google Cloud Platform (GCP) ML/Data Engineer tracks; contributed to ML model development, data pipelines, and feature engineering for enterprise projects, including NLP/CV applications; collaborated on cloud-based ML workflows.

ML Engineer at Akvelon

December 1, 2021 - November 12, 2025

Lead R&D of AI solutions across NLP and computer vision; designed and deployed ML services into microservice architecture; built robust ML pipelines and real-time inference endpoints; collaborated with backend engineers and clients to define business objectives and key results; implemented MLOps practices, A/B testing, and monitoring to ensure production reliability and scalability.