Dmytro Korchevnyi-Senior AI/ML Engineer
Check rate
Experience
Senior AI/ML Engineer
ReversingLabs
- Lead the design and deployment of AI-driven solutions, focusing on scalable machine learning models for real-time analytics and automation.
- Developed and optimized deep learning models (CNNs, Transformers, LLMs) using PyTorch and TensorFlow, improving accuracy and efficiency across multiple projects.
- Built end-to-end ML pipelines—from data ingestion and feature engineering to model training, validation, deployment, and monitoring.
- Designed and deployed microservices for AI inference using FastAPI, Docker, and AWS/GCP, ensuring scalability and low latency.
- Applied MLOps practices such as automated retraining, model versioning, and CI/CD pipelines using MLflow, Airflow, and Kubernetes.
- Mentored junior data scientists and ML engineers, conducted code reviews, and helped establish best practices for reproducible and maintainable AI development.
- Collaborated with product and data engineering teams to integrate AI capabilities into existing systems, delivering measurable business impact.
- Researched and implemented advanced AI techniques (LLMs, generative models, and vector databases) to drive innovation and improve system intelligence.
- Spearheaded the deployment of an NLP-based automation model that reduced manual processing time by 40% and improved response accuracy by 30%.
- Designed a scalable inference architecture that cut model latency by 45%, enabling real-time decision-making in production environments.
- Implemented MLOps automation that reduced deployment time by 60% and improved model reproducibility.
- Led a cross-functional AI initiative that delivered a 15% increase in operational efficiency, recognized by senior leadership.
Data Scientist
ReversingLabs
- Supported data science initiatives focused on cybersecurity analytics, working with large-scale malware and threat intelligence datasets.
- Performed data cleaning, transformation, and feature engineering using Python, Pandas, and SQL to prepare structured datasets for model training.
- Assisted senior data scientists in developing machine learning models for anomaly detection, threat classification, and predictive analysis.
- Conducted exploratory data analysis (EDA) to uncover trends and improve model accuracy through better feature selection.
- Contributed to model evaluation and testing, using metrics like precision, recall, F1-score, and ROC-AUC.
- Created visualizations and reports in Matplotlib and Seaborn to communicate insights and findings to the analytics and engineering teams.
- Collaborated in cross-functional meetings to bridge the gap between data insights and real-world cybersecurity product enhancements.
- Helped improve malware detection accuracy by 18% through optimized data preprocessing and feature engineering techniques.
- Built internal tools to automate dataset validation, reducing manual data preparation time by 25%.
- Gained hands-on experience in AI and machine learning workflows, contributing to applied research on predictive threat modeling.
Junior Data Scientist
MindTitan
- Assisted in data collection, cleaning, and preprocessing from multiple sources to ensure high-quality datasets for analytics and modeling.
- Conducted exploratory data analysis (EDA) to identify trends, patterns, and anomalies, supporting decision-making for business teams.
- Developed predictive models using Python and scikit-learn for customer behavior.
- Built data visualizations and dashboards using Matplotlib, Seaborn, and Tableau to communicate insights to stakeholders.
- Collaborated with senior data scientists and engineers to support model deployment and data pipeline optimization.
- Documented workflows and analysis to ensure reproducibility and maintain best practices in data handling.
- Improved data preprocessing efficiency by 20% by implementing automated scripts.
- Contributed to a predictive model that increased forecast accuracy by 15%, assisting the business in better planning.
- Participated in cross-functional projects involving AI and NLP, gaining exposure to real-world machine learning applications.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology and Professional Services.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Information Technology, Business Intelligence, and Product Development.
Summary
Data Scientist & AI Engineer with 6+ years of experience in developing and deploying machine learning and deep learning solutions. Strong expertise in Python, TensorFlow, PyTorch, and MLOps, with a proven record of building scalable AI systems for NLP, computer vision, and predictive analytics. Combines data-driven insight with engineering precision to deliver impactful, production-ready AI solutions that drive business value and innovation.
Skills
- Python
- R
- Sql
- Pandas
- Numpy
- Scikit-Learn
- Tensorflow
- Pytorch
- Keras
- Hugging Face Transformers
- Opencv
- Spacy
- Langchain
- Nltk
- Matplotlib
- Seaborn
- Plotly
- Fastapi
- Flask
- Docker
- Kubernetes
- Mlflow
- Airflow
- Aws
- Gcp
- Deep Learning
- Nlp
- Computer Vision
- Mlops
Languages
Education
Bohdan Khmelnytsky University
Bachelor’s Degree in Computer Science · Computer Science · Ukraine
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Dmytro is based in Pärnu, Estonia.
Dmytro speaks the following languages: English (Intermediate), Ukrainian (Intermediate), Estonian (Elementary).
Dmytro has at least 5 years of experience. During this time, Dmytro has worked in at least 3 different roles and for 2 different companies. The average length of individual experience is 2 years and 9 months. Note that Dmytro may not have shared all experience and actually has more experience.
Based on recent experience, Dmytro would be well-suited for roles such as: Senior AI/ML Engineer, Data Scientist, Junior Data Scientist.
Dmytro's most recent position is Senior AI/ML Engineer at ReversingLabs.
In recent years, Dmytro has worked for ReversingLabs.
Dmytro is most experienced in industries like Information Technology and Professional Services.
Dmytro is most experienced in business areas like Research and Development, Information Technology, and Business Intelligence. Dmytro also has some experience in Product Development.
Dmytro holds a Bachelor in Computer Science from Bohdan Khmelnytsky University.
The availability of Dmytro needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 26 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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