Oleg D.

Key Skills

Software

Other

Top Subject Matter

Machine learning pipelines and model training/inference for enterprise AI features.

Backend infrastructure for data-driven/AI-capable systems (no explicit labeling described).

Top Data Types

Text

Top Task Types

Fine-tuning

Freelancer Overview

Redi — Senior Software Engineer (AI Focus) responsible for training/deployment of ML models and integrating them into pr. Brings 10+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor’s Degree, Ukrainian National Forestry University (2022). AI-training focus includes data types such as Text and labeling workflows including Fine-tuning.

Labeling Experience

Redi — Senior Software Engineer (AI Focus) responsible for training/deployment of ML models and integrating them into production services.

TextFine-tuning

Worked on production deployment of end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment for AI-driven product features. Integrated trained ML models into backend services through REST APIs to support scalable inference in a real system environment. Applied architecture and performance improvements to enable reliable AI-powered decision-making and automated intelligent processing workflows. • Built and deployed Python-based AI solutions integrated into production systems. • Implemented end-to-end ML pipelines covering preprocessing, training, validation, and deployment. • Integrated ML models into backend services via REST APIs. • Supported internal data workflow automation and intelligent processing systems.

2020 - Present

Personal Pay — Software Engineer supporting scalable backend services and REST APIs for data-driven applications.

OtherTextFine-tuning

Contributed to the development of backend systems and services where machine learning may be supported through production-ready data and service implementations. Participated in full lifecycle engineering from requirements through production deployment, supporting the engineering foundation typically required for AI training and inference workflows. Focused on building scalable, secure backend components used in data-driven applications. • Designed and implemented backend services and REST APIs. • Contributed to database architecture and system scalability improvements. • Applied performance optimization and secure coding best practices. • Participated in full software development lifecycle from requirements to production deployment.

2017 - 2020

Education

Work History