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Leon Kovanah

Leon Kovanah

Poland flagWarsaw, Poland
ExpertAws SagemakerLabelboxLabel Studio

Key Skills

Software

AWS SageMakerAWS SageMaker
LabelboxLabelbox
Label StudioLabel Studio
Micro1
Google Cloud Vertex AIGoogle Cloud Vertex AI
Data Annotation TechData Annotation Tech
MindriftMindrift

Top Subject Matter

No subject matter listed

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Computer Programming/CodingComputer Programming/Coding
Evaluation/RatingEvaluation/Rating
Fine-tuningFine-tuning
Red TeamingRed Teaming
Text SummarizationText Summarization
RLHFRLHF

Freelancer Overview

If we are talking AI Training specifically, I have trained directly across multiple domains models, including data science, software engineering, product/UX, finance, operations, cloud infrastructure and commercial strategy under companies, including Orange, Jicho, XING, EPAM and more. I have built and contributed to ML/NLP and data systems such as customer complaint classification with AI integration, AWS-based NPS/sentiment analysis using Transcribe, Comprehend, Lambda, SQS and S3, recommendation and text-analysis algorithms, product search/eCommerce workflows, Adobe Commerce/Magento backend work and of course UX/product systems involving research, prototypes, design systems, as well as basic developer handoff. In AI evaluation, I have been reviewing outputs not only for wording, but for whether the reasoning would hold up in real projects and that for years now. For example, I am pretty confident in my ability to spot when a technical answer ignores implementation constraints, when a product answer misses the user journey, when a finance or operations answer makes weak assumptions, or when a business answer sounds plausible but would fail in execution. I’m strongest on tasks involving software, data science, cloud, UX/product, eCommerce, finance, operations, compliance, customer experience, and commercial analysis, where I can give precise feedback on accuracy, reasoning, feasibility, clarity, and usefulness.

ExpertEnglishGermanDutchJapanesePolish

Labeling Experience

Adobe Commerce Backend Development and Code Review at Imagination Media

Computer Code ProgrammingComputer Programming Coding
Worked on Adobe Commerce/Magento development projects involving backend implementation, maintenance, migration support, version upgrades, performance optimization, and server troubleshooting. The coding-evaluation-relevant part of the work involved reviewing implementation logic, identifying bugs and bottlenecks, improving code quality, and ensuring that backend changes met client and platform requirements.

Worked on Adobe Commerce/Magento development projects involving backend implementation, maintenance, migration support, version upgrades, performance optimization, and server troubleshooting. The coding-evaluation-relevant part of the work involved reviewing implementation logic, identifying bugs and bottlenecks, improving code quality, and ensuring that backend changes met client and platform requirements.

2025 - 2025

Real Estate Search UX and Result Relevance Evaluation at HomeStory

DocumentSegmentation
Worked on the redesign of a consumer real estate search product, including competitive analysis, user-focused design iteration, product research, and developer collaboration. The AI/data-evaluation-relevant component involved assessing how users search for real estate, how filters and result flows should behave, and how property information should be structured to support relevant and usable search experiences.

Worked on the redesign of a consumer real estate search product, including competitive analysis, user-focused design iteration, product research, and developer collaboration. The AI/data-evaluation-relevant component involved assessing how users search for real estate, how filters and result flows should behave, and how property information should be structured to support relevant and usable search experiences.

2025 - 2025

eCommerce Product Search and Catalog Relevance Evaluation at Cut+Dry

TextEvaluation Rating
Worked across product content, eCommerce workflows, manufacturer-facing services, search, reporting, and analytics for a foodservice technology platform. The AI/data-labeling-relevant part of the work involved structuring product and manufacturer information, improving how catalog data supported search and discovery, and evaluating whether product content and search flows matched user and business needs.

Worked across product content, eCommerce workflows, manufacturer-facing services, search, reporting, and analytics for a foodservice technology platform. The AI/data-labeling-relevant part of the work involved structuring product and manufacturer information, improving how catalog data supported search and discovery, and evaluating whether product content and search flows matched user and business needs.

2025 - 2025

Customer Complaint Classification and Labeling at Orange France

TextClassification
Worked on a machine learning use case for classifying and labeling customer complaints in a telecommunications environment. The project involved translating business questions into structured data science tasks, defining useful complaint categories, supporting ML model development, and helping industrialize the workflow through a Google Cloud Platform. The goal was to turn unstructured customer complaint text into labeled, analyzable data that could support reporting, routing, and business decision-making.

Worked on a machine learning use case for classifying and labeling customer complaints in a telecommunications environment. The project involved translating business questions into structured data science tasks, defining useful complaint categories, supporting ML model development, and helping industrialize the workflow through a Google Cloud Platform. The goal was to turn unstructured customer complaint text into labeled, analyzable data that could support reporting, routing, and business decision-making.

2025 - 2025

Career Content Recommendation and Relevance Evaluation at Brightmind Labs

TextEvaluation Rating
Contributed to the design and development of content and recommendation algorithms for a career knowledge-sharing platform. The work involved text analysis, data mining, NLP, and machine learning to improve how career training and mentoring content could be matched to user needs. The AI-training-relevant component involved evaluating content relevance, structuring text-based career information, and supporting recommendation logic.

Contributed to the design and development of content and recommendation algorithms for a career knowledge-sharing platform. The work involved text analysis, data mining, NLP, and machine learning to improve how career training and mentoring content could be matched to user needs. The AI-training-relevant component involved evaluating content relevance, structuring text-based career information, and supporting recommendation logic.

2024 - 2025

Education

I

IU International University Nuremberg

Bachelor, International Management

Bachelor
2021 - 2024

Work History

No Work History added yet

Leon K. hasn’t added any Work History to their OpenTrain profile yet.