Eugene Nitsenko
Chief Technology Officer at UZO
Dubai, Dubai, United Arab Emirates
Summary
👤
Senior🎓
Top SchoolEugene Nitsenko is a pragmatic CTO and e-commerce engineering leader with a decade of hands-on experience building and scaling multi-market fashion platforms across Europe and the Middle East. He combines deep backend expertise—databases, search, and performance tuning—with product-minded architecture decisions, favoring clean modular monoliths over needless microservices for commerce systems. Eugene is a top-10 contributor to the popular Vendure open-source e-commerce framework, where his work on Elasticsearch indexing and query optimizations materially improved multi-national marketplace performance. He grew Goodbit from a two-person startup to a 20-engineer delivery powerhouse and has a flawless Upwork record of long-term, five-star engagements. Based in Dubai, he currently leads UZO’s technology strategy and delivery, owning architecture, roadmap, and engineering execution end-to-end. Not obvious from titles alone: his strength is solving operational e-commerce puzzles—inventory sync, marketplace integrations, and zero-downtime platform migrations—so revenue never misses a beat.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Immanuel Kant Baltic Federal University
Русский, Английский
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
amazon-elasticsearch10
typescript10
nestjs10
elasticsearchquery10
aws-elasticsearch10
typescript-types10
performance-tuning10
elasticsearch10
nodejs10
typescripts10
database-optimization10
elasticsearch-api10
postgresql9
api9
graphql8
Programming languages (5)
Github contributions (5)
vendure-ecommerce/vendure
Dec 2022 - Dec 2024
The commerce platform with customization in its DNA.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 reviews, 16 PRs, 83 comments in 2 years
Contributions summary:Eugene primarily contributed to the Vendure e-commerce platform by optimizing Elasticsearch indexing and database queries. They introduced new variables to control memory consumption during reindexing, enhancing performance. Furthermore, they refactored methods related to channels and collections for improved database access efficiency. These changes indicate a focus on database performance and overall system optimization within the e-commerce backend.
apiecommercejavascriptframeworkshopping-cart
monrostar/vendure
Jul 2023 - Jan 2025
A headless GraphQL ecommerce framework for the modern web
Contributions:100 pushes, 19 branches in 1 year 5 months
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