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Vlad Z. Cloud, AI and Big Data Platforms

My name is Vlad Z. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Performance Optimization, Databricks MLflow, Python, Data Science, ETL Pipeline, etc.. I hold a degree in Master of Science (MS), Master of Science (MS). Some of the notable projects I've worked on include: AI Forecasting That Saved $142M for Global Retailer, Data-driven marketing, ETL Solution - Operating Supplement, Supply chain dashboard, Stock relocation solution, etc.. I am based in Kiev, Ukraine. I've successfully completed 14 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • Cloud, AI and Big Data Platforms

    10 years

  • Performance Optimization

    9 Years

  • Databricks MLflow

    3 Years

  • Python

    8 Years

Additional skills

  • Performance Optimization
  • Databricks MLflow
  • Python
  • Data Science
  • ETL Pipeline
  • DevOps
  • Big Data
  • Data Lake
  • Data Warehousing
  • Machine Learning
  • Data Warehousing & ETL Software
  • Artificial Intelligence
  • Cloud Architecture
  • Generative AI
  • Infrastructure Management

Direct hire

Potentially possible

Previous Company

DATAFOREST

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Experience Highlights

AI Forecasting That Saved $142M for Global Retailer

Considering each outlet's specifics, I built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. I set up a system that

Data-driven marketing

I created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according

ETL Solution - Operating Supplement

I developed an ETL solution for a manufacturing company that combined all required data sources and made it possible to analyze information and identify bottlenecks of the process. Project KPIs: - 30+

Supply chain dashboard

The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. I developed a system that unifies relevant data fr

Stock relocation solution

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical

Education

  • Kyiv National University of Trade and Economics

    Master of Science (MS) in Finance

    2013-01-01-2015-01-01

  • Taras Shevchenko National University of Kyiv

    Master of Science (MS) in Mathematics and Statisctics

    2008-01-01-2013-01-01

Languages

  • English (Fluent)
  • Russian (Native or Bilingual)
  • Ukrainian (Native or Bilingual)