Dmitry Laneev
Senior Python Software Developer at Wand- Claim this Profile
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Russian Native or bilingual proficiency
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Ukrainian Native or bilingual proficiency
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English Professional working proficiency
Topline Score
Bio
Credentials
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python 3.4
BrainbenchFeb, 2019- Nov, 2024
Experience
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Wand
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United States
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Software Development
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1 - 100 Employee
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Senior Python Software Developer
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Feb 2023 - Present
At Wand, we understand that our future is going to be driven by AI. We look at the status of the use of AI - the high failure rate, the long time to create value, the huge number of resources required, the frustration, and we decided that we must lead to a change. We want to create a place where people, business, data, and AI connect, and to give the power in AI creation for everyone. Enabling this is our mission. Our product, the Wand platform, enables business users and data analysts to solve real-world business problems easily and quickly - all code-less, self-serviced. Show less
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SoftServe
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United States
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IT Services and IT Consulting
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700 & Above Employee
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Python Software Developer
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Aug 2018 - Feb 2023
Creating a business product for analytics, statistical and marketing analysis from the very start • Implemented new functionality according to customer needs. • Fixing existing bugs and adding new features. • Working with micro service architecture. Creating a business product for analytics, statistical and marketing analysis from the very start • Implemented new functionality according to customer needs. • Fixing existing bugs and adding new features. • Working with micro service architecture.
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NanoTech42 ltd
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Ukraine
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IT Services and IT Consulting
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1 - 100 Employee
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Software Developer
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Sep 2016 - Aug 2018
Authentication and privileges infrastructure on project. Developing different microservices and modules (Front-end and Back-end) Using a lot of different Python frameworks (e.g. Flask, Falcon, Celery) Interaction with the knowledge base: module automatic import export of articles and collections (docx, pdf, txt), automatic knowledge base parser from the web, json, csv sources Automatic text processing module; syntactic, lexical analysis (autocorrection, text normalization, filters for obscene lexicon, fence, caps, sentimental analysis with the neural network (tensorflow) and classifier trees (sklearn) aggregation and automatic analysis by these characteristics. Show less
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