
Vladislav Bakhteev
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Vladislav Bakhteev
- Bis heute 3 Jahre, seit Juni 2022
Product Engineer (ML)
Lengoo
I work in a product discovery team where I specialise in conducting customer interviews, pre-sales calls, and identifying opportunities for product improvement. Additionally, I do Machine Learning and Design prototypes. My achievements: - Communicated advantages of the product during pre-sales calls, resulting in contracts totaling €400,000. - Accelerated the testing of product hypotheses from 3 months to just 2 days by implementing an agile discovery process.
- 1 Jahr und 3 Monate, März 2021 - Mai 2022
Product Manager
Intropy
Launched a B2B AI product, securing a seed round. My achievements: - Managed a team of 3 developers and contributed individually to the Machine Learning part of the product. - Grew from 0 to 50 hypermarkets in Russia and UAE by leading product discovery and delivery. - Delivered 9 pilot projects and 4 contracts by managing coordination of my team, clients and hardware suppliers. - Cut operational costs by 50X and accelerated shop onboarding from 2 months to 3 weeks.
- 2 Jahre und 2 Monate, Feb. 2019 - März 2021
Product Owner
Tinkoff
Contributed to the growth (500% YoY) of Tinkoff Investments' mobile app by leading the development of the company page and optimizing the trading experience. My achievements: - Enhanced User Experience: successfully delivered a minimalistic and highly functional page for checking stock information and trading. - Increased the conversion rate for first-time investments by 35% through continuous improvements to UX and UI. - Increased turnover by 15% through the addition of stop-loss and take-profit tools.
- 3 Monate, Dez. 2018 - Feb. 2019
Machine Learning Engineer
Tinkoff
I had an internship in the Tinkoff speech team My achievements: - Improved Automated Speech Recognition by implementing Speaker Diarization with RNNs and spectral clusterization. - Improved the quality of intonation of Text To Speech system by implementing stress detection in words using LSTM.
Sprachen
Englisch
Fließend
Russisch
Muttersprache
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