Vladislav Bakhteev

Berufserfahrung von Vladislav Bakhteev

• Bis heute 2 Jahre und 1 Monat, 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.