Vitalii Duk


Scaling Machine Learning @ Careem – Vitalii Duk. Data Science UA Conference

Oct 28, 2019

Data Science UA ConferenceOctober 19KievData Science UA - 7th conference about machine learning, artificial intelligence and data science in Kiev.Vitalii Duk works at Careem — #1 ride-hailing app in MENA, Pakistan & Turkey, where he is leading company's effort to develop a unified Machine Learning platform that empowers the data-driven decisions made by a business, with such key features as AutoML and Time Series Forecasting. Prior to that Vitalii held senior positions in Machine Learning and Data Science at several AI startups in the Middle East and took worked as a Senior Data Scientist at OLX — world's leading classifieds platform. Vitalii holds a Masters Degree in Computer Science from Glyndwr University, UK.In this talk, we will find out how Careem is building a scalable and flexible Machine Learning platform that facilitates development and enables expeditious deployment of scalable ML models in a cost-efficient way.Topics that will be covered:
  • Examples of ML use-cases at Careem currently deployed on top of ML the platform.
  • Scaling different stages of ML project (dataset generation, model selection, training, tuning & testing, model evaluation, tracking & benchmarking, model serving, performance monitoring & integration).
  • Role of ML platform and AutoML in fostering, democratizing and accelerating the impact of ML across the organization.
 

Helping Companies Build Agentic GenAI Applications in Just Hours - Vitalii Duk, Dynamiq

Jan 10, 2025

In this episode of Building The Future Of, I'm speaking with Vitalii Duk, founder and CEO of Dynamiq.

Dynamiq helps enterprises build custom Gen-AI applications for workflow automation.It streamlines the entire development lifecycle, from prototyping and testing to LLM fine-tuning, deployment, and observability. Developers can use a wide array of pre-built integrations and no-code modules, reducing development time from months to just hours.

The company was founded in 2024.

Timestamps:

(00:00) The inspiration behind starting Dynamiq
(01:30) Overview of Dynamiq’s platform
(02:45) Examples of GenAI applications companies are building
(04:42) Selling to technical leaders using an open-source library
(07:43) How Dynamiq got started
(08:56) Lessons learned raising a pre-seed round and hiring from your network
(12:07) Selling to enterprises: content vs. cold outreach
(13:57) The vision for Dynamiq
(15:00) Templates for quicker onboarding and building a service partner network
 
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