VD

Vitalii Duk

Founder & CEO @ Dynamiq - LLMOps & LLM Agents for enterprises

San Francisco, California

Invests in

Stages:

  • Min Investment:

    $250,000.00
  • Max Investment:

    $750,000.00
  • Target Investment:

    $500,000.00

Education

Work Experience

2024

  • Founder & CEO

    2024

    At Dynamiq, we're all about making MLOps easy for Generative AI. Our platform is designed to help enterprises integrate and manage AI solutions without the usual hassle. We specialize in fine-tuning and deployment of LLMs, retrieval-augmented generation (RAG), guardrails, and observability tools. We are also providing on-premise options for our most security-conscious customers in financial services, health care, public sector.

2022 - 2023

  • VP of Engineering

    2022 - 2023

    Anecdote helps companies make better product decisions by listening to their customers. We structure the unstructured text & voice feedback and marry it with the user engagement data and business metrics.

2020 - 2023

  • Co-Founder & CTO

    2020 - 2023

    Founded in 2020, Bazaara is a peer-to-peer social marketplace platform for buying and selling thrift, secondhand and vintage clothing and accessories in the MENA region. Selling with Bazaara is simple: simply post a listing for sale by uploading images right from your mobile phone. Once you have made a sale, await the courier, and get paid. Discover new styles, trends and fashion by exploring thousands of one-of-a-kind preloved and vintage items and get inspired by the Bazaara community.

2022 - 2022

  • CTO, Venture Studio

    2022 - 2022

    Venture studio based in Abu Dhabi building FinTech, Digital Assets, and Logistics companies. We act as an institutional co-founder to our startups, investing both capital and dedicated resources across product, tech, design, marketing, legal, and other functional capabilities.

2019 - 2022

  • Sr. Engineering Manager, Machine Learning, Experimentation & Feature Store

    2020 - 2022

    - Leading Careem's Machine Learning platforms that power 50+ ML models in production - Development of the in-house Experimentation Platform enabling the organization to run A/B testing, multivariate testing, Multi-Armed Bandits, feature rollouts. - Feature Store development

  • Engineering Manager, Machine Learning & Data Science

    2019 - 2020

    Leading Careem's Machine Learning Platform team that focuses on building a highly scalable infrastructure to deploy and run ML models, development of the AutoML platform, and Time Series forecasting engine. Leading Data Science team focused on the location-related project.

2018 - 2019

  • Sr. Data Science Manager

    2018 - 2019

    Joined EMLC.ai as a Lead Data Scientist to build a strong Data Science team from scratch. Focused on solving productivity issues in big organizations and enterprises by applying cutting-edge Machine Learning techniques. Main responsibilities: - Building a strong cross-functional team of Data Scientists, Machine Learning engineers, and Research Scientists. - Overseeing all on-going Data Science projects from the proposal stage to the final production deployment. - Working with internal and external stakeholders across different levels in the organization. - Large-scale production-ready deployment of Machine Learning models and algorithms. Focusing on such projects as: - Fraud detection and risk assessment. - Process mining and process optimization. - Recommendation engines.

2018 - 2019

  • Co-Founder & CTO

    2018 - 2019

    Co-founded a fashion tech startup and took the role of a CTO, focusing on the following tasks: - development of the in-house built proprietary visual search technology using Deep Learning; - engineering the backend engine of the entire platform, comprised of several microservices in a multi-cloud setup; - defining product strategy and vision; - fundraising and business development.

2016 - 2018

  • Lead Data Scientist

    2016 - 2018

    Worked for dubizzle - #1 classifieds platform in UAE, which is part of OLX and Naspers Classifieds. Applying data-driven approaches for solving various business tasks, increasing company's revenue and improving the user's experience. Reporting directly to C-level management and strategy department. Focusing on such projects as: - Ad price optimization. - Image recognition and labeling. - Spam / fraud detection. - Price prediction and forecasting. - Developing recommendation engines tailored to classifieds. Main focus: Deep Learning, Natural Language Understanding.

2015 - 2016

  • Data Scientist

    2015 - 2016

    Worked as a member of the data science team to solve customer problems in different business domains. Participated in several ML projects: - Anomaly detection in time-series data for a big European 3G/4G hardware vendor. - Anomaly detection in time-series data from oil platforms for a US-based Oil&Gas company. - Advanced analytics for fast-growing US apparel company. - Workload prediction for a worldwide datacenter management company. Technology stack: - Python (scikit-learn, Pandas, StatsModels), R, Scala - Machine Learning (Regression analysis, Clustering, NLP, Classification, Time-Series Analysis) - Big Data (Hadoop, Spark)

2014 - 2015

  • Data Scientist

    2014 - 2015

    Worked on developing company's expertise in Data Science and Big Data Analytics. Participating in client engagement, project estimation, and delivery. - Machine Learning - Hadoop/Spark Ecosystem - Big Data Analytics