Jan 2024 – Present · 2 yrs 4 mos · San Francisco Bay Area

• Dynamiq unifies GenAI Ops, LLMOps and Agent Orchestration so enterprises can transform ideas into production-grade agents in hours, not months. From drag-and-drop design to real-time observability, we eliminate the glue-code and guesswork that slow innovation.
• All-in-One Agentic Stack - no-/low-code builder, vector & RAG pipelines, multi-agent orchestration, evaluation, guardrails, and cost analytics in one UI.
• Enterprise-Grade - deploy on-premise, in your private VPC, or any major cloud. SOC 2-ready, SSO, audit trails and granular policy controls.
• Plug-and-Play LLMs - bring OpenAI, Anthropic, Mistral, or your fine-tuned models; swap in seconds.
• Observability & Guardrails - token-level tracing, drift alerts, safety filters, and continuous red-teaming built in.
• Rapid ROI - customers automate KYC, compliance monitoring, underwriting and call-center QA with >80 % cost-down and <4-week payback.

Oct 2022 – Dec 2023 · 1 yr 2 mos · San Francisco Bay Area

• 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.

Jan 2022 – Nov 2022 · 10 mos · Abu Dhabi Emirate, United Arab Emirates

• 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.

Dec 2020 – Feb 2022 · 1 yr 2 mos

• 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

Mar 2019 – Dec 2020 · 1 yr 9 mos

• 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.

Apr 2018 – Mar 2019 · 11 mos · Dubai, Dubai, United Arab Emirates

• 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.

Jan 2018 – Jan 2019 · 1 yr · Dubai, Dubai, United Arab Emirates

• 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.

Sep 2016 – Apr 2018 · 1 yr 7 mos · Dubai, United Arab Emirates

• 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.

Oct 2015 – Sep 2016 · 11 mos · Ukraine

• 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)

Oct 2014 – Oct 2015 · 1 yr · Ukraine

• 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

Jan 2011 – Oct 2013 · 2 yrs 9 mos · Ukraine

• As a part o engineering team worked on the following tasks:
• ISP network architecture.
• Internal and external network routing.
• Support and performance tuning of FreeBSD and Linux servers.
• Perl, Python, and PHP programming.
• CRM/Billing system development.