Vladyslav – Python, OpenAI, LangChain

Working on product UX, AI enablement, and AI models integration for the company that provides a web and mobile work management platform for teams to organize, track, and manage projects and tasks collaboratively.

• Built AI Smart Time recommendations for the company’s time-tracking functionality.
• Introduced and developed an AI onboarding program for new hires.
• Led an AI enablement workstream to expand Cursor usage across the company and reached more than 70% engineer coverage within 3 months.
• Initiated the Multi-Sandbox Agent environment project as part of the company’s AI developer tooling initiative.
• Integrated AI models into product surfaces to enable intelligent, data-driven user experiences.

Working on Agentic AI for the real-time news intelligence platform that provides structured news data via APIs and AI-powered monitoring.

• Implemented REST APIs to support scalable search over billions of documents.
• Built a scalable, distributed news article clusterization solution.
• Led the development of ML pipeline analysis.
• Trained a set of custom fine-tuned LLMs for event detection, category and topic tagging, and aspect-based sentiment analysis.
• Implemented Research Agent: vector store, embeddings, RAG pipeline, ingestion, model experimentation, e2e evals.

Working on integration testing tooling at a global financial company that provides real-time market data, news, analytics, and trading tools to professionals and institutions.

• Built component integration testing tools.
• Increased programmer productivity by adding CI/CD for component testing.

News searching API.

• Developed a scalable, distributed website scraper to extract news from thousands of news sources.
• Built an API and client libraries to provide easy access to news data.
• Developed a Redis-based rate limiting solution, authentication, and payments.
• Deployed the system to AWS.

Working on privacy back-end APIs for an online privacy company that offers tools to help consumers control, mask, and remove their personal data from the web.

• Built back-end APIs to power millions of users of a data removal platform.
• Developed standalone services within a service-oriented architecture, including a scheduler, reports generation service, and improvements to authentication and core payments services.
• Built a diverse set of automation workflows for the removal of personal data from data brokers.
• Led an initiative to improve and optimize query performance across a set of user surfaces.