Diana Lytvynova

Worked on two key platforms: a baseball performance app and a bloodwork-based health platform. Built and maintained backend features using Python, AWS, MongoDB and Docker in fast-paced, cross-functional teams.

Baseball App

• Built backend features to support real-time performance tracking and analytics for both amateur and professional players.
• Developed and optimized APIs for data collection, player stats, and pitching metrics.
• Processed and visualized large volumes of athletic data.
• Integrated external data sources and fine-tuned performance of backend systems.
• Collaborated with frontend and analytics teams to ensure seamless delivery.
• Worked independently for a year, during which I not only strengthened my self-reliance but also contributed to measurable business growth.

Bloodwork Platform

• Developed backend features to generate personalized insights based on users' blood test results.
• Built internal tools to support non-technical team members.
• Worked with secure API design and data pipelines to handle sensitive health data.
• Followed CI/CD best practices to ensure continuous and stable delivery.
• Contributed to algorithm optimization for enhanced performance and accuracy.

• Contributed to the training pipeline for Kaia, an AI-powered conversation intelligence assistant for sales reps.
• Annotated and labeled meeting transcripts to identify speaker intent, sentiment, objections, action items, and conversational cues.
• Maintained consistency and quality by adhering to strict annotation guidelines and collaborating with linguists and project managers.
• Had to end my employment with the company due to a forced relocation to the United States as a result of the war in Ukraine.