Andrii – React Native, Typescript, Python

A fast-paced Series A startup building cutting-edge internal tools powered by Large Language Models.

• Led development of a Microsoft Excel plugin powered by LLMs, enabling professionals to automate spreadsheet tasks, extract insights, and interact with data naturally.
• Focused on improving customer experience, refining LLM outputs, and ensuring product stability through structured testing, observability improvements, and fast iteration.
• Built and monitored product-level metrics using observability tools, helping identify bottlenecks and user friction points.
• Played a key role in shaping the plugin’s direction, balancing usability, performance, and AI accuracy.
• Participated in end-to-end product work, from prototyping and user testing to deployment and post-release iteration, collaborating closely with design and leadership.
• Contributed to LLM prompt engineering and response tuning for higher reliability and relevance in user-facing scenarios.

Freight-forwarding data visualisation and forecasting with ML-powered automation. Andrii joined the company at the Seed stage as the 9th employee and helped scale the team through Series A and B to 145 people. Contributed to building enterprise-grade software used by leading global freight forwarders (e.g., DHL, Kuehne+Nagel) and financial institutions (e.g., HSBC, Standard Chartered). Played a core role in technical strategy, architecture, and team scaling across the UK, India, and Ukraine.

• Defined the engineering vision and architecture roadmap to support strategic business growth.
• Standardised documentation and decision-making processes across all engineering teams.
• Led architectural reviews and technical design across Backend, Frontend, and ML domains, enabling system-wide consistency and scalability.

Freight-forwarding data visualisation and forecasting with ML-powered automation.

• Managed cross-functional teams, including line management of team leads and senior engineers.
• Oversaw delivery of high-impact features, balancing roadmap priorities with team velocity and morale.
• Mentored engineering talent, fostering a high-performance, collaborative culture across regions.
• Championed architectural improvements that enhanced platform reliability and onboarding speed.

Freight-forwarding data visualisation and forecasting with ML-powered automation.

• Led feature development for major clients, ensuring product excellence under tight timelines.
• Introduced team-level engineering rituals and mentoring frameworks that improved knowledge sharing and junior developer growth.
• Reduced tech debt and increased code quality by initiating refactors and testing strategies.
• Interviewed candidates, conducted onboarding, and led new team members. Helped other developers to improve their skills in their preferred directions.

Freight-forwarding data visualisation and forecasting with ML-powered automation.

• Created Python, FastAPI back-end project, which provides API to both internal services and external clients to manage their document uploads and documents processing flows.
• Worked on React.js client-facing application which uses the previously mentioned API to provide operators with tools to upload, verify and process their scanned documents.
• Re-architected the back-end project to support a rapidly growing code base and allow for the simultaneous development of multiple related parts of our application in a stable and tested environment.

A cutting-edge start-up at the forefront of AI and Computer Vision Technology, building a real-time digital replica map of the world, to provide future industries the architecture they will need to connect to operate. Existed through an acquisition by Meta (Facebook at the time)

• Built and maintained React Native and web applications for large-scale computer vision data collection.
• Led the development of high-throughput Flask APIs for uploading and managing geospatial media.
• Refactored legacy codebases to improve UX and data quality.
• Reported directly to the CTO in a lean, fast-moving team.

The project intended to help cryptocurrency traders to analyze their trading results from different cryptocurrency exchanges

• Built and maintained user-facing React components for crypto analytics dashboards.
• Created a “Trader’s Diary” feature to visualise historical trading performance, including P&L per transaction.
• Contributed to frontend reliability and visual clarity in a fast-paced startup environment.