# Marta Diakiv

> Python Backend Engineer | Fintech | MSc AI · Graph Neural Networks

Location: London, England, United Kingdom
Profile: https://flows.cv/martadiakiv

Python backend engineer with a fintech background, building scalable low latency systems on AWS. I hold an MSc in Artificial Intelligence, where my research explored negative sampling techniques for Graph Neural Networks. I have a strong interest in agentic AI and Skills, and Ienjoy working close to data and ML products.

## Work Experience
### Full Stack  Software Engineer @ Rothesay
Jan 2024 – Present
- Designed and built end-to-end a request management platform — handling validation, routing, state management, and response publishing across distributed calculation workflows
- Implemented serverless event-driven architecture using AWS Lambda, SQS, Docker and Kubernetes
- Contributed to a graph-based automation reducing a 17-day business process to ~35 seconds, achieving 82% reduction in completion time
Stack: Python, AWS, React, PostgreSQL, REST APIs, Docker, Kubernetes

### Market Research Analyst @ DataArt
Jan 2024 – Jan 2024 | City Of London, England, United Kingdom

### Software Engineering Intern @ Erste Digital
Jan 2022 – Jan 2022 | Vienna, Austria
- Implemented 20+ Oracle service bus back end security services using Java and REST
- Completed "Agile & Scrum"  and  "Skill of Presentation" trainings
- Worked under strict 2 weeks deadlines using SCRUM
- Received an offer to join as a junior developer after completing the internship
- Communicated and cooperated with different teams including outsource overseas teams


## Education
### Master of Science - MS in Artificial Intelligence
Queen Mary University of London

### Bachelor of Science - BS in Computer Science, Data Science
University of Vienna


## Contact & Social
- LinkedIn: https://linkedin.com/in/martadiakiv

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Source: https://flows.cv/martadiakiv
JSON Resume: https://flows.cv/martadiakiv/resume.json
Last updated: 2026-04-05