Miva Open University
Masters Degree, Information Technology
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While my background is primarily in backend engineering, much of my work has involved building and maintaining data-intensive systems where data quality, structure, and consistency were critical. At Davtonlearn, I worked on a platform serving over 60,000 users, where clean, well-structured data pipelines were essential to delivering reliable outputs across multiple enterprise clients. This gave me a strong foundation in understanding how data flows through systems, how it needs to be validated, and what makes it usable at scale. My experience with SQL and NoSQL databases, API development, and working across cross-functional teams translates directly into AI training data work — particularly in tasks like data structuring, quality validation, annotation pipeline support, and documentation. I'm detail-oriented by habit (clean code and maintainability are values I carry into every project), comfortable working with large datasets, and experienced in communicating technical requirements clearly to non-technical stakeholders. I'm eager to apply this precision and systems thinking to the specific demands of AI training data work.
Masters Degree, Information Technology
Bsc, Forestry and Wildlife
Backend Engineer
Frontend Lead Engineer