Iuliia Cambur

Designing and building a mobile-first AI language learning app for contextual pronunciation practice grounded in second-language acquisition research. Integrated Google Vision API for contextual vocabulary suggestions and Lemonfox.ai speech assessment APIs for private practice with immediate corrective feedback.

Managed 10 concurrent web and digital product engagements, maintaining 80%+ client retention through fast delivery cycles and transparent stakeholder communication. Led full-cycle delivery and Agile teams (7–10 across engineering, QA, and design), keeping projects on time and within scope while converting requirements into sprint plans and delivery roadmaps.

Improved product adoption by 25% via competitive analysis and market research, shaping roadmap priorities across three regions. Redesigned sprint planning to boost productivity 15% and cut delivery turnaround time, while reducing product downtime by 30% through log analysis and monitoring; built executive dashboards using Python (Pandas), Power BI, and Tableau.

Served as an internal SME for Identity & Security, achieving a 90% first-line resolution rate for global enterprise incidents. Built ServiceNow and Power BI reporting dashboards (15% efficiency gain) and reduced repeat incidents by identifying process bottlenecks from ticket patterns and implementing workflow changes.

Led an energy consumption forecasting initiative end-to-end, reducing energy costs by 5% and improving forecast accuracy by 18%. Supported 50+ enterprise systems with a 95% issue resolution rate within 24 hours and produced 30+ documentation sets that reduced support ticket volume by 20%.

Audited the electronic document management system and introduced updated regulations, cutting processing time by 25%. Automated 30% of routine document operations and implemented efficiency monitoring to reduce document errors by 15%, improving team output quality.

MSc in Cognitive Science, Linguistics & AI focusing on ML, NLP, and Computational Linguistics. Research includes computational detection of early dementia via linguistic markers.

Highly selective peer-to-peer software engineering curriculum. Completed low-level C projects under strict performance and memory constraints (e.g., libft, ft_printf, get_next_line, push_swap) without external libraries.

BA in Linguistics with a focus on English and French studies. Completed undergraduate coursework in linguistics and language-related studies.