Nurdaulet Aldibek

ML Engineer

SDU AI Laboratory

Built an instructor-matching tool and contributed to a car-search and pricing system, including a CatBoost model with R2 0.94 and 9% median error.

• Built a teacher-matching tool for SDU students, ranking instructors by teaching experience, achievements, background, and strengths. • Team project (4-service pipeline: Telegram bot, backend API, live+Elasticsearch search, ML pricing) letting users search Kolesa.kz cars via natural-language Telegram queries — co-built the scraper (20,000+ listings); cleaned the data and trained a CatBoost fair-price model (R² 0.94, 9% median error on held-out data); built the LLM query parser and the live price-verification layer comparing predicted vs. listed prices.

Coach

Seifullin School

Coached students in programming, wrote practice problems, and set problems for the 2024 Regional Stage of the National Olympiad in Informatics.

• Ran group training sessions and authored original practice problems for students. • Set problems for the Regional Stage of the National Olympiad in Informatics (2024).

Head Judge & Problem Setter

JCL (Junior Coding League)

Co-organized a regional programming competition reaching 50+ schools and 150+ participants, and authored about 30 problems.

• Co-organized a 3-month regional programming competition with 50+ schools and 150+ participants; authored ~30 problems.

Resident

Shymkent Hub

Regional startup & tech-innovation hub (Astana Hub network) — conducted CustDev interviews and problem analysis for local business owners.

Conducted customer discovery interviews and problem analysis with local business owners as a resident at a regional startup and tech hub.

• Regional startup & tech-innovation hub (Astana Hub network) — conducted CustDev interviews and problem analysis for local business owners.

B.Sc., Computer Science

SDU University

AI Engineer Program

nFactorial School