Atay Kim

Selected for the inaugural national cohort of the AI mentorship program, including applied AI projects, workshops, and mentoring sessions with 01.AI experts.

Created and quality-checked 500+ mathematics problems and 10+ adaptive lessons for UNT preparation. Reviewed mathematical correctness and lesson sequencing with the product team.

Built a PyTorch Fourier Neural Operator benchmark for heterogeneous 1D heat conduction and evaluated temperature, heat-flux, and discrete PDE-residual errors. Presented findings at AIDME 2026 and developed an interactive demonstration.

Built a degree-planning application used by 2,000+ university students per semester, with prerequisite graphs and semester-sequence validation. Implemented in TypeScript, React, React Flow, Vite, and Tailwind CSS.

Organized five international contests reaching 2,000+ participants from four countries. Coordinated up to 130 organizers and managed an event budget exceeding USD 20,000.

Taught 30+ one-to-one and 100+ group students from Grade 1 through second-year university. Prepared learners for SAT, NUET, UNT, olympiads, and university mathematics.

Adapted an evaluation harness to compare Qwen 2.5 3B with and without BM25 retrieval on 21 multilingual questions grounded in official Kazakhstan public-information pages.

Investigated gated modal memory with local and global attention in small character language models. Compared models at roughly 121,000 parameters over three optimization seeds and documented limitations in a research manuscript.

Generated and standardized 300 synthetic 2D incompressible smoke-flow simulations and implemented a PyTorch FNO on an NVIDIA Tesla T4. Evaluated autoregressive trajectories against numerical simulations and documented artifacts and drift.

Led 10 mentors delivering 30+ lessons and 100+ hours of olympiad instruction to 60+ students across the CIS. Helped organize two in-person olympiad camps.

Activities and societies: Dean's List; Foundation Year Programme 2023-2024; undergraduate Mathematics programme from Fall 2024.

Pursuing a BSc in Mathematics with a focus on applied mathematics and scientific machine learning. Expected graduation in May 2028.

Grade: 4.86/5.00

Completed secondary education with a GPA of 4.86/5.00.