
Khaknazar Zhanibek
@khaknazarzhanibek
I build evaluated RAG copilots, QLoRA experiments, and production-minded ML APIs in Python.
What I'm looking for
I've built a Consular Services RAG Copilot that retrieves from public official sources, provides cited answers, refuses unsupported requests, and escalates complex queries to a human.
I evaluated cross-encoder reranking on 24 local test queries, reaching Hit@1 of 0.833 and MRR of 0.894. My projects also include a QLoRA reasoning experiment that improved validation strict Pass@1 to 55.0% versus 10.5% for answer-only training.
I build Python ML services with FastAPI, MLflow, Evidently, Docker, automated testing, and reproducible evaluation. Alongside my MSc in Computer Science and Technology, I bring consular-services experience communicating in Kazakh, Russian, Chinese, and English.
Experience
Work history, roles, and key accomplishments
Consular Section Staff Member
Embassy of the Republic of Kazakhstan in China
Jun 2023 - Oct 2025 (2 years 4 months)
Advised citizens, checked document packages, handled enquiries and scheduled appointments; assisted with certificates, powers of attorney and legalization paperwork. Translated across Kazakh, Russian, Chinese and English; maintained spreadsheets and internal records and supported official events.
Education
Degrees, certifications, and relevant coursework
Beijing Institute of Technology
Master of Science, Computer Science and Technology
2024 - 2026
Grade: 3.6/4.0
Master of Science in Computer Science and Technology, degree awarded with GPA 3.6/4.0 and thesis grade 90/100.
Beijing Institute of Technology
Bachelor's degree, Artificial Intelligence
2020 - 2024
Grade: 3.3/4.0
Bachelor's degree in Artificial Intelligence, GPA 3.3/4.0, taught in Chinese.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/khaknazar-aiSalary expectations
Job categories
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