Санжар Омарханов
@0002995
Backend developer specializing in Python REST APIs with FastAPI and Django, focused on scalable, ML-ready services.
What I'm looking for
I build REST APIs with Python—shipping FastAPI and Django REST Framework services that are clean, testable, and easy to deploy with Docker. I also enjoy blending ML into backend workflows, from model integration to experiment tracking and explainability.
Recently, I built an Early Burnout Detection system with XGBoost, added a FastAPI /predict endpoint, Dockerized the stack, and delivered SMOTE, SHAP, and MLflow tracking (Weighted F1 ~0.849, ROC-AUC ~0.787). I’ve also developed a Django Online Shop API across multiple view patterns and deployed a Heart Disease Prediction FastAPI service with Streamlit and docker-compose.
Experience
Work history, roles, and key accomplishments
Built production Android apps including DevFeed (news aggregator) and a Currency Converter using Clean Architecture, Kotlin, Hilt, and Retrofit. Applied MVVM with StateFlow, Room, WorkManager, and implemented UI testing with Espresso/MockK.
Python/ML Team Lead
KBTU Group Project
Feb 2025 - May 2025 (3 months)
Built an Early Burnout Detection system with an XGBoost classifier on the IBM HR Analytics dataset and containerized the FastAPI service with a /predict endpoint. Led a team of 3 and achieved Weighted F1 ~0.849 and ROC-AUC ~0.787 using SMOTE, clustering, and SHAP explainability with MLflow tracking.
Django Backend Developer
Django Online Shop API
Mar 2025 - Apr 2025 (1 month)
Developed a Django REST Framework backend for a shop with Category and Product models, designing RESTful endpoints with serializers, pagination, and filtering. Implemented 5 DRF view approaches including ModelViewSet, FBV, CBV, Mixins, and Generic Views.
Freelance Landing Page Dev
Umai Group
May 2026 - Present (1 month)
Built a multilingual (ru/kk/en) educational center landing page with Next.js 15 and Tailwind CSS, including i18n, pricing with a countdown timer, and teacher/testimonial sections. Deployed the site to GitHub Pages and implemented SEO-focused layout and components.
FastAPI ML Service Dev
Heart Disease Prediction API
Apr 2025 - Present (1 year 2 months)
Deployed a Random Forest model on the Cleveland Heart Disease dataset via a FastAPI service with a /predict endpoint. Dockerized the service and added a Streamlit frontend with MLflow tracking using docker-compose (3 services).
Education
Degrees, certifications, and relevant coursework
Kazakh-British Technical University (KBTU)
Bachelor of Science, Information Systems
2024 -
Grade: GPA 3.6/4.0
B.Sc. in Information Systems at Kazakh-British Technical University (KBTU), expected graduation in 2028; GPA 3.6/4.0.
Hochschule Furtwangen University (HFU)
2026 - 2027
Exchange student (IBIS Programme) at Hochschule Furtwangen University from Sep 2026 to Feb 2027.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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