I'm a Software Engineer specializing in event-driven microservices and applied Machine Learning. I am deeply passionate about Clean Architecture, high-load systems, and DevOps.
- πΌ Experience: Backend Developer at National Center "Taldau" and KMG-Kumkol (Django, Go, Frappe).
- π Education: Software Engineering at Astana IT University (2023β2026).
- π Achievements: 1st author of an IEEE publication on CNNs for lung cancer detection; Winner of AITU Hackday.
- βοΈ Cloud: Holds 14 professional certifications across AWS and Google Cloud (including Vertex AI & Gemini Apps).
| Project | Description | Tech Stack |
|---|---|---|
| monserv-portfolio | Diploma: Polyglot event-driven platform for receipt analytics (OCR β NLP β Embeddings β SPA). | Go Python NATS pgvector K8s |
| aquageo-module | Hackathon: GIS-enabled water resources portal with AI document parsing and digital signature workflows. | Django PostGIS React Gemini |
| sre-final-project | SRE: E-commerce microservices with load tests, IaC, and custom CLI diagnostics. | Go gRPC Prometheus Terraform |
| bike-store-go | Fullstack: Clean-architecture Go microservices for a bicycle e-commerce platform. | Go gRPC NATS PostgreSQL |
| warehouse-management | API: Role-based inventory with JWT auth, rate limiting, and automated PDF email receipts. | Go Gin MongoDB JWT |
| ml-assignment-4 | Deep Learning: Custom CNN for Lung-cancer CT image classification benchmarked on 9 augmentation strategies. | Python TensorFlow OpenCV |

