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.
- 💼 Experience: Backend Developer at National Center "Taldau" and KMG-Kumkol (Django, Go, Frappe).
- 🎓 Education: Software Engineering at Astana IT University (2023–2026).
- 🏆 Achievements: 1st author of an IEEE publication on CNNs for lung cancer detection; Winner of AITU Hackday.
- ☁️ 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 → NLP → Embeddings → SPA). | GoPythonNATSpgvectorK8s |
| aquageo-module | Hackathon: GIS-enabled water resources portal with AI document parsing and digital signature workflows. | DjangoPostGISReactGemini |
| sre-final-project | SRE: E-commerce microservices with load tests, IaC, and custom CLI diagnostics. | GogRPCPrometheusTerraform |
| bike-store-go | Fullstack: Clean-architecture Go microservices for a bicycle e-commerce platform. | GogRPCNATSPostgreSQL |
| warehouse-management | API: Role-based inventory with JWT auth, rate limiting, and automated PDF email receipts. | GoGinMongoDBJWT |
| ml-assignment-4 | Deep Learning: Custom CNN for Lung-cancer CT image classification benchmarked on 9 augmentation strategies. | PythonTensorFlowOpenCV |

