arsen serikbay

MLOps Engineer

DAN and PARTNERS

Owned AWS infrastructure and deployment for an AI construction product, including more than five services and GPU based RAG and document processing.

• Owned AWS EC2 production platform for AI construction SaaS (API / worker / GPU nodes). • Deployed 5+ services (backend, frontend, RAG, IRD, GPU inference) via Docker Compose, GitHub Actions CD, SSM rollout, Nginx/SSL. • Built path-based CI/CD and standardized Python deps with uv + cache-friendly Docker layers. • Operated production RAG stack (embeddings, reranker, LLM) with vLLM / TEI / Ollama on GPU. • Deployed IRD document pipeline (OCR, CV, Qwen/Ollama); set up local MinIO/dev stacks for fast iteration.

Data Engineer

Financial Monitoring Structure

Automated data workflows and built RAG, AI agent, sentiment analysis, and startup scoring systems.

• Automated data workflows with Apache Airflow; reported pipeline results in Metabase. • Built RAG system with Qdrant and AI agent pipeline using LangGraph and Medallion architecture. • Developed TABSA sentiment model (roBERTa) and HypeScore startup scoring from news signals.

Bachelor of Science, Mathematical and Computational Science

Astana IT University

Certificate, Golang Developer (Backend)

Alem School