Summary
Andrei Kovrigin is a Senior Python Software Engineer based in Bishkek with 9 years of professional experience and 4+ years focused on backend and AI/ML systems. He has a strong track record building production ML services—NLP, CV, and inference pipelines—using FastAPI, Triton, vLLM, LangChain, and scalable tooling like Kafka, Qdrant, and Elasticsearch. Andrei has repeatedly cut manual work and costs (examples: 40% reduction in support ticket handling, 20% licensing savings, and 200% faster data labeling) by designing automated AI-driven services and efficient backend architectures. He’s comfortable across the stack: async Python, SQLAlchemy, Celery/RabbitMQ, Prometheus, Docker/Kubernetes and CI/CD, and has improved throughput and reliability of ML pipelines through pragmatic engineering. Notably, he rebuilt heavyweight search and image/moderation systems that replaced vendor solutions and scaled to hundreds of daily users and hundreds of millions of records. Colleagues describe him as a results-oriented engineer who blends research-adjacent ML work with production-grade software craftsmanship.
9 years of coding experience
3 years of employment as a software developer