Pavel Liashkov is a Backend Engineer with 13 years of experience building high-performance, production-grade systems and a 12+ year track record in scalable backend architecture. Currently based in Bangkok, he focuses on multi-agent AI orchestration, RAG pipelines with pgvector and DuckDB, and low-latency microservices using FastAPI and gRPC. At SplitMetrics he built multi-agent research systems and RAG implementations achieving sub-100ms query latency and managed data pipelines processing 200M+ records/day with 99.9% uptime. Previously he designed global payment infrastructure at Exness integrating 50+ payment systems and led hiring and PCI-compliant solutions for fintech scale. CKA-certified and an active member of IEEE and ACS, he combines deep Python expertise, open-source impact (2.4M+ PyPI downloads), and a knack for squeezing high throughput from embeddings and OLAP stacks. An unusual strength is translating advanced ML research into pragmatic engineering—evident in ONNX-optimized embeddings and hybrid search architectures deployed in production.
14 years of coding experience
10 years of employment as a software developer
Master’s Degree Information Technology, Master’s Degree Information Technology at University of the People
Master’s Degree Theoretical physics, Master’s Degree Theoretical physics at Kemerovo State University
Helper for add transitions functionality in sqlalchemy
Contributions:6 releases, 96 commits, 27 PRs in 2 years
sqlalchemytransitions
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