Sergey Leksikov
Machine Learning Researcher, Software Engineer at Lablup Inc. (Backend.AI)
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolSergey Leksikov is a machine learning researcher and software engineer based in Seoul with nine years of experience building applied AI systems and prototypes. At Lablup/Backend.AI he leads development of LLM-driven demos and production-ready RAG services such as DosiRAG and multimodal generators like VisuTale, and has integrated agentic workflows and synthetic data for tariff classification. His background spans quantitative research and data science in finance, where he led an ESG analytics team, built ML-driven stock return models and portfolio methodologies that outperformed benchmarks. Sergey also has a strong academic foundation from KAIST, contributing to research on trail inference from crowd GPS data and hybrid neural networks for neuroscience applications. He combines practical deployment skills (LangChain, FAISS, vector stores) with applied research—an unusual mix that enables end-to-end solutions from modeling to one-click RAG deployment.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Knowledge Service Engineering, Master's degree, Knowledge Service Engineering at Korea Advanced Institute of Science and Technology
Russian, English, Korean
Github Skills (40)
monitoring10
docker10
pluggable10
cloud-computing10
python10
cluster-computing10
hosts10
distributed-computing10
api10
heterogeneous10
backend10
paas10
machine-learning9
accelerator9
hpc9
Programming languages (5)
Github contributions (5)
lablup/aiotusclient
Jul 2020 - Mar 2021
aiotusclient custom implementation of py-tus-client for backend.ai
Contributions:45 commits, 4 PRs, 60 pushes in 7 months
pythontusbackendpython3tus-client
lablup/RAGModelService
Feb 2025 - Mar 2025
PoC concept
Contributions:3 PRs, 62 pushes, 6 branches in 1 month
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