Andrey Keske
AI Engineer (RAG Full-Stack Systems) at Dokka
Miami Beach, Florida, United States
Summary
👤
Senior🎓
Top SchoolAndrey Keske is an AI engineer specializing in production-grade retrieval-augmented generation (RAG) and full-stack AI infrastructure, with 11 years of experience building reliable, evaluation-friendly LLM systems. He designs deterministic ingestion pipelines, embedding/versioning strategies, and multi-tenant-safe retrieval stacks that prioritize grounded answers and reproducibility. As a former founding full-stack engineer and startup CTO, he brings product-first instincts to infrastructure work—shipping node-based workflow studios, canvas-scoped retrieval UIs, and secure API surfaces. His implementations emphasize operational maturity (observability, background indexing, provider fallbacks) and safe upgrade paths (re-index loops, embedding versioning) that minimize data loss. Based in Miami Beach, he blends deep front-end craftsmanship from mobile and React migrations with backend systems expertise (FastAPI, Qdrant, Postgres, Celery) to move LLM prototypes into production. An underappreciated strength is his focus on deterministic, re-index-safe chunking and metadata-preserving ingestion that makes long-lived knowledge systems auditable and upgradeable.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Design, Bachelor's degree, Design at Ural State Pedagogical University
English, Japanese
Stackoverflow
41reputation
476reached
1answer
0questions
Github Skills (61)
face-detection10
ios10
scroll10
react-native10
parallax10
react-redux10
drag10
pinch10
cross-platform10
css-loader10
react-three-fiber10
redux10
camera10
rotation10
rotate10
Programming languages (4)
Github contributions (5)
keske/Swayer
Apr 2015 - Aug 2015
Contributions:1 PR, 91 pushes, 3 branches in 4 months
keske/Kanji-Ninja
Jul 2015 - Jan 2018
Contributions:56 commits, 42 pushes, 2 branches in 2 years 6 months
javascriptreacttypescript
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