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Вячеслав Райцев
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Вячеслав Райцев

@0007135

AI engineer (LLM agents, RAG, Python). 1st place HackAging.ai 2025. Full-stack: FastAPI, React. Open to remote & relocation

Russian Federation
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At Open Longevity, I built Appraizer, a production system that uses a five-model LLM ensemble to evaluate scientific grant proposals. I integrated it into the organization's website through a FastAPI REST API and added a feedback loop to improve scoring consistency.

I also designed and built SMM Agent, a multi-agent content generation pipeline with web research, RAG, and an automated revision loop. Its React frontend streams execution updates from a FastAPI backend, and an ongoing client pilot is adapting it for long-form SEO/GEO articles.

In biomedical research, I built DeepSurv-NMF, an explainable survival-analysis pipeline for TCGA-BRCA data, and earned third place in the TSTU Internal Research Competition 2025. My B.Sc. thesis project, SpatialScope, is a full-stack platform for biomedical image analysis and outcome prediction; validation on public paired datasets is planned.

I built a gene-protein research agent that won first place at HackAging.ai 2025, and DocTalk, a medical documentation pipeline that won first place at TSTU IT-Track 2024. I'm now pursuing an M.Sc. in Information Systems and Technologies at Tambov State Technical University.

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Education

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TU

Tambov State Technical University

Master of Science, Information Systems and Technologies

2026 -

Pursuing a Master of Science in Information Systems and Technologies, specializing in Analysis and Synthesis of Information Systems. Currently in the first year of full-time study.

Tambov State Technical University logoTU

Tambov State Technical University

Bachelor of Science, Information Systems and Technologies

2022 - 2026

Grade: Honors Diploma, GPA 4.77/5.0

Earned a Bachelor of Science in Information Systems and Technologies with Honors. Achieved a GPA of 4.77/5.0, placing in the top 4% of the cohort. Thesis focused on a full-stack platform for predicting spatial gene expression from tissue imaging using graph neural networks.

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