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Надежда Шилова

@0004834

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I build production AI systems, GraphRAG platforms, and high-load backend services for healthcare and risk management.

Armenia

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What I'm looking for

I'm looking to build production AI products where I can own the full lifecycle—from data pipelines and LLM integration to reliable backend deployment—especially in HealthTech, Risk Management, and complex high-load systems.

At Akcent Medical IT Solutions, I build production RAG architectures, semantic search engines, and AI-powered medical systems that turn clinical protocols into faster, data-driven decisions.

I've engineered GraphRAG integration between Neo4j and Milvus, accelerating embedding collection 10x and search 3x while cutting RAM consumption by 50%. I also created a reusable Milvus integration server and recommendation tools for clinic networks.

I take AI services from data preparation and synthetic data generation through LLM integration, validation, testing, deployment, and documentation. My stack includes Python, Django, FastAPI, Celery, Redis, Docker, PostgreSQL, Neo4j, Milvus, and ChromaDB.

Earlier at Gazprom Transgaz Ukhta, I helped create the organization’s first Python application for risk reporting, improving how teams collected, approved, stored, and generated reports. I also mentor teammates through code reviews and practical training on AI pipelines and vector and graph databases.

Experience

Work history, roles, and key accomplishments

AI Engineer

Akcent Medical IT Solutions

Feb 2024 - Jun 2026 (2 years 4 months)

Designed and implemented RAG architectures and semantic search engines, integrating LLMs into production and developing ML models for medical data. Engineered a seamless integration between Neo4j and Milvus, accelerating embedding collection 10x and search 3x while reducing RAM consumption by 50%.

Software Engineer

Gazprom Transgaz Ukhta

Feb 2022 - Feb 2024 (2 years)

Full-Stack Django Developer experienced in database design (PostgreSQL) and technical support. Key achievement: built the company's first Python application, accelerating risk reporting processes. Expert in data processing and automated reporting (pandas, openpyxl); created custom scripts for dynamic Excel formatting and optimized data transparency.

SQL Django PostgreSQL JavaScript jQuery HTML CSS Bootstrap Pandas Regex Requirements Analysis BPMN 20 Git Technical Documentation

Junior Systems Analyst

Spellabs

Jun 2019 - Sep 2019 (3 months)

Data-Driven Product Analyst / Systems Analyst with a strong background in defining product requirements and technical documentation. Skilled in data analysis and database modeling (MSSQL, ERD) using Python, R, and SQL. Adept at translating stakeholder interviews into clear specifications and managing version control via Git

SQL R Microsoft SQL Server Requirements Analysis Data Analysis ERD Git Technical Documentation