German Skrylnikov

Backend engineer building the AI systems behind client-facing products—ordering assistants, B2B quotation platforms, and document and inventory automation.Developer on three production services, each taken from specification to live use by business and clients. Works end to end: Go and Python services over gRPC, PostgreSQL and vector search underneath, Kubernetes and Terraform around them, plus the monitoring that surfaces a problem before a customer reports it. Built the company's central AI service, now powering six client products — order processing, document extraction, sales content — so each new product launches on existing capability instead of rebuilding it. Delivered an integration layer giving AI assistants direct, governed access to CRM, project-management and spreadsheet data, removing manual data lookup from client workflows. Sole developer of a WhatsApp and Telegram assistant that takes customers from enquiry to paid order without staff involvement, handling text and voice messages in multiple languages. Core developer of a quotation platform for an international building-materials manufacturer, replacing spreadsheet-based quoting across its sales operation.

Data: Coordinate data projects (new KPI implementation, data quality optimisation) Voice the business needs of the Market Analytics team to the data teams Planning: Implement modifications to model and or process and deliverables. Conduct analysis to provide key insights for daily sales forecast Business steering: Revamp and improve monitoring tools Support Market Analytics Team and Country Managers in steering decisions Support Market Analytics Team in building business cases

Sberbank is the largest Russian bank which developing its own ecosystem with various startups. Development of a predictive model using machine learning tools to predict customer churn. Collection, preparation, and analysis of marketplace customer behavior data. Development of an algorithm for matching clients (searching for similar clients) among small business.

The company is engaged in the analysis of regional economics and predicts economic growth. Parsing data about the regional economy from open source. Working with databases to form data for analysis. Descriptive analytics of different industries of regions. Design dashboards, data visualization, and presentations based on data analytics Project (10/2017 - 10/2018) System for identifying topics and opinions As part of my work in IBS, I took part in the development of the System for identifying significant topics on the Internet in the field of science, technology, and education. The system monitors information resources and identifies significant topics in the scientific and educational field based on NLP. I researched the analysis of current trends and methods to spread information and analyzed benchmarks for identifying hot topics on the Internet. The results of the research were used in product development.