Daniil Kovekh

Developed software for real estate management used by Lidl and 60+ companies. As a data engineer: renovated data architecture, rebuilt ETL pipelines, fixed data quality issues, and added observability. Prepared data for market/AI use cases (including MCEPs and an AI chat bot). As a software engineer: built a system for measuring building decarbonisation targets (C R R E M) and implemented numerous pages and features for building budgets, rental contracts, and energy consumption management. Supported team enablement by teaching the team using AI bots to remove routine tasks.

Worked on data and software engineering using Airflow, Kafka, Hadoop, Spark, Iceberg, PostgreSQL, ClickHouse, Greenplum, S3 Data Lens, Power BI, Grafana, Azure, AWS, and self-hosted components. Built a desktop app for overlaying translations on Windows and Mac screens using NLP models plus supporting libraries and Electron. Developed a web chatbot and researched RAG (including OCR with VLMs and NLP). Created RPA tools using Selenium scraping and LLM agents to collect company and employee information for outsourcing workflows, including AI agents for LinkedIn and email outreach. Built tools for customer service including email classification, process automation, and new web interfaces. Classified 120k medications from FDA, NDC, and Apotheek datasets for insurance coverage.

Built a RAG-based chatbot for Verbund that retrieves answers from thousands of files. Delivered an ESG reporting tool and a PDF generation tool. Researched and designed RAG/LLM components including vector stores, knowledge graphs, embeddings, evaluators, and file transformers. Managed a small team (up to 5 members) across corporate and startup environments, contributing to areas such as taxation, bookkeeping support, contracts, marketing, sales, and investments.