DANIIL TOPCHIU

Python Chatbot and Automation Developer

Jul 2026 - Present • 1 mo

Architected and deployed a multi-platform e-commerce automation and fulfillment system, integrating digital marketplaces with instant delivery channels via asynchronous communication. Key Achievements & Technical Scope: • Developed high-performance, concurrent messaging bots for Telegram (using aiogram 3) and VKontakte (using vkbottle), utilizing finite state machines (FSM) for secure customer validation and product delivery. • Integrated Wildberries DBS API and Yandex Market Partner API to automatically process digital orders, generate unique activation codes, and update order statuses programmatically. • Designed and implemented an administrative routing module that dynamically creates dedicated forum topics within Telegram groups, enabling support operators to handle multi-channel client inquiries. • Built an automated logging system using the Google Sheets API (gspread) to record real-time transaction details, payment platforms, and activation history. • Developed a local database schema with SQLite to manage order states, stock codes, and ensure strict deduplication of processed marketplace transactions. • Managed background poller tasks and scheduled processes using asynchronous frameworks, ensuring continuous API sync under strict rate-limit environments.

Software Engineer (Python and Data Analytics)

May 2026 - Present • 3 mos

Designed and developed custom desktop applications, automation tools, and data integration pipelines for small and medium-sized enterprises (SMEs) to streamline business workflows. Key Achievements & Technical Scope: • Developed a cross-platform Desktop Business Intelligence (BI) Dashboard utilizing Python, PyQt5, Pandas, and Matplotlib to consolidate heterogeneous data sources (PostgreSQL, MySQL, Excel, and unstructured log files). • Built a high-performance ETL (Extract, Transform, Load) pipeline using Pandas DataFrame structures, reducing manual data-merging time from hours to 1-2 seconds with intelligent in-memory caching. • Implemented robust multi-threading (QThread) to ensure a responsive, non-blocking GUI during resource-intensive database operations and parsing of large local files. • Designed a dynamic database schema discovery module allowing users to visually configure custom JOIN-relations, rename database columns, and manage column visibility on-the-fly. • Developed secure, parameterized SQL generation modules (supporting both PostgreSQL/ANSI SQL and MySQL dialects) to mitigate SQL injection risks. • Created an interactive visualization canvas with Matplotlib supporting real-time drill-down analysis, cross-filtering, and downsampling of large datasets to maintain UI responsiveness. • Programmed comprehensive exception handling and recovery systems, ensuring application stability during network disconnects, schema mismatches, or corrupted file imports.