AA

Andrey AI

Available to hire

Senior Software Engineer with 5+ years of experience specializing in building production-grade backend systems, scalable API architectures, and autonomous AI agent workflows.

About

Senior Software Engineer with 5+ years of experience specializing in building production-grade backend systems, scalable API architectures, and autonomous AI agent workflows. Proven track record of designing reliable database schemas and high-throughput data tracking systems.

Deeply focused on backend robustness, strict data validation, and comprehensive automated testing (Pytest). Experienced in orchestrating advanced LLM-driven applications (Claude, Gemini), prompt engineering, and Model Context Protocol (MCP) integrations to automate complex operational workflows.

  • Joined July 2026

Industry experience

  • Software & Internet
  • Real Estate & Construction
  • Professional Services

More experts in T'bilisi, Georgia

Projects · 2

Architected and deployed an automated data pipeline and scoring engine designed to aggregate, filter, and score freelance and job opportunities in real-time.

Key Achievements & Architecture:
• Data Ingestion & Filtering: Built targeted parsers to extract data from multiple platforms, utilizing regular expressions and linguistic scrapers to instantly filter out noise and spam.
• AI Scoring Engine: Implemented a matching algorithm that compares job descriptions against predefined technical stack matrices, calculating a match-probability metric for each lead.
• Automated Delivery: Integrated automated routing to synthesize the best opportunities, complete with suggested bidding strategies, directly into Telegram notifications.
• Reliable Backend: Powered by Python and SQLite, ensuring lightweight, fast, and fault-tolerant operation.

This system showcases my expertise in building high-throughput ETL pipelines, working with raw unstructured data, and applying automated decision-making to optimize business processes.

AI-Powered Lead Scoring & ETL Data Aggregation System (Radar)
  • AI Engineer
  • Back-End Developer
  • Data Scientist
  • +2

Designed and deployed a commercial Telegram-based AI application that generates customized, long-form content (compatibility reports, 30-day forecasts) with integrated monetization.

Key Achievements & Architecture:
• Monetization Engine: Engineered a seamless payment flow utilizing the Telegram Stars webhook API, handling transactional state and asynchronous payment verifications.
• High-Availability Routing: Built a resilient cross-provider LLM fallback logic (Gemini API + OpenRouter) to guarantee uninterrupted report generation during upstream provider outages.
• Stateful Database Design: Implemented a lightweight, robust SQLite architecture to manage user session states, track order history, and power a returning-user “My Reports” dashboard.
• Operations Tracking: Developed real-time admin notification layers for transaction tracking and system health monitoring.

This project demonstrates my ability to build end-to-end, revenue-generating AI products with secure payment handling and resilient backend architectures.

Premium AI Product & Payment Gateway Integration (Astrolog AI Bot)
  • AI Engineer
  • Back-End Developer

Work experience

Founder & AI Solutions Architect · Polina EstateJul 2025 – Present · 1 yr 5 mos

Designed and launched a production-ready autonomous PropTech ecosystem using Python, FastAPI, and Linux. Built a multi-source data extraction pipeline processing 74,000+ active property listings with validation and zero-loss indexing. Deployed a stateful client qualification triage assistant (“Anna”) as hardened systemd background daemons on a Linux VPS. Enforced engineering reliability through a comprehensive TDD approach with 540+ unit and integration tests to eliminate production runtime failures.

Independent AI Automation BuilderJun 2025 – Present · 1 yr 6 mos

Built multiple automation systems: (1) Batumi Real Estate Radar—high-throughput Telethon-based ingestion processing 1,300+ streaming messages daily, a two-stage LLM classification framework for intent/spam filtering with strict structured JSON compliance, and an orchestration optimization achieving a 12x reduction in API token overhead; integrated n8n layers to parse payloads into SQLite and generate Telegram notifications. (2) Freelance Radar—order scoring and matching engine that scans platforms, filters noise with regex/linguistic scrapers, matches job descriptions against tech stack matrices, outputs match-probability metrics, and routes synthesized opportunities and suggested bidding strategies via notifications. (3) Astrolog AI Bot—premium Telegram product with payment event hooks and cross-provider fallback routing (Gemini API + OpenRouter), stateful SQLite user architecture, and asynchronous transaction logging via Telegram Stars webhooks and admin alerts.

Education

Engineer's Degree, Civil Engineering · Vyatka State University1997 – 2002

Fundamental engineering education with a rigorous focus on structural design, higher mathematics, and complex systems architecture. This analytical background seamlessly translates into my current work designing scalable, resilient backend architectures and highly structured data pipelines.

Certifications and awards

Autonomous AI Architecture & Pipeline Optimization (Applied Qualification)2025 – 2026

Demonstrated architectural qualification through the engineering, deployment, and ongoing optimization of the Polina Estate PropTech platform. Achieved production-grade milestones: engineered a 12x reduction in LLM operational costs, architected a high-throughput ETL data pipeline handling 74,000+ live items, and deployed a robust multi-agent ecosystem (6 specialized agents) optimized for 10x traffic surges. Validated through strict Test-Driven Development (540+ integration tests) and implemented data-minimization routing for API security.

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