Looking for a job

Ivan Shabanov

@ishbnv

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I build revenue-generating full-stack fintech and AI products end to end.

Armenia

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What I'm looking for

I'm looking for remote full-time or contract work where I can own product features end to end, work directly with founders and product or marketing leads, and build measurable revenue-driving products with AI-first engineering practices.

At GIDFINANCE, I build consumer-lending fintech products end to end, from scope and metrics through rollout. My credit-report chatbot increased channel net profit by 40% in its first week, with A/B tests across two additional brands reaching up to 2× EPC.

I also built a self-service push-campaign builder generating about $75K per month, improved a 100,000-row scoring table from 5–8 seconds to under one second, and moved notifications and domain events to Kafka to eliminate message loss at peak load.

Previously at SODA, I led an AI lead-processing assistant that responds in under 30 seconds versus an approximately eight-minute human average. I designed the model cascade to reduce API costs by 10× and ran the comparison that moved the channel fully to AI, supporting about $150K in monthly revenue.

I work AI-first with TypeScript, React, Node.js, Claude Code, and MCP servers, using codified project rules and agentic pre-review to ship routine engineering work about 3× faster.

Experience

Work history, roles, and key accomplishments

Current

Full-Stack Engineer

Current

GIDFINANCE

Sep 2024 - Present (1 year 11 months)

Consumer-lending fintech: ~$22M annual revenue, tens of thousands of daily users, ~100 employees. Product team of 10 (4 engineers). Owned features end-to-end.

- Led a credit-report product inside a VK chatbot: report issuance by phone number via the national credit bureau (NBKI) plus a personal dashboard for applications. Brought in a Python developer and an analyst, co-designed the user flows, c

Full-Stack Engineer

SODA

Aug 2022 - Sep 2024 (2 years 1 month)

Lead-generation agency for residential real-estate developers and law firms: ~60 employees, $7.5M+/year in client ad spend. Product team of 6 (2 engineers). Owned the client-server side.

- Led the AI lead-processing assistant: built the model cascade (10× lower API costs), a Redis cache, and the admin panel with live dialog monitoring over WebSocket (Node.js + React). The assistant answers leads

Node.Js Development N8n Redux toolkit GitHub Vite Docker Supertest CI CD Gitlab JavaScript Vitest Redis PostgreSQL WebSockets SQL React TypeScript Jest AI Agents Express Ant Design

Full-Stack Engineer

Appbooster

Jun 2023 - Nov 2023 (5 months)

Mobile app marketing company: ~100 employees, 10,000+ apps promoted for clients across 26 countries.

- Delivered a task-and-rewards chatbot with a personal user dashboard for the app-promotion platform: users complete tasks and get paid, admins verify completions; grew from a few dozen to ~1,000 daily users. Also shipped ad-traffic attribution analytics with UTM and referrer parsing.

Stack: Node