🇷🇺 Резюме на русском: career.habr.com/mtizima
Backend engineer and engineering leader with 17+ years of experience, the last 5 as Tech Lead / Engineering Manager for FemTech and FinTech products serving 200K-500K+ active users. I design event-driven, horizontally scalable systems, build engineering teams from zero, and ship infrastructure that stays fast under real production load.
- 🏗️ Architecture: event-driven microservices, hexagonal architecture, zero-downtime Kubernetes migrations, monoliths when that's the correct call
- 👥 Leadership: hired and mentored teams up to 12 engineers across 4 time zones, grew 4 Middle engineers to Senior on my last team
- ⚡ Impact: cut API latency 200ms → 120ms, doubled delivery velocity, sped up release cadence 30%, shipped real-time analytics for 200K+ users
- 🤖 AI-native engineering: spec-driven development with Claude Code, production LangChain/LangGraph agent workflows
| Languages & Runtime | Python (asyncio), Go, Node.js |
| Backend & APIs | FastAPI, Django, Flask, aiohttp, aiogram, REST |
| Data & Messaging | PostgreSQL, ClickHouse, MongoDB, Redis, Kafka, RabbitMQ, NATS JetStream, SQLAlchemy, Elasticsearch |
| Infrastructure | Kubernetes, Docker, Terraform, Ansible, AWS, Azure, GitLab CI, Prometheus, Grafana |
| AI / LLM Tooling | Claude Code, LangChain, LangGraph, OpenAI API, spec-driven development |
Founder & Fullstack Engineer · 2026-present · task24.online
A production SaaS built on one idea: one Telegram supergroup = one team, one topic = one task. Tasks are created by voice message, transcribed, reformatted, and titled through an LLM pipeline, with automatic topic creation, a closed-task archive, weekly AI-generated performance summaries, and recurring billing via Telegram Stars, bank cards, and SBP.
- Event-driven architecture: the API publishes to NATS JetStream; isolated FastStream workers run the full voice-to-task pipeline
- Analytics subsystem built on atomic incremental SQL instead of ORM read-modify-write, with materialized views and a log-based fallback recompute
- Application-level envelope encryption (AES-256-GCM) for user content, applied transparently via a SQLAlchemy
TypeDecorator - Recurring Telegram Stars billing and a rate-limited broadcast pipeline built around Bot API limits
- Built iteratively with Claude Code as a pair-engineering partner: spec first, reviewed, then shipped
Python 3.12 FastAPI aiogram 3 FastStream NATS JetStream PostgreSQL 16 SQLAlchemy 2.0 Redis Docker OpenAI Whisper
Private repository. Architecture walkthrough available on request.
Backend Engineer (independent) · Telegram-based POS for food service
An order-lifecycle system for a food business: cashiers place orders from Telegram, kitchen staff get real-time notifications, and the product catalog imports from CSV. Built end-to-end with Claude Code, from spec and implementation plan through production deploy and bug fixes.
- Order lifecycle service (create → ready → issued) with per-recipient notification isolation, so one unreachable chat never blocks the rest of the kitchen
- SQLAlchemy models for products and orders, CSV catalog ingestion with validation
- Deployed on Render with managed Postgres
Python aiogram SQLAlchemy PostgreSQL Render
Private repository. Architecture walkthrough available on request.
Tech Lead · Python, Flutter, FastAPI · 200K+ active users
- Led a zero-downtime migration to Kubernetes, raising platform availability from 60% to 80%
- Migrated Sanic → FastAPI, cutting p50 response time 200ms → 120ms while doubling delivery speed
- Integrated PowerBI + Grafana for real-time analytics across 200K+ active users
- Restructured code review and CI/CD, increasing release velocity by 30%
Head of Python Development → Tech Lead · scaled to 500K+ users
- Designed a scalable architecture for medical data processing on Django + FastAPI, lifting throughput 50%
- Built a backend team from scratch: hired, onboarded, and mentored engineers to Senior level
- Promoted to Tech Lead for an international 12-person team (mobile, QA, DevOps, backend) across 4 time zones
- Rebuilt the backend on Django + Redis microservices, tripling throughput
Head of Python Development · 2021 · litres.ru
- Led the migration from a legacy Perl monolith to a Python microservices architecture
- Introduced hexagonal architecture to decouple domain logic from delivery and infrastructure concerns
- Built integration services for 15+ partners
- Sped up catalog search 50% across a 1M+ book catalog using Elasticsearch
Python FastAPI MySQL ClickHouse Kafka Elasticsearch Kubernetes
Senior Python Developer · 2018-2021 · anna.money
- Led a team of 5 building antifraud and AML (anti-money-laundering) services for live transaction flows
- Coordinated integrations with external providers including Global Processing Services and Dow Jones
- Owned technical design end-to-end on asyncio/aiohttp, Kubernetes/Mesos, and RabbitMQ messaging
Python asyncio aiohttp PostgreSQL Kubernetes RabbitMQ MongoDB
adjust-client: Python client for the Adjust.com server-to-server (S2S) event API.
Open to Tech Lead / Staff Engineer roles, remote-first, worldwide.




