Open to opportunities

Максим Гребенщиков

@0004716

Message

I build scalable Python backend platforms, APIs, integrations, and AI-powered automation.

Zimbabwe

Message

What I'm looking for

I'm looking to build scalable backend platforms, AI/LLM products, integrations, and production systems where I can contribute to architecture, legacy migration, and reliable delivery.

I've built backend platforms and AI-powered automation at Aigency and Perfect Pavers, delivering REST APIs, integrations, and production services for e-commerce, CRM, marketing, and corporate products.

At Aigency, I delivered more than 20 business modules and integrations with FastAPI and Django. I reduced external-system onboarding time by 40%, cut critical database-operation time by up to 50%, and automated internal processes with n8n, reducing manual work by more than 60%.

At Perfect Pavers, I developed 15+ automation services for marketing, analytics, and customer support, integrated AWS, GoHighLevel, Jobber, Slack, Google Docs, and Google Sheets, and improved key API response times by 35%.

I've also led backend architecture work for #sekta v.2, migrating a production platform from excessive microservices to a Django modular monolith, and built CRM, messaging, delivery, and AI-assistant services using Django, FastAPI, Kafka, Celery, Redis, and LLMs.

Experience

Work history, roles, and key accomplishments

Senior Python Developer

Aigency

Nov 2024 - Jul 2026 (1 year 8 months)

Developed backend applications and REST APIs using Python (FastAPI, Django), implementing over 20 business modules and integrations. Optimized SQL queries and storage structures, reducing execution time for the most loaded operations by up to 50%.

Python Django fastAPI PostgreSQL SQLAlchemy Celery Redis REST APIs Docker CI CD N8n

Middle Python Developer

Perfect Pavers

Jun 2023 - Oct 2024 (1 year 4 months)

Developed and improved an internal backend platform, implementing over 15 automation services for marketing, analytics, and customer service. Optimized backend performance, reducing average response time of key APIs by 35%.