System thinking
Architecture decisions are made around load, ownership, observability, and future change.
Available for senior product and platform work
Senior Software Engineer
Vosiev
I build production-grade web platforms, APIs, and Telegram products that feel fast, reliable, and finished.
From architecture to deployment, I focus on clean ownership, measurable performance, and interfaces people can trust on the first visit.
High-load APIsTelegram productsAutomationCloud architecture
10M+requests/day architecture experience
Python / Go / Rustbackend depth with modern React frontends
Docker-firstdeployable systems, not just screens
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Profile
About Me
I'm a software engineer with a background in competitive chemistry. My journey from winning olympiad medals to building distributed systems taught me that great solutions require both analytical rigor and creative thinking.
I focus on Python, React, Go, Rust, and cloud architecture, building applications that scale to millions of users while maintaining clean, maintainable code.
Product finish
Interfaces, validation, loading states, and edge cases are treated as part of engineering quality.
Shipping discipline
Docker, environment design, and deployment paths stay clear enough for real operations.
Systems thinking
How It All Connects
From product surface to data layer — each tier is designed for clarity, typed contracts, and practical scaling paths.
01
Product Surface
Server-rendered React with motion choreography, theme system, and responsive design that communicates trust.
Next.js / ReactFramer MotionTailwind CSSTypeScript
02
API Gateway
Typed endpoints with validation, rate limiting, and auth — designed for predictable behavior under load.
FastAPIREST / WebSocketAuth & Rate LimitValidation
03
Service Layer
Background processing, bot systems, and notification pipelines built for reliability and operational clarity.
Go / Rust WorkersQueue ProcessingTelegram BotsEmail Service
04
Data & Infrastructure
Relational storage with query optimization, caching layer, containerized deployment, and observability.
PostgreSQLRedis CacheDocker / CI/CDMonitoring
Every layer is containerized, typed, and deployable independently.
Selected work
Projects With Delivery Signals
Each project shows the product problem, engineering stack, and a concrete delivery angle.
ExamPro.ru
Online exam preparation platform for migration, driving, medical accreditation, and university entrance tracks.
Structured learning platform with backend, content, and product workflows.
PythonFastAPIReactPostgreSQLRedis
LifeScape
Telegram Mini App life simulator with a Rust backend for predictable state-heavy interactions.
Rust service architecture for a state-heavy interactive product.
Rustactix-webTypeScriptReactMongoDB
PUBG UC Store Bot
Telegram commerce bot for PUBG Mobile goods, order flow, operator tooling, and payments-ready structure.
Commerce automation with practical operator workflows.
GoTelegram Bot APIPostgreSQLRedis
Portfolio
Public engineering profile with Next.js, Framer Motion, FastAPI contact backend, VOSIEV Mail, and Docker deploy.
Professional presentation with real backend integration.
Next.jsTypeScriptFramer MotionFastAPI
Custom Engineering
Custom web apps, Telegram bots, APIs, and automation for startups, agencies, and internal systems.
Discovery, architecture, implementation, deployment, and handoff.
PythonReactGoDockerAWS
How I work
Experience Without Empty Labels
The real signal is whether the work survives traffic, handoff, and production reality.
Production Architecture
High-load APIs, queues, and data systems
Designing services that stay understandable after deployment: clear boundaries, typed contracts, observability, and practical scaling paths.
- FastAPI and PostgreSQL services with clean validation and operational defaults
- Dockerized environments that move from local work to server deployment
- Async workflows prepared for queues, notifications, and background processing
Product Engineering
Web platforms and Telegram products
Building products where backend reliability and frontend polish meet in one workflow.
- Contact and notification systems integrated with Telegram and VOSIEV Mail
- Responsive React/Next.js interfaces with validation, language, and motion states
- Commercial bot and platform flows designed around real users and operators
Performance Mindset
Python, Go, Rust, TypeScript
Choosing tools by system pressure: Python for speed, Go for services, Rust for correctness, TypeScript for product surfaces.
- Backend services with simple contracts and predictable deployment
- Frontend surfaces that communicate trust before the full page is read
- Automation and bot systems that reduce manual work
Technologies I Work With
A compact stack for shipping reliable products without unnecessary weight.
Get in Touch
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