Vladyslav Savchenko Backend · AI · Automation
Gdańsk · Remote
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[Services]

What you can hire me for.

Six directions, each backed by real systems on this site. Scope, timeline and cost are agreed after understanding your requirements — never guessed up front.

02 [Skills]

Confirmed in production.

Skills used in the systems shown here. Technologies that can be picked up for a new contract are discussed openly — not listed as years of expertise.

Backend Engineering

Services that coordinate work, talk to the outside world and keep going when it misbehaves.

  • Python
  • Async / await services
  • Backend architecture
  • REST API integrations
  • Webhooks
  • JSON processing
  • Business logic
  • Background workers
  • Scheduled jobs
  • Event processing
  • Error handling
  • State management
  • External service integrations

Database & Data

Data models that stay correct as more subsystems read and write them.

  • SQL
  • SQLite
  • Data modeling
  • Database-driven logic
  • User state persistence
  • Trading event storage
  • Data validation
  • Data integrity
  • Data pipelines
  • Reporting datasets
  • Event history
  • Structured logging

AI & Intelligent Automation

Language models where they help, deterministic rules where correctness matters.

  • OpenAI API integrations
  • LLM-assisted processing
  • Conversational AI
  • Context-aware workflows
  • AI memory
  • Hybrid AI + rules
  • AI classification & analysis
  • Structured output validation
  • Prompt-based task decomposition
  • Model response validation
  • AI workflow engineering

Applications & Interfaces

Interfaces that make complex backend state understandable.

  • Telegram Bot API
  • Telegram Mini Apps
  • Web interfaces
  • HTML, CSS, JavaScript
  • Responsive design
  • SVG visualisations
  • Multilingual UI
  • Subscription interfaces
  • Admin panels
  • Mobile WebView
  • Onboarding flows

Trading & Financial Automation

Market data, signals and risk controls — engineered, not promised.

  • Binance Futures API ecosystem
  • Crypto market data
  • Signal generation
  • Market condition analysis
  • Risk validation
  • Entry / SL / TP logic
  • Position tracking
  • Signal lifecycle
  • Trading analytics
  • Outcome reporting
  • Leverage & exposure controls
  • Automated monitoring

Infrastructure & Reliability

Getting software running, keeping it observable, proving it still works.

  • Linux VPS
  • SSH
  • Deployment
  • Background processes
  • Server monitoring
  • Logs & diagnostics
  • Process lifecycle
  • Regression testing
  • Production acceptance
  • Failure investigation
  • Operational reports
  • Playwright testing

Engineering Workflow

How work gets planned, checked and shipped.

  • System architecture planning
  • Requirements analysis
  • AI-assisted implementation
  • Technical specifications
  • Source-code audits
  • Code review
  • Test planning
  • Regression analysis
  • Deployment validation
  • Incremental modernisation

03 [Process]

How a project runs.

  1. 01

    Discovery

    Understanding the task, the users, current processes and real constraints before writing code.

  2. 02

    Architecture

    Designing the main components, data structures and integrations — and how they fail.

  3. 03

    Implementation

    Building backend, interfaces and automation step by step, in reviewable increments.

  4. 04

    Validation

    Testing system behaviour, errors, states and critical scenarios, not just the happy path.

  5. 05

    Deployment

    Releasing to the right environment and checking how it actually behaves there.

  6. 06

    Maintenance

    Monitoring, diagnostics and continued development after launch.

AI-assisted development AI-assisted development is used to move faster — never as a replacement for technical control. Every change is understood, reviewed and verified.

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