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IdeasSystemsImpact

Vladyslav Benkovskyi

Staff Data-Intensive
Backend Engineer

pythongolangai pipelinesdistributed systemsfintech

  • Scalable
    Systems
  • Real-world
    Data
  • AI
    Applications
  • Fintech
    Impact
Let's talk View my work

About

I build data-intensive
systems that scale
businesses.

I'm a Staff Backend Engineer with 10+ years of experience building high-load, data-intensive systems in fintech and beyond. I design and deliver reliable, scalable platforms that turn complex data into real business value.

10+
Years of
Experience
20+
Projects
Delivered
High-load
Production
Systems
Global
Remote
Collaboration

Expertise

View all skills

End-to-end backend systems
for real-world impact.

"Tools change.
Good systems
last."

Scalable
Reliable
Secure
Impactful

Python

Backend • APIs • Async

  • FastAPI • Django
  • AsyncIO • Pydantic
  • SQLAlchemy • Alembic
  • High-performance APIs

Golang

Services • Performance

  • gRPC • Gin
  • Microservices
  • Concurrent systems
  • Performance & reliability

AI Pipelines

LLM • RAG • Data

  • RAG pipelines
  • Data processing • MLOps
  • Vector databases
  • Real-world AI applications

Distributed Systems

Events • Streaming • Data

  • Kafka • ClickHouse • PostgreSQL
  • Event-driven architectures
  • Data pipelines • CDC
  • Consistency & scalability

Fintech

Payments • Compliance

  • Payments • Ledgers • KYC
  • Regulatory compliance
  • High-load financial systems
  • Secure & reliable platforms

Cloud & DevOps

Infrastructure • Observability

  • AWS • GCP • Docker • Kubernetes
  • Infrastructure as code
  • Monitoring & observability
  • CI/CD • Reliable deployments

Selected work

Selected work.
Real systems. Real impact.

tacticstrade.ai

AI-first backtesting and research platform for crypto and prediction markets. Test any strategy on historical data and turn the result into an edge.

  • Rust
  • Python
  • ClickHouse
  • Trading
View project

Layerbridge

Polyglot event bridge — one Bridge API and one wire contract across six language SDKs, over AMQP, Kafka or Redis, with infinite reconnect and a shared outbox.

  • Python
  • Rust
  • C
  • Event-driven
View project

claudebase

Local infrastructure for LLM agents: hybrid retrieval over your books, cross-session memory, and a daemon that reaches agents over Telegram, callbacks and each other.

  • Rust
  • SQLite
  • RAG
  • Agents
View project

Experience

A proven track record.

From early-stage to large-scale systems, always focused on impact.

  1. 2024 — Present Staff Data-Intensive Backend EngineerTacticstrade.ai · Fintech Neo-banking platform architecture, then sole backend owner of an AI prediction-market platform.
  2. 2019 — 2024 Senior Backend EngineerPayments · Gaming · ML Integrations with 40+ payment providers and banks, custodial ledgers, and ETL for ML-heavy products.
  3. 2017 — 2018 Middle DeveloperProject-based Schemas, APIs, background jobs and async transaction logic for client products.
  4. 2015 — 2017 Junior DeveloperEarly career Backend systems across healthcare, e-commerce and trading.

Let's connect

Let's build something
meaningful together.

I'm open to staff-level opportunities, interesting projects and conversations about systems, data and impact.

Get in touch View resume
Global collaboration. Remote friendly.