Yaroslav Tretyakov

Yaroslav Tretyakov

Backend Systems Engineer & Founder

Toronto, Canada

yaroslav@effix.com

(416) 828-9281

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Overview

Engineer with 15+ years of building high-performance systems and startups. Experienced in designing distributed backend architectures, data pipelines, and compliance automation platforms.

What I Do, and Love Doing

  • Design and build scalable APIs and data pipelines for high-volume systems
  • Dive deep into complex systems to understand and solve for them
  • Build infrastructure for compliance-heavy domains
  • Ship rapidly

Currently working on

FleetFalcon

FleetFalcon

Founder and CTO

Designed and built a compliance automation platform for trucking companies that continuously validates the company's regulatory standing across documents, operations, and government systems.

  • • Integration with legacy (often paper-based) government systems
  • • Backend pipelines for ingesting regulatory documents from numerous sources
ARMS AI

armsAI

Founder and CTO

Designed and built an AI-assisted safety risk analysis platform that ingests organizational documentation and produces structured risk assessments.

  • • Document ingestion for large safety and regulatory datasets
  • • Converting massive standards (e.g. ISO 45001), laws and regulations into a knowledge-graph models for AI to reason over

Past Experience

Effix

Effix Solutions

Founder and CTO · Jan 2016 – Feb 2025

Architected, built and operated a large-scale commerce and advertising infrastructure connecting high-volume user traffic with partner marketplaces.

  • • Operated a 24/7 high-availability system that routed significant user traffic and generated $100M+ in partner sales
  • • Designed distributed backend systems integrating continuously changing product catalogs, pricing feeds, and PPC bidding feeds in 15+ geos
S&P Capital IQ

S&P Capital IQ

Software Engineer · Nov 2012 – Jan 2016

Worked with financial engineers and quantitative teams to build backend systems aggregating large volumes of financial market data and supporting analytical workflows used by institutional investors.

  • • Built backend services ingesting and normalizing financial data from numerous external and internal data providers
  • • Collaborated with financial engineers and quantitative analysts to implement scenario-based analytics used for portfolio modeling and investment analysis
Rakuten Kobo

Rakuten Kobo

Software Engineer · Jul 2012 – Nov 2012

Built and maintained backend services for the API team, integrating with dozens of hardware client systems across the e-reading platform.

Research Now

Research Now

Software Engineer · Sep 2011 – Jul 2012

Maintained and improved a platform that integrated with survey respondent panels, processed large-scale survey datasets, and enabled interactive reporting dashboards for end users.

Core Systems Experience

  • Distributed backend architecture
  • Event-driven systems and asynchronous workflows
  • Large-scale external API integrations
  • High-availability production systems (24/7 services)
  • Domain-driven system design for regulated environments
  • AI-assisted data processing systems
  • Real-time decision and routing systems

Education

BSc Computer Science
Lomonosov Moscow State University · 2006 – 2010