Eugene L.

Co-Founder

San Antonio, Texas, United States6 yrs 5 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Reduced API latency from ~260ms to ~19ms.
  • Scaled fintech infrastructure from 0 to 100K MAU in ~3 months.
  • Integrated AI tooling into engineering workflows.
Stackforce AI infers this person is a Backend Engineering Expert in Fintech and SaaS with a focus on performance and scalability.

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Skills

Core Skills

Backend ArchitecturePostgresqlFintechDistributed SystemsApi SecurityPerformance EngineeringBackend Development

Other Skills

Leading Development TeamsCI/CDAI-assisted engineeringRubyRuby on RailsAPI DevelopmentObservabilityMySQLMonitoringAWSCompound AI SystemsFractional CTOAmazon Web Services (AWS)Payment SystemsScalable Architecture

About

Lead Backend & Platform Engineer with 9+ years of experience building scalable production systems in fintech, SaaS, security, and growth products. I specialize in backend architecture, PostgreSQL performance, distributed systems, async processing, and reliability engineering for environments where latency, scale, and operational stability directly affect business outcomes. My work sits at the intersection of backend engineering, platform reliability, and AI-assisted development. I’ve built systems serving 10M+ users and 8–10M requests/day, fintech infrastructure processing thousands of transactions daily, API security platforms, and distributed pipelines for high-load production use. Selected outcomes: Reduced API latency from ~260ms to ~19ms on endpoints executed 1M+/day, contributing to ~32% retention growth Reduced transaction-heavy API latency from ~410ms to 3–5ms through PostgreSQL optimization Scaled fintech infrastructure from 0 to 100K MAU in ~3 months with ~99.99% automated transaction processing Improved payment reliability from ~5% failure rate to <0.5% using async recovery and observability improvements Reduced app load time from ~12s to <300ms by redesigning backend data access patterns Recently I’ve been integrating LLMs and AI tooling into engineering workflows to accelerate delivery, improve code review throughput, and increase engineering leverage in mature systems. I’m especially interested in scalable backend and platform systems, infrastructure-heavy products, fintech, developer tooling, and AI-native engineering organizations. If relevant, message me with “19ms matters”.

Experience

6 yrs 5 mos
Total Experience
1 yr 9 mos
Average Tenure
1 yr
Current Experience

Menhausen

Founding Product Engineer | Backend & AI Systems

Jun 2025Present · 1 yr · Greater Tampa Bay Area · Remote

  • Took over a non-functional MVP and rebuilt core backend, sync, and frontend architecture into a production-ready system capable of stable real-world usage
  • Reduced initial application load time from ~12–13s to <300ms (~40× improvement) by consolidating fragmented client-server communication into a single optimized SQL-backed endpoint
  • Refactored and stabilized a fragmented 100K+ LOC codebase, eliminating architectural entropy and enabling predictable iteration velocity under active product development
  • Designed privacy-first sync architecture using Supabase, enabling reliable cross-device usage while keeping sensitive mental-health data local by default
  • Built analytics and experimentation infrastructure (PostHog, event pipelines, onboarding funnels), enabling product decisions based on behavioral data instead of assumptions
  • Introduced CI/CD, automated testing, observability, and production delivery workflows, enabling fast iteration without sacrificing operational stability
  • Leveraged AI-assisted engineering workflows (Claude Code, Cursor) to accelerate large-scale refactoring, architecture exploration, and code review throughput across a rapidly evolving codebase
  • Re-architected frontend state management across 150+ files, eliminating unnecessary re-renders and significantly improving UI responsiveness and maintainability
  • Operated as technical partner to product, translating ambiguous product ideas into scalable engineering systems and measurable user-facing outcomes
PostgreSQLLeading Development TeamsBackend Architecture

Stealth fintech startup

Lead Backend Engineer | Fintech Infrastructure

Sep 2024May 2025 · 8 mos · Remote · Remote

  • Architected and launched fintech backend infrastructure supporting growth from 0 → 100K MAU in ~3 months under rapidly increasing transaction volume
  • Designed fault-tolerant USDT (TRC-20) transaction pipelines with idempotent processing, reconciliation safeguards, and asynchronous recovery flows, scaling from ~300 to 5,000+ deposits/day
  • Reduced transaction-heavy API latency from ~400–500ms to 3–5ms (~100× improvement) by redesigning PostgreSQL query execution paths, indexing strategy, and ORM boundaries
  • Built near-fully automated financial processing infrastructure (~99.99% automation rate), minimizing manual operational overhead under high-growth conditions
  • Improved payment reliability from ~5% failure rate to <0.5% using callbacks, monitoring, health checks, and async recovery mechanisms protecting revenue-critical flows
  • Designed referral and reward infrastructure used by 50K+ users, contributing to rapid user growth and significantly higher retention among referred cohorts
  • Introduced observability, deployment safety, and operational monitoring practices into a fast-moving financial environment with high reliability requirements
RubyRuby on RailsFinTechDistributed Systems

Wallarm: api security leader by g2

Senior Backend Engineer | API Security Platform

Jan 2023Mar 2024 · 1 yr 2 mos · San Francisco Bay Area · Remote

  • Built and evolved backend systems for enterprise API security infrastructure operating under strict reliability and scalability requirements
  • Designed and launched API security policy management workflows, enabling enterprise customers to configure and operate API protection at scale
  • Improved observability and security signal clarity, reducing operational blind spots and accelerating incident investigation workflows
  • Bridged API security and billing systems to support monetization of subscription-based security capabilities
  • Reduced operational friction in distributed backend workflows by improving test infrastructure, container startup performance, and service coordination reliability
  • Contributed to event-driven architecture initiatives improving scalability of asynchronous security processing pipelines
  • Coordinated cross-service backend releases across API, billing, and security infrastructure in a distributed engineering environment
API DevelopmentRubyAPI SecurityBackend Architecture

Andersen lab

Senior Backend Engineer | High-Load Fintech Systems

May 2022Dec 2022 · 7 mos · Tblilisi, Georgia · Remote

  • Stabilized and optimized high-load fintech infrastructure supporting auto-loan processing workflows under strict reliability requirements
  • Reduced system downtime by ~15% through monitoring improvements, failover hardening, and targeted production code audits
  • Improved API response times by ~25% via PostgreSQL query profiling, caching strategies, and execution-plan optimization
  • Resolved complex legacy-system failure scenarios, reducing manual operational workload by ~10 engineering hours per incident across multiple markets
  • Took ownership of production-critical backend issues in a constrained legacy architecture environment, delivering reliable fixes under operational pressure
RubyMySQLFinTechPerformance Engineering

Appbooster

2 roles

Engineering Manager / Lead Backend

Promoted

Oct 2020Apr 2022 · 1 yr 6 mos · Samara, Russia

  • Led backend engineering for a high-load platform serving 10M+ users and ~8–10M requests/day under burst-heavy traffic patterns
  • Improved critical API latency from ~250ms → ~20ms on endpoints executed 1M+ times/day by redesigning PostgreSQL queries, indexing strategy, and data-access patterns
  • Increased user retention by ~30–33% by eliminating backend performance bottlenecks in critical engagement flows
  • Designed scalable device-centric identity infrastructure reducing multi-account abuse and protecting acquisition-driven revenue streams
  • Built server-side attribution and analytics pipelines enabling marketing optimization across large-scale paid acquisition systems
  • Stabilized asynchronous event processing under high-load conditions through Sidekiq orchestration, worker isolation, and queue-performance optimization
  • Improved AWS deployment reliability and release safety through rollout automation, autoscaling improvements, and infrastructure hardening
  • Led cross-functional engineering team of 10+ people, improving technical quality, delivery predictability, and operational ownership across backend systems
Ruby on RailsRubyBackend ArchitecturePerformance Engineering

Ruby Developer

Aug 2018Oct 2020 · 2 yrs 2 mos · Samara, Russia

  • Promoted from junior to senior within 1 year based on performance and ownership in production systems
  • Identified and resolved critical database bottlenecks, improving query performance and overall system responsiveness under real usage
  • Contributed to internal engineering practices, documenting solutions and sharing performance optimisation approaches across the team
RubyPostgreSQLBackend Development

Education

Novosibirsk State Technical University (NSTU)

Computer complexes — systems and networks

Jan 2001Jan 2004

Ural State University named after A.M.Gorky

Computer science in economics

Jan 2004Jan 2008

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