ASArsenii Sazanov
/
Saint Petersburg · distributed systems

Senior software engineer · architect · backend / devops

Arsenii
Sazanov

I build systems that keep moving when the load gets real.

Go and Python engineer with 10+ years across fintech, healthcare, city infrastructure and event-driven platforms. I turn ambiguous, high-stakes problems into observable systems teams can operate.

Arsenii Sazanov
GOevent.router
POST/v1/claims
ACKpayment.settled

simulated system traffic

100M+
logs / dayreporting platform architecture
30M+
bank customersproduct analytics systems
10+
years in engineeringbackend, architecture, DevOps
2024
HighLoad++ speakertraffic control from zero to pilot

Selected systems

Scale is not a number. It is a design constraint.

Four contexts where architecture had to survive real-world complexity: city traffic, medical payments, event streams and product analytics.

01City-scale systems

Intelligent traffic control

Led architecture and delivery of a Moscow traffic-control pilot: from team and stack selection to deployment in selected city areas. The three-year system journey combined Go, PostgreSQL, NATS, Kubernetes and ML.

GoNATSPostgreSQLKubernetesML
View talk
02Healthcare infrastructure

Payments, claims and protected data

Architected backend and DevOps foundations for US Revenue Cycle Management: payment posting, claim submission, denial management and security-first PHI de-identification for analytics.

PythonDjangoRabbitMQPostgreSQLAWSTerraform
NDA · SYSTEM OVERVIEW
03Event-driven platforms

100M+ log reports every day

Designed a reporting platform for 100M+ daily log records and an identity-provisioning service integrating Box, Salesforce, Slack, Sumo Logic, Splunk and other providers.

GoKafkaOpenSearchPostgreSQLAWS
NDA · SYSTEM OVERVIEW
04Fintech analytics

High-load product intelligence

Built microservices and reliability practices for product analytics inside a remote bank serving more than 30 million customers — architecture decisions, ADR/RFC, profiling, CI/CD and observability.

GoPythonClickHouseRedisKubernetesELK
NDA · SYSTEM OVERVIEW

Measured results

Resume facts, compressed into outcomes.

The common shape across the work: design the system, make it observable, automate delivery, and keep the operational model understandable.

HIPAA

Security-first medical data

Built PHI de-identification tools for analytics while preserving data utility in US healthcare workflows.

100M+

Daily report logs

Designed a report-log platform with Sumo Logic, Splunk and other provider integrations.

30M+

Bank customers

Developed high-load product analytics services for a remote bank at national scale.

Let's Encrypt

Hosting automation

Built Go services for certificate lifecycle automation, WHOIS proxying, monitoring and blacklist checks.

ML

Traffic and AppStore intelligence

Applied ML in intelligent traffic control research and app classification / clustering pipelines.

NDA

Cross-domain delivery

Delivered architecture and backend work across regulated, high-load and confidential domains.

Domains & NDA work

Different industries, similar engineering pressure.

Many projects cannot be described in full detail, but the domains matter: regulation, integrations, reliability, legacy constraints and real operational cost.

Gov transportMoscow Traffic CenterMoscow MetroHealthcareFintechAdTechHostingDatingDefense / militaryCrypto paymentsFiat gatewaysHFT arbitrageIndoor AdTech deviceIdentity provisioningHR / AI talent SaaSNDA
01

Architecture consulting

Consulted and designed systems for Moscow Traffic Center and Moscow Metro contexts: traffic-control architecture, integration boundaries, operational constraints and delivery planning.

02

Real product prototypes

Built or explored YouTube-like streaming, crypto/fiat gateways, crypto payments, HFT arbitrage mechanics and an indoor AdTech device concept.

03

NDA-heavy delivery

A large part of the work is confidential: backend architecture, integrations, DevOps, observability and reliability work where the domain matters as much as the code.

Experience

From industrial automation to systems architecture.

A compressed timeline. The common thread is ownership: architecture, delivery, observability and the conversations that keep them aligned.

01

Senior Software Engineer · Backend + DevOps

Anagram · USA · Remote

High-performance medical billing, PHI de-identification, observability and infrastructure automation.

02

Lead Software Engineer

Smartbrain.io · Japan · Remote

Identity provisioning and 100M+ daily report-log architecture with multi-provider integrations.

03

Senior Software Engineer

Tinkoff Bank

High-load product analytics, microservices, profiling, high availability and CI/CD.

04

Team Lead · Solution Architect · Lead Engineer

Moscow Traffic Center · QuantumSoft

Intelligent traffic-control pilot, green-finance platform and AI-driven talent products for international teams.

05

Backend → Leading Software Engineer

PropellerAds · BeGet · RBC · Indusoft

High-load advertising, hosting infrastructure, anti-spam services, ETL/ML and industrial automation.

Open source

Code that shows the thinking.

Public repositories focused on Go, messaging and application design.

All public work on GitHub

Talk

How to run a megacity without SMS and registration

HighLoad++ 2024 talk about building a new intelligent traffic management system for Moscow: Go, PostgreSQL, NATS, Kubernetes, ML and the path from zero to pilot.

PhD results

Research that reached a working traffic-control system.

Candidate thesis work on intelligent control of high-intensity traffic flows: formal models, architecture, synchronization algorithms, RL strategy generation and real pilot validation.

Theseus

Intelligent traffic management architecture

A problem-oriented microservice structure with an RL/ML block, unified controller protocol, shared data bus and scenario knowledge base.

100

Traffic lights in pilot operation

Moscow and New Moscow pilot: 100 controlled traffic-light objects, 24/7 operation across 720 days, zero incidents related to the system.

1s

System time quantum

A decentralized phase-synchronization method for coordinated routes, normal operation and emergency modes with proven convergence assumptions.

8 / 16

Protocols and controller vendors

Universal driver layer for a heterogeneous road-controller fleet: 8 controller protocols and 16 controller manufacturers in the implementation scope.

32.7%

Fewer stops in SUMO experiments

A two-loop RL/DQN method with hourly strategy distillation reduced average stops in simulations on real Moscow intersections.

7 + 3

Publications and software registrations

Defense materials list 7 scientific publications, including IEEE and VAK journals, plus 3 state software registrations.

Research & speaking

Engineering practice, explained and tested.

Traffic-control research, two degrees with honors, ongoing doctoral work and a HighLoad++ talk about taking a complex city system from zero to pilot.

MSc, Embedded Intelligent Control Systems · GPA 4.9/5 · BSc, Automation and Management · GPA 5/5

Traffic control lab

Click the signals. Keep the city moving.

A small playable model of the traffic-control problem: demand patterns shift, vehicles queue on red, and every phase decision changes throughput.

Click traffic lights A, B or C

Contact

Building something that must stay fast, observable and sane?

I am interested in architecture, backend and platform challenges where reliability matters and the problem is worth understanding deeply.