Languages & Frameworks
- Java 8-21
- Kotlin
- Spring Boot
- Spring Framework
- Spring Cloud
- Spring Security
- Spring Data / MVC / Web
- Hibernate / JPA
- REST API / OpenAPI
- gRPC
- SQL
Senior Java / Kotlin Backend Engineer & Architect
Distributed Systems - Kafka - Cloud Architecture
Based in Argentina - international remote contracts, any time zone (CET-friendly). Registered monotributista - invoices clients directly.
I design and build high-load distributed backends on Java, Kotlin, and Spring, and own delivery to production end-to-end - architecture, services, data, infrastructure. I turn technical decisions into business outcomes: lower operating cost, faster decisioning, and scale without proportional infrastructure growth. Full-stack (React / Next.js) and AI / IoT integration come as a bonus on top.
- Java, Kotlin, Spring; Kafka and event-driven microservices
- Real-time IoT and ML pipelines, edge-to-cloud ingestion
- AI integration with Claude, Claude Code agents, and MCP
18+ years in tech, 8+ in high-load systems across FinTech, IoT, and SaaS.
Technical Skills
Backend, distributed systems, and infrastructure first - with AI agents and IoT as the differentiators.
Architecture
- Microservices
- Event-Driven
- DDD
- CQRS
- Reactive systems
- System design
- High-load / distributed
- Legacy modernization
Databases & Storage
- PostgreSQL
- MySQL
- Oracle DB
- MongoDB
- Elasticsearch
- ClickHouse
- TimescaleDB
- Redis
- PostGIS
- S3 / MinIO
Streaming & Messaging
- Apache Kafka
- RabbitMQ
- NATS
- SSE / streaming
- ~99.9% delivery guarantees
Infrastructure & DevOps
- Kubernetes
- Docker
- Helm
- AWS
- GCP
- CI/CD (GitLab CI, Jenkins)
- Linux
- Keycloak
- Nginx
- Prometheus / Grafana / Loki
Build & Testing
- Apache Maven
- Gradle
- JUnit
- Mockito
- Testcontainers
- Liquibase / Flyway
- Git
- Agile / Scrum
Security
- OAuth2 / JWT
- RBAC
- Security audit
- OWASP hardening
IoT & Real-Time (domain)
- MQTT
- Modbus
- OPC UA
- CoAP
- NMEA 0183 / 2000
- Edge-to-cloud
- Sensor ingestion (1,000+ tags/sec)
- Time-series storage
- Telemetry pipelines
- Offline buffering / zero data loss
AI & ML (domain)
- Claude / Claude Code
- Agentic workflows
- MCP servers
- LLM APIs (Anthropic, OpenAI)
- RAG pipelines
- ML integration (scoring, anomaly detection)
- Token budgets, evals, guardrails
Also (full-stack)
- React
- Next.js
- TypeScript
- Tailwind CSS
- Node.js
Services
Six focused engagements - each solves one real problem. Pick what fits your situation and send a brief.
Backend & Microservices Development
Build high-load, distributed backends end-to-end - from architecture to production, not just code.
- Event-driven microservices: Java / Kotlin, Spring Boot, Kafka, gRPC, REST
- Data layer that scales: PostgreSQL, Redis, ClickHouse / TimescaleDB, indexing, caching
- Production-ready: tests, CI/CD, observability, zero-downtime rollout
Architecture & System Design
Design systems that survive scale - microservices, event-driven, fault-tolerant, high-load.
- Domain decomposition: DDD, CQRS, service boundaries, data ownership
- Monolith to microservices: strangler-fig, zero-downtime migration
- Resilience: idempotency, backpressure, failure handling, SLAs
AI & Agent Integration (Claude / Claude Code / MCP)
Ship Claude-powered features and autonomous agents into your product in weeks, not quarters.
- Claude API: streaming, tool use, prompt caching, cost controls, fallbacks
- Custom MCP servers and Claude Code agents wired into your tools and data
- RAG, ML inference, and guardrails: token budgets, PII scrubbing, evals
IoT & Real-Time Data Platforms
Turn sensor and event streams into reliable, real-time insight - edge to cloud.
- Ingestion over MQTT / Modbus / OPC UA: 1,000+ tags/sec, time-series storage, zero data loss
- Edge-to-cloud architecture, offline buffering, anomaly detection, ML scoring
- Streaming pipelines on Kafka / NATS with SSE delivery to dashboards
Legacy Rescue & Modernization
Inherit codebases nobody wants to touch - and bring them back to life without a full rewrite.
- Full audit: dependencies, CVEs, dead code, DB hotspots, deploy pipeline
- Incremental upgrades: Java 8 to 21, Spring 3 to 6, monolith to services
- Characterization tests before refactor, zero-downtime strangler-fig rollout
Architecture Review & Audit
An outside senior engineer tells you exactly what is wrong and what to do about it.
- System map: services, data flow, integrations, trust boundaries
- Code-level findings: N+1 queries, missing indexes, race conditions, security holes
- Prioritized roadmap: P0 this week, P1 this quarter, P2 this year
Case Studies
Three production systems built end-to-end. Architecture, backend, frontend, and deployment.
IoT / Real-time Analytics / Fleet Management
NauticScope - Maritime Analytics Platform
Problem
Commercial fleet operators had no unified view of vessel telemetry, AIS feeds, or weather data. Sensor volume exceeded what off-the-shelf tools could handle without data loss during connectivity drops.
Solution
Built an edge-to-cloud platform from scratch: 33 microservices ingesting 1,000+ sensor tags per second over MQTT, Modbus, and NMEA, with ETA prediction, anomaly alerts, and fuel-optimization insights delivered to ops teams in real time. Gives operators a single real-time view and removes the operational blind spots that drive avoidable cost.
KotlinSpring BootMQTTModbusNMEA 0183/2000NATSKafkaTimescaleDBPostgreSQLPostGISMongoDBReactTypeScriptGo (edge agent)
Result
1,000+ sensor tags/sec sustained throughput, zero data loss during connectivity drops, 33 microservices in production.
Healthcare / SaaS + On-Premise / Multi-product
AssayCore - Laboratory Information System (LIMS)
Problem
Lab software vendors forced labs into a single product that could not serve the workflow differences between medical, food safety, beauty, and microbiology labs. Multi-tenant SaaS and isolated on-premise deployments needed to coexist.
Solution
Designed a shared core platform supporting 8 domain modules (Medical, Food safety, Cosmetics, Microbiology, and more) with a Tauri desktop client for air-gapped networks - one platform instead of separate builds. Covered the full sample lifecycle: intake to signed report, instrument integrations, role-based access, audit log, and result analytics.
KotlinSpring BootHibernateReactTypeScriptMUIPostgreSQLMongoDBKafkaTauri
Result
8 domain modules shipped on a shared core, supporting both multi-tenant SaaS and on-premise isolated deployments.
Fintech / Lending / Real-time Decisioning / SaaS
FinCore_Engine - Credit Scoring & Decision Engine
Problem
The lending platform's scoring system was a bottleneck: slow decisioning, no audit trail for regulators, and risk analysts had no tooling to tune rules or override approvals.
Solution
Production-grade credit scoring module with a pluggable rule engine, credit-bureau integrations, and idempotent payment workflows. Speeds up lending decisions and keeps a regulator-ready audit trail; explainable decisions ship with full factor breakdowns. Dashboard for risk analysts covers portfolio view, rule tuning, and approval overrides.
KotlinSpring BootPostgreSQLRedisKafkaReactTypeScriptPrometheusGrafana
Result
<80ms p95 decisioning latency with full audit trail and explainable factor breakdowns.
Work Experience
NauticScope - Maritime Analytics Platform
Senior Full-Stack Engineer (Contract)
- Architected the edge-to-cloud platform end-to-end - 33 microservices, zero data loss on connectivity drops
- Built real-time ingestion of 1,000+ sensor tags/sec from vessels, plus AIS, weather, and regulatory feeds
- Designed the data and streaming layer (Kafka, NATS, time-series storage) for ETA prediction, anomaly alerts, and fuel-optimization insights
- Owned delivery from scratch: architecture, backend, frontend, and infrastructure
Integration Analytics Platform
Senior Engineer - Core Platform Architecture
- Reduced MTTR by ~30-40% with automated backup and restore via Nginx proxy (S3 storage) - less downtime and lower operational cost
- Decreased server load by ~30-50% by replacing long-polling with SSE - cut infrastructure cost at the same scale
- Built step-by-step task execution service on Kafka (~99.9% delivery guarantee)
- Implemented chunked file upload for large updates with automated release installation
- Live cluster node editing without recreation, including docker-registry nodes
- Enhanced licensing system with core/node control and automatic SSL certificate generation
Fintech Lending Platform
Team Lead / Senior Software Engineer
- Increased scoring system throughput by 2-3x through concurrent request processing - enabled lending growth without expanding infrastructure
- Reduced latency of critical operations to <80ms (Redis caching, connection pools) - faster loan decisions in the application flow
- Implemented payment idempotency - eliminated duplicate and lost transactions, preventing revenue leakage
- Developed proxy layers for payment system and credit bureau integrations
- Set up Prometheus/Grafana metrics and alerts - reduced incidents by ~30%
- Led the backend team and owned the critical scoring and payment paths: code reviews, mentoring, task decomposition, risk management
Agricultural B2B Marketplace
Engineering Team Lead
- Extracted microservices from Lagom monolith to Spring Boot - improved performance
- Designed architecture for new services and data models for key business domains
- Built backend facade for mobile app with caching; implemented push notifications (FCM)
- Led team: Scrum processes, sprint planning, code reviews, release management
Government Services Platform 2.0
Senior Software Engineer
- Reduced XML processing time by ~50% with streaming parsing to ArangoDB
- Increased test coverage from 30% to 80% on critical modules
- Built inter-agency queries and statistical reports; configured BPMN in Camunda
- Trained 8+ interns, reduced onboarding from 2 months to 2 weeks
Core Banking Platform
Software Engineer / Senior Java Developer
- Migrated legacy MS SQL system to PostgreSQL with data structure optimization
- Decomposed monolith into microservices, refactored god classes; test coverage from zero to 40%
- Optimized payment processing with parallel transaction handling
- Implemented double-entry bookkeeping with optimistic locking - eliminated race conditions
- Built async integrations with external services, Redis caching for reference data
Web Application Development
Software Developer
- Full-cycle web application development: requirements gathering, architecture, implementation, deployment
- Backend development with PHP, database design and optimization with MySQL
- Frontend development with JavaScript, jQuery, responsive layouts, cross-browser compatibility
- Server administration, deployment automation, domain and hosting management
Education & Certifications
Software Engineering
TUSUR - Tomsk State University of Control Systems and Radioelectronics
2024Download my CV
Senior Java / Kotlin Backend Engineer & Architect - 18+ years in tech, 8+ in high-load distributed systems, microservices, Kafka, and cloud architecture across FinTech, IoT, and SaaS.
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