📄 CV (PDF)

Go & Python Backend Engineer

Go/Python backend engineer with 4+ years of experience building microservices, automation tools, and distributed systems. Strong in Go backend development, SQL/NoSQL databases, REST/gRPC APIs, and containerization with Docker/k8s. Experienced in cloud platforms, event-driven architectures, data pipelines, and performance optimization.

Languages

Go

Python

Databases & Search

Messaging

Infrastructure & DevOps

3rd Party APIs & Services

Operating Systems

Cloud-based trading platform for American trucks with analytics and tracking system.

• Backend services in Go for trading and analytics platform (GCP, Spanner, k8s)
• REST/gRPC APIs, data processing services, and performance optimization
• Integration of large clients with custom data pipelines
• Web scraping pipelines (Gocolly, Zenrows, Selenium)
• Production k8s cluster management, incident response, and monitoring

Aviation flight tracking & pilot logbook platform with real-time data pipelines and safety analysis.

• Event-driven microservices (Go, gRPC, Protobuf) with Kafka/Redpanda streaming pipelines processing real-time aircraft telemetry
• Shared Go library with CQRS decorators, Kafka consumer/producer abstractions, and structured logging
• Containerized infrastructure with PostgreSQL/PostGIS, OpenSearch, Redis, Grafana/Prometheus
• Aeronautical advisory processing (METAR, NOTAM, TFR) with geospatial flight-path matching

Blockchain automation platform — distributed, verifiable cloud computing network for managing blockchain nodes.

• DevOps automation tool for orchestrating containers using Go Docker SDK and Unix sockets
• CLI tool for node control: setup, monitoring, and failure recovery
• Reduced Docker images from 7 GB to ~100 MB each by applying separation of concerns
• CI/CD rules for linting and formatting

Cloud-based dental management SaaS platform on microservice architecture.

• Backend microservices using Go & Docker (Gin, Echo, Fiber, Chi)
• High-performance gRPC endpoints for inter-service communication
• Message brokers integration (RabbitMQ, Kafka) for async processing
• SQL & NoSQL query optimization (PostgreSQL, MongoDB, Redis)