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Cloud Golang Developers

Architected a Golang LLM inference proxy with OpenAI- and Anthropic-compatible APIs, integrating Qdrant vector retrieval for retrieval-augmented generation. Designs high-throughput cloud platforms spanning event-driven services, large-scale data engineering, and distributed systems across AWS, Azure, and GCP.

• Automated refactoring, test generation, and code review with Claude Code
• Applied OpenSpec workflows for spec-driven development
• Built Parquet and PySpark data lake pipelines
• Implemented Kubernetes operators and GitOps deployment patterns

Built Go and PostgreSQL backend systems for cloud-native applications, including smart dispatching that assigns logistics loads to drivers and applies operational optimization algorithms. Developed security-focused infrastructure with Kubernetes and PKI, alongside backend and frontend services across AWS and Yandex cloud environments.

• Implemented Bitcoin wallet functionality
• Integrated Ethereum ERC-20 and ERC-721 contracts
• Deployed and audited smart contracts
• Led a seven-engineer backend and QA team

Built an invoice web application with Spring Boot, Spring Security, Hibernate/JPA, and an Angular front end, covering authenticated business workflows and relational persistence. Developed a JavaFX Reversi application backed by PostgreSQL and JDBC, with REST integration and JSON, XML, and properties-based configuration.

• Containerized deployments with Docker and Kubernetes
• Redis-backed caching and data access
• Prometheus and Grafana monitoring configurations
• Cloud platform work across Azure and Google Cloud

Built high-performance platforms integrating Golang and Rust for system-level programming, with a focus on optimizing SQL database interactions and enhancing developer experience through Nix-based environments.

• Integrated Rust for low-level system optimizations
• Enhanced database performance with advanced SQL tuning
• Developed cross-platform tools leveraging TypeScript and Kotlin

Architected a scalable microservices platform utilizing Kubernetes and Golang, handling over a million daily requests. Developed real-time data processing pipelines using Kafka to manage high-throughput analytics workloads. Integrated AWS and GCP services for seamless cloud-native deployments and cross-cloud redundancy.

• Optimized PostgreSQL queries for high-volume transaction systems
• Implemented CI/CD pipelines for automated cloud deployments
• Designed fault-tolerant systems with distributed consensus protocols

Led the development of high-performance data ingestion systems for IoT devices, processing millions of events daily. Spearheaded efforts in optimizing SQL queries for large-scale data retrieval operations.

• Designed fault-tolerant systems using Golang and Kubernetes
• Implemented event-driven architectures with message brokers
• Conducted performance tuning for JVM-based applications

Designed high-performance backend systems for financial applications with Golang and Java. Developed a scalable transaction processing engine handling millions of daily operations.

• Created API gateways for service-to-service communication
• Enhanced legacy systems with modern technologies like Kotlin
• Developed middleware for cross-platform data exchange

Expert in building enterprise-level applications using Golang and Java, with a focus on object-oriented design principles. Developed backend systems and APIs for large-scale transactional systems. Integrated modern front-end frameworks like React and Angular for seamless user interfaces.

• Designed fault-tolerant systems with Spring Boot
• Implemented caching strategies for improved application performance
• Developed test-driven development practices for software reliability

Engineered high-performance computing solutions using C++ and Python, specializing in computational algorithms. Optimized data caching strategies with Redis for real-time analytics platforms.

• Automated build processes using CMake and ccache
• Developed distributed systems for scientific computing
• Enhanced legacy systems with modern C++ standards

Designed and implemented a distributed database system with high availability using Golang, focusing on achieving low-latency data retrieval. Led the development of a scalable microservices architecture deployed with Docker and Helm, optimizing resource utilization and deployment speed. Spearheaded the creation of a comprehensive testing framework for continuous integration, enhancing code reliability across complex systems.

• Architected multi-region data replication solutions for database systems
• Implemented advanced caching mechanisms to improve query performance
• Developed automated deployment pipelines using Helm for Kubernetes
• Optimized database query execution plans for large-scale datasets

Architected and deployed a scalable cloud infrastructure on AWS, optimizing resource allocation and cost management for large-scale applications. Developed secure identity and access management protocols using AWS IAM, ensuring compliance with industry standards. Engineered high-availability solutions with AWS EKS and EC2, enhancing system reliability and uptime.

• Implemented multi-region failover strategies with AWS VPC
• Optimized database performance using AWS RDS
• Designed automated infrastructure provisioning pipelines

Architected a high-concurrency microservices platform enabling seamless scalability for large-scale applications. Designed fault-tolerant systems using event-driven architecture and gRPC for robust service communication.

• Developed a distributed logging system for real-time analytics
• Optimized Go routines for parallel processing of massive datasets
• Integrated circuit breaker patterns to enhance system resilience

Developed scalable backend architectures integrating machine learning models for predictive analytics. Spearheaded Web3 development initiatives focusing on decentralized applications and blockchain technology.

• Optimized backend systems for high-load environments
• Implemented CI/CD pipelines for rapid deployment
• Engineered systems programming solutions for performance-critical applications

Developed backend services for a social media platform, focusing on scalability and resilience. Implemented search functionalities with Elasticsearch, enabling real-time data retrieval and indexing.

• Configured Kubernetes clusters for improved resource allocation
• Streamlined CI/CD processes with Gitlab for faster deployments
• Deployed containerized applications using Docker on Google Cloud