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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

Architected distributed systems for large-scale data processing in cloud environments, leveraging Kubernetes for orchestration. Built a high-throughput messaging system with Golang, optimizing for low-latency communication across services.

• Automated deployment pipelines using Terraform and AWS Lambda
• Integrated Redis for efficient session management in web applications
• Optimized PostgreSQL queries to enhance database performance

Architected a scalable microservices platform in Golang for a high-traffic e-commerce application, optimizing for cloud-native environments. Designed and implemented REST and gRPC APIs for a distributed system handling millions of requests per day. Led engineering teams in the migration of legacy monolithic systems to cloud-based microservices architecture.

• Implemented fault-tolerant systems using cloud architecture best practices.
• Optimized data processing pipelines for real-time analytics.
• Developed custom load balancing solutions for distributed systems.

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

Built core infrastructure, observability pipelines, and automated performance guardrails for a large-scale messaging platform. Works across Rust, Go, C, Python, Redis, PostgreSQL, AWS, and Terraform to improve reliability, throughput, and production latency.

• Tokio-based asynchronous systems development
• KDB-backed financial data processing
• Cross-service incident metrics and mitigation
• Infrastructure automation with Terraform

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

Builds Go-based multiplex connectors that unify SIEM, EDR, vulnerability-scanner, ticketing, and ITSM integrations through versioned bidirectional REST APIs. Designs OCSF-normalized ingestion and transformation pipelines using Bloblang, applying clean and hexagonal architecture across security data flows.

• Integrated Tenable, Defender, QRadar, Rapid7, Tanium, and Sumo Logic
• Connected ServiceNow, Jira, Zendesk, PagerDuty, and Freshdesk
• Implemented VCR-based connector regression testing
• Produced security integration API documentation and versioning

Built Go and Python services for an AI assistant comprising three core agents, ten subagents, and more than fifteen tools for email, calendar, and real-time information retrieval. Implemented parallel agent workflows, Redis and Qdrant memory layers, and sandboxed file-generation execution.

• Gin-based concurrent REST APIs
• Goroutine, channel, and mutex synchronization
• GCP Compute Engine and Cloud Functions
• PostgreSQL and DynamoDB data services

Builds Go-based multi-agent operations platforms spanning 245 cities, with human approval gates and reproducible quality, safety, and cost evaluations that reduced LLM token usage by 26%. Previously optimized fintech APIs serving more than nine million monthly users and real-time voice agents supporting 450 concurrent sessions.

• LLM evaluation and benchmarking systems
• STT, LLM, and TTS fault tolerance
• NATS JetStream and RabbitMQ messaging
• OpenTelemetry, Helm, and Vault operations

Designed production-grade PCI DSS tokenization services for payment-card primary account numbers within distributed Go architectures. Has worked across event-driven backends, edge and CDN architectures, caching layers, and high-throughput data platforms including ClickHouse.

• Kafka, NATS, and NSQ messaging systems
• ArgoCD deployment automation
• Flutter and Dart application development
• Prometheus, Grafana, Kibana, and Sentry

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

Designed and implemented high-performance XML processing systems for large-scale data transformations. Specialized in SQL-based systems for enterprise-level data management solutions. Developed custom Linux kernel modules for optimized network performance.

• Architected XML Schema validation for financial data exchanges
• Optimized database queries for improved transaction throughput
• Implemented XSLT transformations for dynamic content rendering

Designed and implemented high-throughput distributed systems for real-time data processing, optimizing for low-latency and fault tolerance. Developed scalable microservices architecture for a financial technology platform, handling millions of transactions daily. Led the migration of legacy monolithic systems to cloud-native infrastructures, leveraging containerization and orchestration tools.

• Built RESTful APIs for large-scale e-commerce platforms
• Optimized SQL queries for performance in data-heavy applications
• Integrated machine learning models into backend services
• Developed custom caching solutions for high-traffic web applications

Engineered scalable backend services using Golang and Java for enterprise applications. Developed cloud-based solutions with Python for automation. Integrated multi-language support with C# and TypeScript.

• Scalable backend services
• Cloud-based automation solutions
• Multi-language support integration