# Gerardo R. > Golang Engineer Location: Union City, California, United States Profile: https://flows.cv/gerardor I help organizations turn their raw data into intelligent, conversational Expert Systems. Unlike generic AI wrappers, I build high-performance, privacy-first AI modules: optional local heuristics with optional Gemini/ChatGPT/other LLM integration, using SOP—an open-source toolkit I architected. See here: https://github.com/sharedcode/sop ## Work Experience ### Golang Engineer @ *Open Source Project* Jan 2025 – Present | https://github.com/sharedcode/sop Architect/Software Engineer • Architected and built a high-performance, horizontally scalable NoSQL database in Go, leveraging Direct I/O B-Tree/Hash Map structures and Redis caching to achieve ACID compliance without third-party database dependencies • Engineered the core Transactional Vector Database (SOP AI) module, combining B-Tree storage with Cosine Similarity search to enable ACID-compliant vector operations and real-time deduplication, overcoming the eventual-consistency issues of standard vector stores • Invented a novel "Ideal Random Sampling" indexing algorithm using dense integer maps to generate mathematically representative search centroids, ensuring high-quality, unbiased clustering performance on large, skewed datasets • Implemented a "Self-Healing" Index with background rebalancing and real-time distribution tracking, ensuring the vector store maintains optimal O(logN) search performance at terabyte scale • Designed the cost-effective "Doctor & Nurse" AI Orchestration Pattern—a dual-agent architecture that leverages lightweight local LLMs (Ollama) for intent classification and the SOP Vector Store for deep, transactional knowledge retrieval • Developed a Zero-Code Agent Framework featuring JSON configuration and automated ETL pipelines to cut expert system deployment time from weeks to hours, achieving 100% data freshness • Built a hierarchical AI Policy Engine for Responsible AI, enforcing both global and local guardrails (e.g., PII filtering, safety checks) directly within the retrieval pipeline, enhancing system governance • Deployed a robust, fault-tolerant replication layer using Reed-Solomon Erasure Coding and highly concurrent Go routines/channels, ensuring high durability and low-latency synchronization across the cluster • Increased adoption by developing Python wrappers (via CGO/C hooks) for the core store API, enabling seamless integration for Python developers and leading to a publication on PyPI ### Golang Engineer @ Black Ice Data Jan 2024 – Jan 2025 | Idaho, United States Senior Software Engineer (Golang/Java/Postgres/Kubernetes) • Authored the Jobs REST API (Java/PostgresDB) using DDD/SOLID principles, employing lightweight threads in JDK23 for a highly threaded Kubernetes jobs processing pipeline. • Provisioned and configured a bare-metal Kubernetes cluster including a high-performance, distributed MinIO (S3 compatible) cluster with dual-node redundancy (Helm chart). • Led R&D on future-facing components, including OAuth2-based authentication and a RESTful, cached CDN based on the SOP project written in Golang/Swagger. ### Backend Software Engineer @ Google Jan 2022 – Jan 2024 | Sunnyvale, California, United States Consultant (Golang/Java/GoogleSQL/CEL) • Delivered scalable MicroServices/CEL Rules and backend frameworks in Golang/CEL/GoogleSQL for Enterprise Infrastructure Protection, enforcing security checks across real-time and high-volume background data processing. • Contributed to Google’s standardized logging design pattern by implementing Sawmill logging across several JVM/Java RPCs. • Optimized implementations using Golang channels and Go-routines to take advantage of high concurrency for scalable query workloads. ### Golang Engineer - Contract @ Centene Corporation Jan 2020 – Jan 2021 | St Louis, Missouri, United States Sr Consultant (Golang/MongoDB/Kubernetes) • Designed and solely implemented the Member Search Hydrator application, achieving 40 million Member records’ hydration in 15 hours with low latency and non-disruptive data sync. • Enhanced the Kafka library with a multi-threaded work-pool based intake for higher speed message processing, leading to improved team throughput. • Authored the IMT-Orchestrator micro-service, integrating three APIs and applying business logic, utilizing a multi-threaded worker library (Go channels/routines) for high-speed request processing. ### Golang Engineer @ Gracenote Jan 2015 – Jan 2020 | United States Sr. Software Engineer (Java/Golang/AWS/Redis/ElasticSearch/Kafka) • Authored the GOLANG Pages REST web service and data management module, providing Geo-spatial data-aware RadioStations metadata lookup from Redis/ElasticSearch with built-in cache failure handling. • Led the migration of the proprietary search engine to a SOLR 8 based solution, identifying and fixing performance bottlenecks that caused unacceptable slowdowns. • Increased overall linking throughput from 250K to 1M/day by porting the Music Linker cluster from Lucene to an ElasticSearch AWS cluster and designing an efficient document schema that reduced indexes from 4 to 1. • Optimized the ScanAndMatch application to sustain performance and increase ingestion rate from 250K up to 800K processed Album submits daily by resolving bottlenecks in the data pipeline. • Designed and implemented an ultra-fast, highly parallelized AWS cloud migration utility capable of performing terabytes file copy operations per hour. ### Software Engineer @ Microsoft Corporation Jan 1998 – Jan 2015 • Held progressive Senior Software Engineer and Consulting roles at **Microsoft, Hewlett Packard, and other firms**, specializing in full-stack application development, database architecture (Postgres, SQL Server), and large-scale system performance optimization. • Key contributor to patented test technology at Microsoft (1998-2004). ## Education ### B.S. Computer Science AMA University ### B.S. in Chemical Engineering Mapúa University ## Contact & Social - LinkedIn: https://linkedin.com/in/coolguru - Website: https://github.com/SharedCode/sop --- Source: https://flows.cv/gerardor JSON Resume: https://flows.cv/gerardor/resume.json Last updated: 2026-04-05