Allan Galarza

Technical lead for an early-stage AI platform that automates investment research workflows, including expert interview calls, transcription, and research knowledge management.

• Drove the team's migration of the legacy workflow-engine backend to a TypeScript agent service, exposing existing workflows as agent tools and standing up CI and test gates alongside.
• Designed the split of the backend into a shared cloud service and a local service behind a clean API boundary, so sensitive research data stays on the customer's machine by default, and built most of the local service.
• Co-built the knowledge-management backend, where agents read and write the user's files, answer research queries over them, and use vector search with LLM inference, owning the ingestion connectors for meeting recorders, multiple Google accounts, and network storage.
• Created a shared tool layer for AI agents and exposed it over MCP and an OpenAI-compatible API, so the native app, third-party chat UIs, and coding agents reuse the same backend capabilities without duplicating logic.
• Designed financial data pipelines that combine deterministic processing with LLM-assisted extraction, validation, and enrichment.
• Built backend services for automated call and transcription workflows, with a focus on reliability, operational visibility, and safe external integrations.
• Reviewed system designs, wrote risk analyses, and called out critical architecture decisions early so teams could avoid costly rework.

Contracted to improve the backend foundations of a financial data processing and reporting product.

• Reduced report generation time by 60% by optimizing backend execution paths and data aggregation workflows.
• Designed backend APIs and orchestration flows for data analysis and reporting workloads, using containerized services on GCP and Windmill for scalable task execution.
• Introduced a modular execution architecture for multi-language scripts with automatic dependency management, reducing friction in onboarding and deployment.

Backend engineer and database owner for industrial applications used to monitor pipeline infrastructure and operational risk.

• Designed and maintained backend services supporting monitoring for thousands of pipelines and processing millions of sensor records per day for operational analysis and decision-making.
• Led a backend modernization effort that introduced FastAPI and Pydantic, improving service maintainability, API clarity, and cross-team delivery speed.
• Consolidated fragmented internal tools into unified backend services for equipment and sensor mapping, reducing system sprawl and simplifying downstream workflows.
• Built event-driven services that consumed real-time sensor streams to trigger warnings, alarms, and automated controls under critical field conditions.
• Managed delivery and runtime operations across Docker, GitHub Actions, and on-prem Kubernetes, strengthening deployment consistency and production reliability.

Backend contributor for a mobile health platform focused on pregnancy tracking, recommendations, and clinic discovery.

• Designed backend APIs that delivered stage-specific health guidance, pregnancy tracking features, and clinic referral workflows based on user context.
• Built and optimized a relational schema using a database-first approach to support evolving product requirements without repeated rework.
• Implemented stored procedures and backend logic to personalize health information by pregnancy stage and recorded user health data.

Backend engineer across multiple client products, with additional ownership around technical debt reduction and engineering quality practices.

• Designed backend services and database models for an inspection and inventory platform built on Azure Functions and microservice patterns.
• Delivered APIs and offline-capable workflows for a fire and security inspection product used in connectivity-constrained facilities.
• Automated regulatory fire and safety report generation, removing manual reporting work from customer operations.
• Contributed across additional products, including a social media pilot and a travel CMS, while maintaining backend delivery quality under shifting priorities.
• Drove a technical debt reduction plan for a key inspection platform, improving maintainability and reducing defect-prone areas in the codebase.
• Evaluated SonarQube integration in CI/CD and helped push static analysis and code quality practices into broader engineering discussions.

Built software for money-handling systems, spanning kiosk applications, device integrations, transaction monitoring, and supporting services.

• Engineered production kiosk applications that integrated multiple money devices for payment, utility, and banking transactions, including international deployments.
• Developed reusable interfaces for MEI and CC-Talk hardware, reducing the cost of integrating new devices for internal teams and customers.
• Integrated real-time monitoring capabilities into kiosk workflows, improving transaction traceability and auditability.
• Designed the supporting services and databases required to preserve transactional integrity and system availability.
• Contributed additional quality improvements while temporarily assigned to SAP Business One addon work for a partner engagement.

Delivered applied R&D projects spanning embedded systems, mobile applications, sensors, and hardware design.

• Built an Android BLE application and control interface for embedded ATV headlight hardware, carrying the concept through test deployment.
• Designed CAD-based protective enclosures for electronic control devices used in mechanical assemblies.
• Developed an aquaponics greenhouse monitoring system that combined multi-sensor telemetry with a backend for real-time data collection.
• Designed both the embedded UI and mobile companion app for a dispensing machine prototype with QR-based login and database-backed credit management.
• Produced technical and feasibility reports to support engineering decision-making across R&D initiatives.