Ardavan – AWS, React, Python

A secure drone telemetry platform designed for sensitive government operators in the UK to monitor aerial activity, assess potential threats, and detect operational disruptions.

• Established the core architecture, cloud infrastructure, and engineering culture for an early-stage startup.
• Researched and documented technical trade-offs between managed AWS services and custom Docker deployments to support scalable and secure infrastructure.
• Architected a real-time edge-device data capture solution using Node.js, Python, and AWS to ensure reliable ingestion of drone telemetry data.
• Designed automated CI/CD pipelines and introduced rigorous peer review processes to accelerate safe deployments.

A multi-tenant enterprise platform modernized across security, UI performance, and developer productivity.

• Authored the foundational technical specification for a cross-platform messaging architecture to standardize telemetry data capture across legacy and modern nodes.
• Leveraged AI agents to accelerate full-stack feature research, prototype complex back-end workflows, and achieve high test coverage.
• Led feature discovery with the Product team for the reporting platform, refining requirements and acceptance criteria for scalable legacy-platform expansion.
• Architected and developed a clustered, multi-tenant SSO (OIDC) authentication module, reducing security vulnerabilities and downtime.
• Established cross-team engineering standards, technical specifications, and documentation, and led adoption of a common React UI library and auth gateway across product teams.
• Engineered automated CI/CD pipelines and robust end-to-end testing infrastructure, enabling high-frequency weekly deployments.
• Extended user and application performance analytics solutions to monitor and respond to live failures and bottlenecks.

A fixed-term enterprise UI rebuild and component library engagement for client applications.

• Architected and delivered a highly performant, reusable UI component library in React and integrated it across multiple applications to drive cross-platform consistency.
• Rebuilt front-end UI components for Moata Carbon Portal, improving user satisfaction by 36%.
• Streamlined the design-to-code pipeline across enterprise applications.

A distributed heating network management application with monitoring, metering, alerting, and efficiency analysis capabilities.

• Led the modernization of the distributed heating network management application.
• Engineered a new network monitoring and efficiency dashboard that cut support team response times in half.
• Architected and implemented data pipelines using AWS to process and store real-time IoT sensor data from heating nodes for consumption metering and alerting.
• Designed and delivered a Building Management and Modelling UI tied to consumption metering and real-time sensor data for network efficiency analysis.

A high-performance geospatial data visualization and interactive mapping solution for device critical events.

• Led the technical design and development of an advanced interactive mapping solution using MapBox and Deck.GL.
• Engineered data clustering strategies to improve user interactions with critical device events.
• Enabled seamless rendering of millions of data entries on a single map interface without browser lag.

A land management platform with metadata-driven geospatial workflows, event-driven services, and AI-assisted document digitization.

• Architected a metadata-driven React interface that adapted to jurisdiction-specific asset configurations and role-based workflows.
• Applied front-end optimization techniques including lazy-loading and memoization to handle complex geospatial map assets efficiently.
• Designed an automated Azure-based backend workflow utilizing AI to digitize legacy land registry documents into structured searchable formats.
• Built secure back-end services to dynamically generate and manage digital certificates.
• Engineered advanced geospatial visualization tools integrating external data sources over parcel maps to streamline decision-making.
• Established an event-driven microservices architecture using Kafka to maintain real-time updates for geospatial assets and legal entities.
• Implemented a centralized orchestration platform using Node.js, Express.js, and GraphQL to improve traceability and fault detection.