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.

• Drove engineering process improvements by auditing the existing codebase and designing a streamlined, low-dependency architecture. This enabled rapid CI/CD deployments and seamless Docker containerization on AWS infrastructure.
• Contributed to expanding AWS cloud capabilities by developing an edge-device data capture solution, ensuring real-time drone telemetry data was reliably uploaded and managed.
• Mentored engineering team members through rigorous peer code reviews, establishing engineering standards, and helping configure CI/CD pipelines that enable streamlined development.

A multi-tenant enterprise platform for product tracking and authenticity, modernized with scalable dockerized applications, observability and analytics, zero downtime deployments and robust pen-tested authentication.

• Championed spec-driven development by authoring the foundational technical specification for a cross-platform messaging architecture, standardizing telemetry data capture across all legacy and modern nodes regardless of their programming language.
• Architected multi-cluster data pipelines on Elasticsearch capable of handling thousands of validation transactions per second with ultra-low latency.
• Led the containerization and transformation of legacy monolithic applications into Dockerized microservices to enable horizontal scaling; partnered with infrastructure teams to establish automated CI/CD and deployment flows.
• Built user authentication module with SSO (OIDC) and clustering capabilities for a multi-tenant platform, reducing security vulnerabilities by 87% and cutting downtime from hours to minutes.
• Architected automated CI/CD pipelines (Azure DevOps) and robust testing infrastructure, cutting release verification time in half and enabling high-frequency weekly deployments.
• Extended User and App performance analytics solutions to monitor and respond to live failures and performance bottlenecks.

A fixed-term contract for rebuilding calculation functions for a material carbon cost platform with performant and reliable infrastructure.

• Architected a performant and robust material cost calculation tool with multiple applications to drive cross-platform consistency and reduce runtime failures.

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

• Led the modernization of distributed heating network management application, introducing a new network monitoring and efficiency dashboard cutting support team response time in half.
• Implemented data pipelines leveraging AWS services for processing and storing real-time sensor data from heating network nodes, supporting consumption metering and alerting systems.
• Designed and delivered Building Management and Modelling System, tied to consumption metering and real-time sensor data to allow network efficiency analysis.

A high-performance geospatial data processing for large scale water network critical events.

• Led development of a geospatial solution to enhance user interactions with device critical events allowing millions of entries to be streamed without lag.

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

• Designed and deployed an event-driven land parcel management platform handling national-scale geospatial assets on managed Kubernetes (AKS).
• Engineered a highly flexible, domain-driven management solution that enabled jurisdiction-specific caseworkers to dynamically configure user workflows, and strict role-based permissions without requiring developer intervention.
• Implemented custom auth layers, dynamic auto-scaling policies, and centralized logging/observability stacks to monitor performance and guarantee high availability under heavy national traffic.
• Designed an automated backend workflow utilizing AI to digitize and convert legacy land registry documents into structured digital formats, seamlessly integrating them into modern Azure-based search solutions.
• Configured Apache Kafka microservices pipelines for real-time streaming of geospatial data and legal entity updates.
• Implemented centralized orchestration platform using Node.js, Express.JS and GraphQL, leading to improved traceability and fault detection.

A security risk modeling tool for auditing complex, heavily interconnected projects, infrastructure and data governance.

• Developed a security risk modelling tool in collaboration with renowned researchers on complex security projects to audit for ISO 27001 and SOC-2 compliance.

A hardware validation and automation platform for testing motor drives and verifying networking capabilities in industrial environments.

• Developed test cases and automated python scripts, PLC programs and web interfaces to ensure Real Time Device communication meets requirements.

A software for the extraction, transformation, validation, and migration of Cisco Unified Communication Systems configuration data.

• Built a multi-cluster MongoDB architecture to offload high-volume search burdens from legacy flat PostgreSQL databases, significantly improving query performance.
• Enhanced transform scalability using parallelization and multi-threaded processing leading to orders of magnitude improvements in delivery and completion.
• Provisioned, configured, and managed Linux-based virtual machine infrastructure to host distributed data transformation software.