I design, develop, and experiment with software systems across artificial intelligence, full-stack engineering, cloud infrastructure, networking, and distributed computing.

My background combines professional experience in enterprise IT infrastructure, systems administration, networking, and communications with academic training in computer science and internetworking.

I hold a Master of Information Technology (Internetworking) from the University of Technology Sydney (UTS) and a Bachelor of Engineering in Computer Science.

My work spans:

• AI & Developer Infrastructure: Agent orchestration, retrieval systems, persistent memory, and intelligent development tools.
• Software & Systems Engineering: Full-stack applications, backend services, APIs, C++ development, and performance optimisation.
• Cloud & Networking: Distributed infrastructure, Linux systems, cloud platforms, networking, and automation.
• Mobile & Edge Computing: Android applications, offline-first software, Bluetooth communication, and on-device AI.
• Applied Research: Algorithms, experimentation, benchmarking, and evidence-driven engineering.

I enjoy solving difficult engineering problems, learning new technologies, and building practical systems that connect software, infrastructure, and real-world applications.

Code Intelligence • AST Indexing • MCP Tooling

A local-first code intelligence and retrieval tool that helps AI coding agents understand codebases using less prompt context.

• Implemented Capabilities: Hybrid lexical and vector retrieval, Tree-sitter syntax-aware chunking, vector search via LanceDB, and evidence-linked line references.
• Integrations: Python API and Model Context Protocol (MCP) server for IDE integration.
• Tech Stack: Python • Tree-sitter • LanceDB • FastEmbed • Model Context Protocol (MCP) • Docker

Multi-Agent Orchestration • Architectural Planning • Developer Automation

An AI engineering platform exploring collaborative agent workflows, architectural planning, persistent memory, and developer tooling.

• Implemented Capabilities: Multi-agent coordination, agent debate loops, persistent memory, and codebase review workflows.
• Tech Stack: JavaScript • TypeScript • Node.js • React • LangGraph • LangChain • Google ADK • SQLite • Redis • MCP
• 🌐 Project Links: Website (structzero.app) • Live Demo (demo.structzero.app)

Systems Engineering • C++20 • Graph Processing • Active Development

An ongoing C++20 systems engineering project exploring repository indexing, code dependency graphs, and persistent agent knowledge management.

• Focus: Algorithmic structure, graph traversal, version-aware knowledge retrieval, and efficient systems design.
• Status: Active development prototype.
• Tech Stack: C++20 • CMake • Ninja • SQLite • Python • TypeScript

Geospatial Research • Satellite Data • Interactive Mapping

An open-source Australian bushfire research platform combining NASA satellite fire detections, historical fire records, and environmental mapping.

• Implemented Capabilities: Native C++ data ingestion, historical fire incident exploration, and interactive WebGL map visualization.
• Experimental Features: Multi-source environmental similarity analysis and research data export pipelines.
• Tech Stack: C++20 • CMake • SQLite • MapLibre GL JS • JavaScript • Docker

Offline-First Mobile • Bluetooth LE • P2P Communication • Prototype

An offline-first mobile communication project exploring Bluetooth Low Energy peer-to-peer messaging and mapping for emergency response.

• Implemented Capabilities: Connectionless BLE advertising, local GPS coordinate rendering, and compact spatial data encoding.
• Experimental: Multi-hop mesh relay protocols and edge triage assistance.
• Tech Stack: React Native • Expo • TypeScript • Kotlin • Bluetooth LE • Python

Android • On-Device AI • Google LiteRT • Speech Processing

An Android voice translation application focused on privacy, offline speech processing, translation, and streaming text-to-speech.

• Implemented Capabilities: On-device model execution using Google LiteRT runtime, Voice Activity Detection (VAD), and streaming audio playback.
• Tech Stack: Kotlin • Jetpack Compose • Android SDK • Google LiteRT • Speech Processing

• Master of Information Technology — Internetworking
  University of Technology Sydney (UTS), Australia
• Bachelor of Engineering — Computer Science
  Visvesvaraya Technological University (VTU), India

• AI Infrastructure & Agent Systems: Reliable orchestration, context management, persistent memory, and retrieval efficiency.
• Algorithms & Data Systems: Code intelligence, graph processing, vector search, indexing, and information retrieval.
• Software Architecture & Performance: Native systems, backend engineering, resource management, benchmarking, and scalability.
• Cloud & Distributed Computing: Infrastructure automation, distributed services, networking, and fault tolerance.
• Mobile & Edge Intelligence: On-device AI, offline applications, and peer-to-peer communication.
• Applied Technology & Open Source: Building, evaluating, and improving practical software systems.

Portfolio  •  LinkedIn  •  Email

"Always learning. Always building. Always improving."