Research Projects
A comprehensive portfolio of research projects spanning web applications, AI/ML solutions, DevOps implementations, and hardware integrations.
BlackBox Synthetic Environments
Realistic virtual testing ground for experimentation with decentralised drone swarm behaviours can be safely developed. Key features include the ability to dynamically manage the simulation by adding or removing drones on the fly and ensuring the entire system can interoperate with wider defence industry simulations through the Distributed Interactive Simulation (DIS) standard.
BlackBoxAI Website
The BlackBoxAI Website: A platform for sharing research projects with the goal of automating the Development workflow using coding agents taking User Feedback to Completed, Reviewed and Tested code commits.
Hardware Development TestBed
This custom-designed hardware testbed supports the experimental development and validation of solid rocket motor technologies. Engineered to integrate load cells, relay systems, and signal-conditioning electronics, the platform enables safe, repeatable testing of thrust, ignition control, and circuit reliability. The modular truss structure is optimized for mechanical strength and sensor accessibility, serving as a robust base for iterative R&D in propulsion and aerospace subsystems. The platform also acts as a proving ground for embedded software and real-time telemetry systems ahead of full motor integration.
Orin Nano Super - Edge AI using LLM
This project explores the deployment of Large Language Models (LLMs) on the NVIDIA Orin Nano Super — a powerful yet compact edge computing platform. The goal is to assess performance, latency, and real-world usability of AI inference workloads in constrained environments. It combines hardware acceleration with software optimization to demonstrate intelligent edge solutions capable of processing natural language locally, without relying on cloud infrastructure. This research provides foundational insight for building secure, low-latency AI systems for robotics, IoT, and offline applications.
Network Influencer - Micro SaaS
A professional network visualisation and relationship management tool designed for maintaining and analysing LinkedIn connections. This enterprise-grade application helps users track influence, interest, and relationships within their professional network.