Active Fire Edge Detection
Real-time fire boundary detection on DJI drones with Manifold3 edge hardware for NTFES.
Hello, I'm
Bridging AI, Machine Learning & Edge Computing
with Real-World Impact
I build intelligent systems that solve complex problems โ from real-time fire detection with drones to NLP pipelines processing thousands of documents. Currently pursuing a Master of IT (AI) at Charles Darwin University.
Explore My JourneyI am an AI/ML Engineer dedicated to building intelligent, scalable systems. By combining strong software engineering foundations with applied AI and machine learning, I deliver high-performance solutions across public safety, agriculture, and enterprise sectors.
I build real-time AI systems on edge devices. Currently developing an active fire edge detection system for NTFES using DJI drones and Manifold3 hardware, enabling autonomous fire boundary identification.
I design and deploy NLP pipelines, RAG chatbots, and ML models at scale. From processing 10,000+ documents with semantic search to building fraud detection systems analyzing 15K+ transactions.
I extract, clean, and analyze large datasets for research and production. Experienced with satellite imagery, remote sensing data, and building automated validation tools that reduce manual work by 40%.
Building AI, ML & Edge Computing Solutions
Academic Background & Learning Journey
Master of Information Technology (AI Major)
Jul 2025 โ Jul 2027
Core Skills: Artificial Intelligence, Machine Learning, Edge Computing, NLP
Bachelor of Software Engineering (AI)
May 2022 โ May 2025
Core Skills: AI, Deep Learning, Software Engineering, Data Science
Verified Credentials & Achievements
Click any card to see what was built, the tech stack, and links
Real-time fire boundary detection on DJI drones with Manifold3 edge hardware for NTFES.
Retrieval-augmented chatbot querying 10,000+ insurance policy documents with GPT-4 and semantic search.
Ensemble ML system identifying fraudulent transactions across 15,000+ records with 98.7% ROC-AUC.
Privacy-first offline document Q&A powered by Mistral 7B via Ollama โ zero data leaves the machine.
Real-time financial news sentiment dashboard using fine-tuned FinBERT, achieving 91% accuracy on stock mood prediction.
Deep CNN achieving 94.3% top-1 accuracy on 10+ image categories using EfficientNetB0 transfer learning.
Technical competencies across AI, ML, and Cloud Engineering
Contact
Have a project, question, or just want to chat? I'd love to hear from you!
What I built