I am an Associate Machine Learning Engineer Candidate and Systems Architect driven by the convergence of technical innovation and human-centric design. My work operates at the intersection of Deep Learning, Retrieval-Augmented Generation (RAG), and Organizational Leadership.
Currently serving as the CEO of Monash DeepNeuron, I lead a diverse team of 130+ engineers, researchers, and creatives. My philosophy is rooted in Systems Thinkingβwhether optimizing a neural network or scaling a student organization, the secret lies in reducing friction and maximizing the signal-to-noise ratio.
My technical focus is on building RAG-based classification systems (like the DAPPI XP engine) that bring intelligence to unstructured data. My leadership focus is on automating operational workflows to allow teams to focus on high-value creative work.
- Engineering: Scaling administrative automation platforms and RAG-based classification engines using TensorFlow and Vector Databases.
- Leadership: Directing strategy for Monash DeepNeuron and serving as the Notion Campus Lead for Melbourne.
- Learning: Advanced Multimodal Computer Vision pipelines and Behaviour Modelling.
- Philosophy: Exploring the intersection of Communication Frameworks (CLAPS) and Servant Leadership.
timeline
title Engineering & Leadership Evolution
2023 : Joined Kion Coaching
: Reduced Admin Overhead by 83%
: Education Lead (DeepNeuron)
2024 : Developed DAPPI XP (RAG Engine)
: Improved Engagement by 289%
: Vectorised Criteria Store Implementation
2025 : Appointed CEO - Monash DeepNeuron
: Leading 130+ Engineers
: Notion Campus Leader (Melbourne)
: Teaching Associate (Monash Uni)
2026 : Graduating Monash University
: BE (Software) / BCom (Finance)
: Ready for Associate ML Roles
| Kion Coaching | Monash DeepNeuron | DAPPI XP Engine |
|---|---|---|
| π 83% | π 42% | π 289% |
| Reduction in Operational Friction via Database Modelling & Automation | Reduction in Internal Admin Overhead via Workflow Optimization | Improvement in User Engagement via RAG-Based Classification |
| Scaled business capacity from 4 to 27 active students | Managed & led statewide hackathons (VicHack) with 400+ participants | Delivered end-to-end ML workflow (Ingestion -> Embedding -> Retrieval) |
I believe that engineering excellence is downstream of clear thinking and strong leadership. These are the texts that shape my operating system.





