Professional Profile
Hi, I'm Rock! I am an exceptional software developer and innovative technical leader with a Master of Science in Computer Science and deep expertise in full-stack Software Engineering, Natural Language Processing, Cloud infrastructure, and Artificial Intelligence.
I have designed sophisticated big-data retrieval systems, managed complex Linux environments, and handled extensive external API and system integrations. I have a proven ability to lead development teams and create high-performance technical solutions. Others describe me as soft-spoken, social, and collaborative, with a focus on results rather than ego.
Above is a showcase of my work. My PDF redaction library was a green-field creation using
AI, but heavily manually edited, changed, tested and optimized by myself after, because of its complexity. GForce-X is a game I've
written many times in different technologies over the years. Here I used AI to add features to an existing brown-field application.
Rock's Lunar Lander was also entirely written by hand before AI was used to change the code
to add Android compatibility. Rock's Maze was entirely generated using opencode using a few iterations and suggestions.
Visit my https://github.com/rock3125 page to view my open-source works.
Rock's Space Invaders was written in 10 minutes using `opencode`.
Core Technical Expertise
- Context Engineering: RAG using OpenAI, Gemini, Ollama
- NLP: Semantic Search, Symbolic Logic, Named Entity Recognition (NER), Pattern Analysis
- Big Data: Spark, Cassandra (noSQL), Hadoop
- Cloud: Azure, Google Cloud (GCP), AWS, Contabo, Linode
- DevOps: Kubernetes, Docker, Terraform, Ansible, CI/CD pipelines
- Languages: Kotlin, Python, Java, C#, C, Rust, Go, React js + TypeScript, C++, SQL, CQL
Professional Experience
- Architected a Graph-based Enterprise Semantic Search Engine utilizing advanced NLP for context-engineering in LLMs.
- Integrated production AI workflows with Gemini, OpenAI, CoPilot, and AWS Bedrock.
- Created, built and maintained a massive codebase (250k+ lines) with 30+ enterprise connectors (SharePoint, OneDrive, Google Drive). Big-data solution for handling millions of Enterprise documents securely.
- Optimized infrastructure using Terraform, Ansible, Ubuntu Server, Kubernetes, and Docker.
- Developed the Visa Assessment Tool (VAT) and Risk Analysis Project using C# and SQL on Azure/Linux.
- Applied Machine Learning for data quality and signal analysis on 170 million unstructured records.
- Utilized Python and neural networks to extract statistically significant values from complex datasets.
- Led AI and NLP research and development, focusing on emotional text analysis and contextual understanding.
- Designed an Automatic Speech Recognition (ASR) system for automated transcription and sentiment analysis.
- Managed deployments using Kubernetes and Docker across Google Cloud and Azure.
- Key member of the Payment Gateway BAU team, responsible for troubleshooting and fixing complex, level-three support issues.
- Performed extensive DevOps environment support and bug analysis for mission-critical financial systems.
- Created an innovative semantic search engine currently utilized by several NZ Government departments (NZTA, MPI, MoH).
- Defined the technical roadmap and led a development team through the full SDLC and IP creation.
- Managed complex integrations with external APIs including SharePoint, CRM, and social media platforms.
Education & Mentorship
- Master of Science in Computer Science – University of Auckland
Thesis in AI, Natural Language Understanding (NLU), and Human Computer Interfaces (HCI). - Bachelor of Science in Computer Science (Honors) – University of Auckland
Awarded Senior Prize in Computer Science. - Machine Learning Certification – Stanford University (Coursera).
Languages & Interests
Outside of engineering, I am a black belt in Wing Tsun Kung Fu and a composer of orchestral music.
