Five people. One studio. Lots of agents.

Two decades writing code and a year as a Junior Doctor. Both taught Nick the same thing: elegant solutions come from deeply understanding the problem. He's been running Enspyr since 2013 — 12+ years of full-stack mobile and web for startups and SMEs, deep in agentic AI since before it was cool.

Maths & Computer Science (Monash), then MBBS (UQ), then back to building software. Shipped national mobile deployments (Spectur), worked on ARC-funded research for the Department of Defence, organised Adventures In Dart, Flutter, Firebase in Melbourne 2020–2024 — the meetup that grew into Imagineering.

Mathematician by training, Claude-Code-obsessed by choice. PhD in Mathematics from Université Paris-Est (2011–2013), with a stint in Theoretical Physics research at Jussieu. Master's and Honours from the University of Melbourne. Has lectured at the University of Ottawa.

Nine years at Enspyr as Agentic Engineer — automated AI research agents, custom RAG embeddings, software auditing for production readiness. The repos at github.com/RaggedR go deep: claude-chorus orchestrates multiple Claude instances as a chorus; dreaming-agent is an autonomous research agent that wakes, works, reads, and dreams; melb-tech is an interactive directory of Melbourne's tech community. He also built the Imagineering Dashboard — and helps organise the meetup it watches.

Delia describes herself with rare honesty: “Grit, passion and spite pushes this software engineering graduate outside of the standardised easy-to-follow tutorial called student-hood into messy survival one failure, rejection and ghosting at a time.” That voice — refusing to perform polish she doesn't feel yet — is one of the reasons she fits here.

Bachelor of Technology (Honours) in Computer Software Engineering at Deakin (2022–2025), with a research thesis on Machine and Deep Learning for Mental Health Classification. At Project SunCycle she went from junior developer (four Unity tasks) to project leader of a 20-person VR team in a single capstone — then ran a motion-capture / Unity VR integration internship that wires bike hardware into real-time XR. Now Software Engineer at Enspyr (since May 2026), still concurrently interning at Cultural Infusion on SEO/GEO tooling.

Volunteers in food packaging at Empower and at Edgar's Mission animal shelter. Holds Microsoft's Azure AI Fundamentals certification — and, distinctively, a certificate in Building Self-Confidence. The technical and the personal are both work, both worth listing.

Meghana is a Data Science graduate from the University of Melbourne with a strong focus on artificial intelligence, machine learning, NLP, RAG systems, and data-driven problem solving. She joined Enspyr in 2026 and is passionate about building intelligent AI solutions that solve real-world problems and create meaningful impact.

As an Agentic AI Engineer, she works on AI systems that can reason, retrieve information, use tools, automate workflows, and support decision-making. Her work spans end-to-end AI and data solutions, including data preparation, feature engineering, model development, evaluation, deployment, and LLM-based application development.

Her projects include Roo Jobs, an AI-powered job scraping and screening platform that uses automation, ranking logic, and LLM-based evaluation to match roles more effectively; a RAG-based assistant that retrieves and generates grounded responses from domain-specific documents; and a Polyp Information Extraction System that applies NLP and machine learning to extract structured clinical insights from histopathology reports.

Her experience also includes healthcare analytics, legal AI, and computer vision research, including CNN-based biomedical image classification. She is skilled in Python, SQL, R, AWS, machine learning, NLP, LLMs, RAG, agentic workflows, data pipelines, model evaluation, and cloud-based AI development. She is currently preparing for the AWS Certified Generative AI Developer certification, strengthening her knowledge of generative AI applications, foundation models, RAG architectures, prompt engineering, and responsible AI on AWS.

Adarsha (Adi) is an Agentic Engineer at Enspyr and a Master of Data Science graduate from Monash University, Melbourne (2025). He builds automated evaluation and experimentation tools for language model workflows, designing benchmark runs, assessing outputs, and reporting on cost, accuracy, and reliability when comparing different AI model strategies.

Before joining Enspyr, Adarsha spent six years working as a Project Engineer across two companies in Nepal. During this time, he worked extensively with technical survey data, project performance tracking, and commercial cost analysis for telecommunications and infrastructure projects. His work helped improve data quality and supported budgeting, planning, and decision-making across large operational datasets.

At Enspyr, he applies his skills in SQL, Python, and data analytics to AI systems, with a strong focus on rigorous evaluation, reproducible experimentation, and evidence-based decision-making. He also holds an MBA from Pokhara University, Nepal.