Giovanni Stephens - CV/Resume

Graduate Diploma in Information Sciences with focus on algorithms, data structures, machine learning, data modelling, software engineering tools and practices, agile project management, web development, cloud computing, parallel computing and concurrency.

Postgraduate Diploma in Commerce with specialisation in Finance.

Bachelor of Commerce in Finance, endorsed in Software Engineering.

• Co-founded BAITL (Bringing AI To Life), a self-service kiosk platform for healthcare clinics: patient check-in, walk-in booking, and integrated EFTPOS, POLi, and bank-transfer payments, with Cliniko as the system of record
• Owning the end-to-end build: Next.js 16 + React 19 frontend on Vercel, Go + ConnectRPC backend on Cloud Run, Supabase Postgres with row-level security, Clerk for staff auth, and AES-256-GCM encryption for kiosk PII
• Deliberately built as a thin layer rather than a data warehouse: no clinical data stored, card details never touch our servers, and clinics keep Cliniko as the source of truth for appointments, invoices, and reconciliation

• Building the AI agents that power Alcova's operating system for wealth management, with a focus on the agents themselves and the tooling behind them
• Working at the frontier of agentic systems, giving agents the ability to plan, reason, and take genuine work off financial advisers' plates, rather than just answer questions
• Hands-on across agent architecture, evaluations, and developer tooling that lets new capabilities ship safely

• Managing a private portfolio spanning impact investment and venture capital
• Fund investments: Purpose Capital Impact Fund, Nuance Connected Capital, Icehouse Ventures, Pacific Channel
• Venture network investments: Enterprise Angels and private holdings

• Advised the council on how to invest more effectively in community outcomes through grants and strategic support
• Managed the QLDC Community Fund and provided strategic advice on funding priorities and where the district's needs were greatest
• Designed and ran The Funding Series with a great team, a multi-session capability-building programme to help community groups become more financially sustainable

• Managed HFT, systematic trading strategies tailored for European energy markets, optimising trade execution and risk offsetting efficiency
• Monitored and analysed weather patterns to inform systematic energy trading decisions, enhancing strategy development
• Helped develop HFT strategies operating at micro/nanosecond speeds using C++ and cutting-edge technology

• Managed high-frequency systematic trading (HFT) systems and strategies at micro/nanosecond speeds using FPGA, C++, and proprietary languages
• Consistently outperformed competitors in speed while trading futures on CME and ICE
• Applied machine learning models such as XGBoost, random forests, simple regressions, and decision trees to anticipate market events

• Evangelist for machine learning at QRC, showing what ML and AI can do for everyday curly problems
• Provide course advisory for new data and machine learning programme development
• Give tech talks on machine learning and AI; run info sessions and support prospective students

• Interacted with dozens of ventures focused on community and environmental impact, evaluating where funds would have most positive effect
• Provided analysis and research using Power BI, advanced Excel modelling
• Led research in "impact" measurement and management KPIs

• Created intuitive reports and analyses for business units using Power BI for visualisation
• Wrangled data and performed data modelling using SQL across multiple databases including Snowflake, Azure SQL DB, MS SQL Server, and Oracle
• Used advanced analytics and Machine Learning for sophisticated analyses

• Automated approximately 4 hours of daily work through process improvements and scripting
• Managed institutional trades settlements and supervised junior team members
• Resolved issues and discrepancies involving large counterparties like JP Morgan, BNP Paribas, among others

• Responsible for all fixed interest trade settlements
• Automated approximately 4-5 hours of daily work through process improvements
• Promoted to institutional role within 3 months

• Created various data entry tools and portals for contractors
• Provided reporting to board level
• Managed project documentation and administrative processes

• Coordinated the loans team and workflow management
• Provided information and guidance to clients
• Created financial calculators to facilitate business operations

Created the financial plan and projections, running NPV and IRR analyses to evaluate business opportunities.

Taught finance and statistics to university students, providing both classroom instruction and one-on-one tutoring.