Professional Summary
AI-native builder and technical systems architect with expertise in end-to-end product development. Experienced in investment analysis, systems architecture, and technical delivery.
Employment
Technical Systems Architect - ID Theory
May 2024 to Present- ●Architected and built a comprehensive internal data infrastructure supporting investment, risk, and operational workflows.
- ●Developed full-stack portfolio analytics dashboards, APIs, and research AI agents for fund automation.
- ●Built large-scale asset-scanning systems identifying emerging sectors, narratives, and quantitative signals.
Investment Analyst - ID Theory
August 2022 to May 2024- ●Sourced and conducted due diligence on venture/liquid investments with focus on AI, autonomous agent infrastructure, and machine learning.
- ●Led technical analysis on AI/ML-driven investment opportunities focused on distributed compute, inference, training, and agent coordination.
- ●Lead on mutual fund committee seats (e.g. Seedclub AI Ventures & Metropolis AI DAO).
Operations Executive - ID Theory
August 2021 to February 2023- ●Designed and maintained portfolio management systems in Excel (VBA) and Power BI for a multi-chain portfolio.
- ●Led two annual audits end-to-end as primary liaison to third-party administrators and auditors.
- ●Managed monthly NAV reconciliations, investor reporting, and operational workflows.
Projects
myaicards(Independent Project)
- ●AI-powered greeting card platform (in beta testing) using image generation models to transform personal memories into printed cards.
- ●Built end-to-end: concept to production including microservices architecture handling image generation, ordering, payment, and print-on-demand fulfilment.
LLM Evaluation Platform
(Independent Project)- ●Blind, automated LLM benchmark comparing model capabilities across major providers.
- ●Implemented anonymised outputs, peer LLM cross-scoring, and aggregated rankings with analytics dashboard.
AI Vulnerability Assessment Platform(Collaborative Project)
- ●Operationalised research paper on human vulnerability to AI into a web platform with a dynamic questionnaire.
- ●Implemented 0-100 AI Vulnerability Score with analytics for user benchmarking and large-scale data collection.
Technical Skills
AI Tools:
Claude Code, Codex, MCP servers
Languages:
Python (backend, analytics, ML), TypeScript/JavaScript (frontend, Node.js)
Infrastructure:
AWS, Google Cloud, DigitalOcean, Vercel, Docker, CI/CD, Git, Ansible, Kubernetes
Databases:
PostgreSQL, MongoDB, Redis
Web & APIs:
REST APIs, WebSockets, Webhooks, RPCs
OS:
Arch Linux (daily driver), Ubuntu (servers), macOS (mobile)
Education
Machine Learning & Data Science - Le Wagon
May 2024 to November 2024- ●Intensive program covering supervised/unsupervised ML, deep learning, and model deployment.
- ●Developed ResNet-based binary classification model for mushroom toxicity detection on Kaggle dataset (20.5k training, 5.2k validation, 6.4k test images) achieving 90.57% accuracy and 0.94 AUC.
Additional
Writing: Co-author of "The Post-Human Economy"
Interests: Endurance sports (Ironman 70.3 Mallorca competitor), golf, skiing, PC tinkering, linux ricing, AI developments, technology.