Curriculum Vitae

Education, professional and leadership roles, research, publications, presentations, projects and awards for Lorenzo Satta Chiris.

📍 Exeter (UK) | Rome (Italy) | 📧 [lsattachiris@gmail.com](mailto:lsattachiris@gmail.com) | 🌐 lsattachiris.com | LinkedIn

Languages: Italian (Native), French (Native), English (C2), Spanish (B2)

Education

– Engineering Accredited Degree with strong mathematical, computer science, AI and business/economics components

– Developed “The Pocket Executive”, an investor–founder AI matching app as Team Leader (CEO); awarded 6 ECTS credits.

– 20/20 Mathematics; Further Mathematics.

Projects & Professional Experience

**Directed one of the UK’s largest student-led coding bootcamps, teaching programming to 3,000+ participants across 30 sessions. Designed an award-winning curriculum, trained and managed 70+ mentors, and developed ExCode’s agent-assisted learning infrastructure. Raised $5,000 in funding.

Lead the research branch of the AI Society, organising academic talks, technical workshops, AI paper reviews, and research competitions.

Founded an AI-agent startup developing a proprietary guardrailed multi-agent orchestration framework and built agents for trading, research assistance, and conversational AI. Built and deployed https://rankmeon.ai//, one of the first AEO-scoring platforms, for “AI-search visibility” (AI SEO), helping businesses optimise website visibility and performance across generative-AI ecosystems. Worked as a technical AI Agents consultant.

Directed the research, design, and deployment of GuildBot, the University’s first AI assistant. Worked in a student-led research role, integrating Retrieval-Augmented Generation (RAG), large language models (LLMs), and advanced safety guardrails. Delivered responsible-AI workshops to train staff in ethical agent usage and deployment.

Designed and taught an interdisciplinary digital-skills programme on ethical AI fundamentals across faculties for the University of Exeter. Taught 200+ students with an average course evaluation of 4.2/5.

Scaled the society to 800+ active members, the largest free society at Exeter, organising 30+ entrepreneurship-focused events (workshops, talks, competitions) and a Founder’s Club.

Appointed to enhance student engagement in innovation and enterprise through a student-led initiative. Created new entrepreneurship events and improved existing programmes by leading outreach, marketing, and collaboration between student societies and university teams. Delivered flagship activities such as the Entrepreneurship Fest (100 participants, avg. rating 9/10) and Exeter Does the Apprentice.

Conducted a sustained, self-directed study of over 150 AI papers, summarising insights weekly. This initiative established the conceptual foundations later developed in my dissertation (2025–2026).

Created and coded a smart note-sharing and summarisation platform reaching 500 monthly active users; implemented text-ranking and graph-based knowledge management algorithms and an interactive dashboard (fully manually coded, prior to AI).

Collaborated with a Harvard student to design a social fitness app in Flutter. Recruited and led a 15-member technical team, overseeing interviews, coordination, product development and project management from concept to prototype.

Built and moderated a large gaming community with over 100,000+ messages per month. Developed automated Python moderation and engagement bots, managed infrastructure, and coordinated a moderation team; reached top leaderboards in Italy and globally.

Research & Publication

Lorenzo Satta Chiris and Ayush Mishra. 2026. **Status: Preprint https://arxiv.org/pdf/2510.15739. Presented at MLCon Amsterdam. Summary: Proposes a novel alignment and assessment framework to quantify, monitor and mitigate risks in AI agents, mathematically balancing autonomy and oversight.

Lorenzo Satta Chiris, Emil Archambeau, Francesca Mignogna. 2025. Status: Published, Exeter Economics Review: https://lsattachiris.com/agi-paper Summary: AGI could be the most disruptive force in economic history, enabling unprecedented abundance or triggering collapse through inequality, displacement and loss of control. The paper, through scenario modelling, argues that future outcomes depend both on the technology and on proactive governance, institutions and ownership structures guiding its deployment.

Lorenzo Satta Chiris. 2026. Thesis, University of Exeter. Summary: Reframes AGI alignment as a structural reachability problem: systems should be architected so misaligned actions are not available in the executable action space, under generalisation, self-modification and capability gain.

Lorenzo Satta Chiris. 2024. Commissioned by the University of Exeter, Faculty of Environment, Science and Economy (ESE). Status: Internal technical report delivered to the BEng/MEng Programme Directors and the Director of Education. Summary: A comprehensive mixed-methods research study combining literature, interviews, surveys and web-analytics to identify the key factors influencing student interest in the Engineering and Entrepreneurship degree. The report introduced actionable recommendations on programme positioning, recruitment strategy, and keyword optimisation, and has since informed faculty-level discussions on future degree marketing and curriculum design.

Lorenzo Satta Chiris and Fin Harris. 2025. Status: Under submission at Advance Higher Education AI Symposium. **Summary: A large-scale field study involving 500+ students pioneering the use of Generative-AI driven Multi-Agent Architectures to design and evaluate ethical, identity-aware personalised coding workshops. The system dynamically adapts learning tasks while keeping difficulty and learning objectives consistent, marking one of the first large-scale experiments to demonstrate that generative agents can improve objective, subjective and inclusivity metrics in higher-education.

Lorenzo Satta Chiris. 2020–2022. Status: Independent publication: 200,000 readers and 1,500 newsletter subscribers. Summary: Founder and primary writer of a large-scale educational blog and newsletter ecosystem aimed at making programming learning engaging, visual, and community-driven. Combined interactive code snippets, humour, and multimedia to teach core computer-science concepts in an accessible way. Reached over 200,000 reads and 1,500 subscribers (weekly newsletter).

Lorenzo Satta Chiris. 2025. Summary: A framework and empirical analysis of LLM behaviours in adversarial situations with over 100,000 simulated scenarios.

Lorenzo Satta Chiris. 2026. Dissertation, University of Exeter. Status: In Progress Summary: An interdisciplinary study proposing a conceptual and evaluative framework for the development of safe and ethical AGI. Integrates perspectives from AI alignment, governance, philosophy of mind, and computational modelling to examine how definitions of autonomy, responsibility, and control can be formalised. Establishes quantitative and normative criteria for assessing AGI systems across technical, ethical, and societal dimensions.

Speaking & Academic Engagements

Awards & Honours

Merit-based scholarship awarded to high-achieving international students for academic excellence and potential.

Awarded for exceptional contribution to student life through innovation, creativity, and leadership in educational change. Also nominee for the Academic Experience, the Student Empowerment and the Opportunities for All Awards (2025).

Recognised as an emerging entrepreneurial leader for outstanding innovation and impact within the university startup ecosystem.

Finalist, Best Education Initiative in the South West (2024, 2025); Winner, Cluster Award for Best & Most Innovative Organisation (across 300+ entries, 2024).

Shortlisted for exemplary leadership and management contributions to university-wide initiatives.

Recognised for professional development and engagement in entrepreneurship, leadership, and employability initiatives.

Hackathons & Competitions

****Data4Good AI neural network and visualisation project on California wildfire prediction using satellite and environmental data. Presented to a panel of professional judges.

***Designed, simulated, and built an autonomous vehicle from concept to physical prototype. Led CAD modelling in SolidWorks*, control simulation, and real-world lab testing; presented results through a live demonstration, research poster, Bill of Materials and technical pitch before a professional judging panel of Chartered Engineers.

1st place among 70+ teams for entrepreneurial engineering innovation projects. Presenting agreo, a drone-based agricultural mapping and AI-driven insights project for farmers.

****Designed and pitched an AI-powered navigation system for an autonomous boat capable of detecting and collecting floating waste using computer vision and path-optimisation algorithms.

****Developed an educational space simulation app promoting Earth-observing missions. Enabled users to build virtual satellites and benchmark them against real NASA missions using AI-driven evaluation and AR visualisation. Presented the project to a panel of eight international judges.

****Designed a prototype Machine Learning toolbox assisting in the creation of MLOps pipelines; awarded participation certificate.

Selected for SETsquared-backed entrepreneurship support programmes with early-stage AI startup oorbital.

Intensive international innovation programme led by Prof. Gigi Wang (UC Berkeley), focused on venture creation, pitching, and technological product design.

Certifications & Technical Courses

Advanced course sequence on deep learning, computer vision, and model optimisation with TensorFlow (Python).

Practical training in model deployment pipelines, automation, and scalability in Python and Rust.

Intensive live industry programme on GPT architectures, prompt engineering, model fine-tuning, RAG, and AI agents. Presented an individual AI project.

Introductory theoretical and ethical foundations of artificial intelligence.

Core concepts in Python analytics, visualisation, and supervised learning.

Full-stack software engineering foundations in JavaScript, Python, and Java.

Design systems, user experience research, and interface prototyping.

Organisational leadership and adaptive management.

Engineering ethics and social responsibility.

Technical Skills

Experienced in full-stack and AI systems engineering: from machine learning pipelines and LLM deployment to web applications, simulation, and automation environments.