Stefano Torre

Advising on advanced data and AI initiatives while evaluating long-term opportunities in analytics, technology, and product leadership. Supporting early-stage work in ML, data infrastructure, and human–AI system design, with a focus on building functional proof-of-concept systems and sharpening modern full-stack capabilities. Each project is approached with a strong product mindset, prioritizing usability, secure workflows, and iterative feedback. Selected Projects & Initiatives: - Developed a secure web app to manage the automated scoring of neuropsychological tests, with complete role-based access control and patient privacy safeguards. - Designed and implemented a fully functional proof-of-concept web platform for a carbon credit marketplace, covering architecture, backend development, user workflows, and transaction logic. - Designed and built an LLM-driven system to extract structured database entries from natural language, with schema validation and multi-step orchestration. - Created a frontend interface to test and refine user interaction with the LLM system, integrating prompt tuning and feedback loops. - Built and deployed multiple web apps using Django and Django+React to deepen expertise in cloud-native architectures and CI/CD workflows. - Deployed applications to AWS and Azure, setting up secure environments and implementing infrastructure-as-code principles.

Joined Lightbox at inception and played a central role in shaping its growth, from engaging first clients to leading technical and strategic delivery of advanced data solutions. My work spanned technical delivery, team leadership, and strategic advisory, combining hands-on development with direct interaction with clients and stakeholders. ▸ Strategy & Leadership - Helped define product and service strategy, guiding the evolution of Lightbox’s AI and analytics offering. - Built and led a multidisciplinary team across data science, engineering, and consulting roles. - Led project scoping and delivery for clients in finance, industry, and public services. - Acted as a trusted advisor to senior stakeholders, aligning AI initiatives with business priorities. ▸ Technical Design & Delivery - Designed ML solutions for time-series forecasting, credit scoring, and portfolio optimisation. - Delivered data pipelines, dashboards, and decision-support tools tailored to client operations. - Balanced trade-offs between complexity, maintainability, and stakeholder needs in production systems. - Contributed directly to codebases and solution architecture throughout the delivery lifecycle. ▸ Highlighted Contributions - Led the design and deployment of a real-time analytics platform for financial strategy execution. - Developed predictive models used by multiple clients in the automotive and finance sectors. - Supported innovation projects, including feasibility studies in renewable energy and infrastructure.

Worked at a family office with a focus on global investment strategies and early-stage opportunities in science, technology, and lifestyle. Contributed to fund strategy, research, and private market evaluation, combining quantitative modelling with broader portfolio insights. - Contributed to the development and monitoring of multi-asset investment strategies, with a focus on volatility arbitrage and macro-hedged positions. - Supported tactical and structural allocation by analysing fund performance, market risk, and correlation structures. - Collaborated on internal tools for portfolio tracking, scenario testing, and risk attribution. - Participated in early-stage investment assessments, reviewing opportunities in emerging sectors.

Led software, analysis, and coordination efforts for the NEMO-3 and SuperNEMO experiments, focused on detecting rare nuclear decay processes and advancing detector design. - Designed and maintained the collaborative analysis framework for NEMO-3, enabling concurrent development, simulation, and validation across multiple research teams. - Coordinated final data analyses for the experiment, acting as analysis lead and co-coordinator for the NEMO-3 collaboration. - Led the publication of NEMO-3’s final results. - Contributed to detector R&D for SuperNEMO, including validation of optical modules, calorimeter and tracker prototyping, and commissioning of data acquisition systems. - Presented results and methodology at major international conferences, and internally reviewed high-impact publications. - Supervised undergraduate and graduate students; taught and demonstrated in programming and physics courses.

Worked in the ETF market-making division of LaBranche & Co., a US-based specialist firm providing liquidity across equity, commodity, and fixed-income indices. Supported both front-office and middle-office functions with quantitative tools and automation. - Developed pricing, hedging, and risk monitoring models for ETF trading strategies across diverse asset classes. - Built and maintained real-time analytics to track market conditions, P&L, and portfolio exposure. - Automated reconciliation workflows, reducing daily processing time by 50% and improving operational robustness. - Collaborated with internal developers to integrate trading logic and analytics into proprietary systems. - Provided analytics to support portfolio risk management and strategy performance attribution.