Hi, I'm Francisco Livraghi, a software engineer and startup founder specializing in AI/ML pipelines and financial data systems. I lead product strategy and engineering initiatives, shipping rapid updates driven by user feedback, and I am passionate about fintech, AI safety, and building scalable platforms that turn data into actionable insights.

Francisco Livraghi

Hi, I'm Francisco Livraghi, a software engineer and startup founder specializing in AI/ML pipelines and financial data systems. I lead product strategy and engineering initiatives, shipping rapid updates driven by user feedback, and I am passionate about fintech, AI safety, and building scalable platforms that turn data into actionable insights.

Available to hire

Hi, I’m Francisco Livraghi, a software engineer and startup founder specializing in AI/ML pipelines and financial data systems.

I lead product strategy and engineering initiatives, shipping rapid updates driven by user feedback, and I am passionate about fintech, AI safety, and building scalable platforms that turn data into actionable insights.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Portuguese
Fluent
English
Fluent
French
Intermediate
Spanish; Castilian
Intermediate

Work Experience

Co-Founder & CTO at Advanced Capital Management (ACM)
January 1, 2024 - Present
Launched as a spin-off from Instituto Superior Técnico; selected as an Alpha Startup at Web Summit and featured in the Portugal Fintech Report 2025. Developed quantitative trading strategies utilizing Deep Learning and ML models for automated signal generation, while architecting a parallel LLM-driven research environment to synthesize financial insights. Led product strategy and technical execution, managing rapid release cycles based on direct user feedback loops.
Data Annotation Platform Developer at Comudel
October 1, 2025 - Present
Developed internal annotation infrastructure to generate high-fidelity training data for proprietary finance and accounting models. Engineered programmatic QC (Quality Control) workflows to detect label inconsistencies, significantly lowering noise in training datasets. Established the feedback loop between model failure modes and data guidelines to drive iterative model performance improvements.

Education

B.S. at Instituto Superior Técnico (University of Lisbon)
January 11, 2030 - January 1, 2026
Certificate Program in Applied Generative AI at Johns Hopkins University
January 11, 2030 - January 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more