Paul Bernard.
Freelance Software Engineer
I build secure, high-performance software and infrastructure from idea to production.
I am a senior software engineer with over a decade of experience building high-performance, secure, and scalable systems.
I've led engineering efforts and teams across AI, Cybersecurity, and Finance at Google DeepMind, Meta, and Goldman Sachs — designing production-ready platforms and machine learning systems that tackle real-world challenges. I am passionate about solving complex problems through thoughtful design and reliable code.
In recent projects, I focused on developing green-field ML platforms, managing cloud infrastructure, and pushing cutting-edge AI models into production. Previously, I engineered AI systems for cybersecurity at Google and built defenses against large-scale attacks on WhatsApp. My work blends research and engineering to create robust, impactful technology.
Outside of work, I enjoy climbing, reading, playing chess with my 2 sons, and playing or watching competitive video games. In a past life I was also building automated crypto trading platforms and AI poker bots.
Senior AI Software Engineer · IKASI
Built a green-field ML platform to train, evaluate and release state-of-the-art AI models to production. Innovative model design and research to increase model performance and improve clients' key metrics.
Senior AI Security Engineer · Google DeepMind
Applied state-of-the-art ML techniques to cybersecurity efforts, participated in the launch of watermarking tools for Gen-AI content, and helped research teams bake security into real-world ML deployments.
Lead Software Engineer · Meta
Drove machine learning efforts to prevent account takeover and spam on WhatsApp. Partnered with Google's malware team to block coordinated attacks affecting millions of users.
Lead Software Engineer · Goldman Sachs
Architected high-performance trading systems for FX. Grew key monetization streams and helped set strategic direction for platform evolution.
Senior Software Engineer · BNP Paribas
Delivered backend systems for trading infrastructure, supporting pricing, execution and hedging operations on the FX desk.
Software Engineer · Aspect Capital
Developed components of fully-systematic quantitative trading strategies as part of a small tactical teams working directly with Research.
System Architecture
Designing and building scalable, resilient and secure systems.
Frontend & UX
Modern mobile-first UIs with Next.js, Tailwind CSS and TypeScript.
Backend Systems
High-performance APIs, services and platform development.
Data Science
Data pipelines, ETL, storage and processing.
AI & ML Model Design
Model research, training, evaluation and deployment.
Cloud Infrastructure
Secure and scalable deployments using GCP, Kubernetes and Docker.
CI/CD & DevOps
End-to-end automation from commit to production deployment.
Algorithmic Trading
Real-time trading strategies, market-making, and analytics.
Cybersecurity
Secure engineering, threat modeling, and defense strategies.
Coded by me in Cursor, built with Next.js and Tailwind CSS and deployed with Vercel.