Hi, I'm Greg Gawron - Senior Staff Software Engineer, Gemini for Cloud at Google
I am driven by the intersection of rigorous mathematics and scalable software. I thrive in complex environments where I can translate deep research into robust, privacy-first distributed systems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Completed a PhD in Computer Science focusing on Computational Social Choice.
Currently leading Gemini for Cloud engineering as a Senior Staff Software Engineer.
Can provide expert guidance on balancing rigorous system design with large-scale production demands.
🚀 Career trajectory
Quantitative Finance Era
Built foundational skills in electronic trading, risk management, and derivatives within investment banking.
✦ FinTech
✦ Risk Analysis
Research Integration
Transitioned into academic research while bridging distributed systems with economics and computer science.
✦ PhD
✦ Formal Methods
AI & Cloud Frontiers
Applying advanced research to AI safety and cloud-native intelligence platforms at industry-leading scales.
✦ AI Research
✦ Cloud Engineering
💪🏻 Superpowers
Mathematical Architect
Engineering reliability through formal systems design
✦ Develops robust frameworks for privacy-enhancing technologies.
✦ Applies computational social choice theory to system architecture.
✦ Translates high-level research into production-grade distributed code.
Domain Strategist
Navigating technical complexity across diverse industries
✦ Optimizes high-frequency electronic trading systems for performance.
✦ Leads organizational change within competitive financial markets.
✦ Aligns technical research goals with enterprise-scale business needs.
Innovation Accelerator
Driving cross-functional execution in AI and Cloud
✦ Guides Gemini for Cloud development through strategic engineering.
✦ Manages multi-disciplinary teams in high-growth environments.
✦ Institutionalizes safety standards within fast-paced AI product cycles.
I'm excited about
✦ Exploring advancements in privacy-enhancing technologies with like-minded peers.
✦ Engaging with communities centered on the ethical deployment of AI.
✦ Contributing to high-level discussions on distributed systems architecture and research.
I can help with
✦ Mentoring engineers on bridging the gap between academic theory and production.
✦ Advising on architectural strategies for complex, high-scale distributed systems.
✦ Providing technical oversight for teams balancing innovation and safety.
I would love your help on
✦ Learning more about emerging frameworks in sovereign cloud infrastructure.
✦ Connecting with experts in cutting-edge computational social choice applications.
✦ Gaining insights into the evolving landscape of global AI policy.