
I am a mathematician turned engineer driven by the challenge of translating complex logic into high-performance code. I thrive in rigorous technical environments where I can build reliable, scalable systems.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Earned a PhD from Brown University with a specialization in stochastic differential equations and numerical analysis.
Functions as a Staff Software Engineer at YouTube with a focus on large-scale system performance and C++.
Offers technical mentorship for engineers looking to bridge the gap between advanced mathematics and software production.
🚀 Career trajectory
Academic Foundation
Completed PhD at Brown focusing on probability and numerical differential equations.
✦ Researcher
✦ PhD
Scale Specialist
Transitioned to Google, focusing on large-scale software engineering and complex system architecture.
✦ Core Infrastructure
Product Impact
Currently scaling high-performance engineering systems within YouTube's global ecosystem.
✦ YouTube
✦ Staff Engineer
💪🏻 Superpowers
Algorithmic Architect
Engineering performance through mathematical rigor
✦ Translate stochastic modeling into efficient C++ infrastructure
✦ Optimize complex data pipelines using numerical analysis
Technical Strategist
Bridging research with scalable execution
✦ Simplify intricate financial models into executable software
✦ Design scalable frameworks for high-stakes problem solving
Collaborative Engineer
Driving team excellence through clear communication
✦ Simplify technical concepts for cross-functional stakeholders
✦ Mentor peers in object-oriented design patterns
I'm excited about
✦ Seeking cross-domain collaboration with professionals in quant finance and data science.
✦ Aiming to exchange insights on the intersection of stochastic modeling and machine learning.
✦ Looking to join high-impact communities focused on advanced systems architecture.
I can help with
✦ Providing expert guidance on optimizing complex numerical C++ codebases.
✦ Mentoring on transitioning from academic research to production-level engineering.
✦ Advising teams on applying statistical modeling to infrastructure design.
I would love your help on
✦ Seeking advice on navigating the evolution of AI-driven systems in finance.
✦ Looking for perspectives on emerging patterns in large-scale data processing.
✦ Interested in discovering new frameworks for high-concurrency systems.