London, UK

Mino De Raj

Software Engineer at Meta, based in London.

Welcome to my personal website. A little about me, what I do, and the easiest way to get in touch.

Get in touch enquiries@minoderaj.com LinkedIn X · @minoderaj

About me

I'm driven by an insatiable curiosity to understand the fundamental truth behind complex problems. This perspective has shaped my approach to software engineering - I believe the most elegant solutions emerge from deep understanding rather than quick fixes.

My philosophy is that asking the right questions is often more challenging and valuable than providing immediate answers. This mindset has guided me through complex technical challenges and helped me deliver impactful solutions.

I thrive on solving challenging problems and am passionate about pushing the boundaries of what's possible through technology. As an engineer, I find joy in coding, creating, and innovating - but what truly motivates me is the potential to contribute to transformative solutions that can make a meaningful difference.

"The best way to predict the future is to create it."

Experience

Software Engineer — Meta

May 2025 – Present · London Area, United Kingdom · Hybrid

Software Engineer at Meta (full-time), working in the London area.

Software Development Engineer — Amazon

Jan 2023 – Apr 2025 · Greater London, United Kingdom · Hybrid

Software Engineer at Prime Video, specialising in scale readiness for live streaming events such as Thursday Night Football.

  • Improved the scale readiness framework for major live events, cutting downstream traffic by 55K TPS through better customer profile simulation and traffic optimisation.
  • Built an enterprise-wide CPU utilisation dashboard for Prime Video services.
  • Architected multi-region scale readiness capabilities and enhanced the Test Override Service, reducing its service traffic by 30%.

Earlier roles

What I do

Software development

Designing and building software, with a focus on clean, maintainable code.

Web applications

Building web experiences that are simple to use and reliable to run.

Problem solving

Breaking down complex problems and turning them into working solutions.

Education

University of Oregon — Master's degree, Computer and Information Sciences · 2013 – 2015
Graduate Teaching Fellow. Research on Adversarial Machine Learning — learning and inference with probabilistic graphical models, under Dr. Daniel Lowd.

Karunya University — Bachelor of Technology (B.Tech.), Computer Engineering

Contact

Use the form below, or email me directly at enquiries@minoderaj.com. Messages to that address reach me directly.

Connect with me on LinkedIn — Mino De Raj, or follow me on X — @minoderaj.