About
I’m a quantitative developer in NYC. I studied Computer Science at Dartmouth College. I’m very into cycling, playing guitar, and photography.
I enjoy learning CS theory, in particular graphics and rendering. My research was on Monte Carlo sampling theory, and I hope to continue contributing to the field. Outside of graphics, I find compilers and type theory rather interesting, and I like interesting programming languages like Rust, Haskell, and Idris.
Contact
You can reach me at afnan <at> afnan <dot> io.
I use PGP keys to sign and encrypt my emails. My public key is probably available on the usual public key servers. You can also access it here.
Experience
Professional
- Quantitative Developer at Millennium (2025 - present)
- Quantitative Research Engineer at Citadel/Global Quantitative Strategies (GQS) (2020 - 2024)
- Software engineer at Blend Labs on the infrastructure team (2019 - 2020)
- Interned at Capital One doing machine learning work with Payments API team (2018)
- Interned for Blend Labs on the infrastructure team (2017)
- Interned at Microsoft on the Windows core quality team (2015)
Academic
Works
Research
- Conducted research with Wojciech Jarosz of Dartmouth’s Visual Computing Lab and Pixar, researching potential ways to speed up Monte Carlo rendering using orthogonal arrays.
- Conducted research with the Department of Defense for a conceptual virtual reality simulation of the Battle of 73rd Easting with Dr. Joseph M. Rosen
- Researched using nanomagnets to replace transistors at Virginia Commonwealth University Nuclear and Mechanical Engineering Department with Professor Jayasimha Atulasimha
Relevant coursework
- Discrete Math
- Algorithms
- Mobile Programming (Android app dev)
- Software Development and Implementation (learned C, shell scripting)
- Machine Learning
- Rendering Algorithms
- Compilers
- Deep Learning
- Cognitive Computing with Watson