___ _ ___ _ _ / _ \ _ __ ___ (_) _ __ / _ \ ___ | | __ ___ _ _(_) | |_| || '_ ` _ \| || '__|/ | | |/ __|| |/ // _ \| | | | | | _ || | | | | || || | | |_| |\__ \| <| (_) || |_| | | |_| |_||_| |_| |_||_||_| \___/ |___/|_|\_\\___/ \__,_|_|
Amir Oskoui
Founder, OSKO Technology
Welcome
Hi, I'm Amir. I'm a software engineer and entrepreneur based in the Washington, D.C. area. My background is a bit nonlinear—I studied physics and math in undergrad, then pivoted to financial engineering and machine learning at Columbia. I've spent time building high-frequency trading systems, shipping products at Amazon and Capital One, and now I run my own agency. I started OSKO Technology because I like to move fast, build things right, and cut everything else—Occam's razor applied to software delivery. When I'm not working, you'll find me learning a new sport, in the gym, or playing Super Smash Bros against my brothers.
Education
- M.S., Financial Engineering (ML Focus) — Columbia University
- B.S., Physics (Math Focus) — University of Maryland, College Park
Experience
I've worked at and consulted for a range of organizations, from hedge funds to big tech:
- OSKO Technology (Founder)
- Capital One
- Amazon
- Tanius Technology
- FDA — EMC Lab
Research Interests
- Machine learning applications in quantitative finance
- High-frequency trading & market microstructure
- Computational methods for option pricing
- Electromagnetic compatibility in medical devices
- Theoretical physics & supersymmetry
Selected Publications
- A. Hirsa, T. Karatas, A. Oskoui, “Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes,” arXiv preprint, 2019. [arXiv]
- S. J. Gates, T. Grover, M. D. Miller-Dickson, B. A. Mondal, A. Oskoui, S. Regmi, E. Ross, R. Shetty, “A Lorentz Covariant Holoraumy-Induced ‘Gadget’ From Minimal Off-Shell 4D, N = 1 Supermultiplets,” Journal of High Energy Physics, 2015. [arXiv]
- H. Bassen, M. Mariani, D. P. Cabrera, A. Oskoui, “Conducted EMC Testing Reveals Malfunctions in Automated External Defibrillators with Patient Leads Connected,” IEEE Electromagnetic Compatibility Magazine, vol. 8, no. 2, 2019. [IEEE]