Leonid Alekseyev

Backend + data + ML. PhD depth, ADHD breadth. I solve hard problems and steer coding agents toward things you’d actually want to maintain.

San Francisco, California, United States · 1 connection

About

Software engineer with extensive background in big data, numerical computing, and web technologies. Passionate about applying modern machine learning, AI, and data engineering methods to important and interesting problems. Love exercising my strong applied math background, but never shy away from coding business logic, developing infrastructure, or ops and deployment. Past interests include theoretical nano-optics research (including numerical analysis and simulations in Python, Matlab, Mathematica), quantitative finance (R, C++), large-scale data mining (Hadoop ecosystem), and online education.

Experience

Senior Software EngineerMeta
Jan 2025

Principal Software EngineerLedgerDomain
Sep 2018 to Aug 2025

Machine Learning EngineerEdCast Inc
Jan 2016 to Jan 2018

Software EngineerSplunk
Jan 2012 to Jan 2016

Data Mining and Analytics EngineerImageShack Corp.
Sep 2009 to Jan 2011

Visiting research scholarPurdue University
Jan 2007 to Jan 2011

Summer Associate, Quantitative Statistical ArbitrageMerrill Lynch
Jun 2008 to Aug 2008

Education

Princeton University
Ph.D., Electrical Engineering (Optical Physics)
2004 to 2011

Stanford University
MS, Electrical Engineering
2002 to 2003

Stanford University
BS, Physics
1998 to 2002