Hi, Goutham here. I’m a software engineer specializing in the design, analysis, and construction of data-intensive software systems for mathematical modeling, simulation, and optimization.

What does this mean? How the input data gets prepared, how the math is implemented on top of the data, and how to rigorously measure and adjust usefulness are all fair game for me. I love working backwards from organizational goals to figure out how best to enable my colleagues in end-to-end execution, both at startups and with smaller teams at large companies. I do this work through my consultancy, DataTailor, for larger time-bounded projects, and individually for longer-term, combined strategic and technology advisory services.

I’ve also pursued this work as an AI/ML engineer within Big Tech. Most recently, at Meta’s Reality Labs, where I led multiple teams against the biggest bottleneck for our ML-related research into AR input & interaction - better creation and utilization of curated data to fine-tune vision language foundation models, add supplementary input modalities, and/or increase alignment with human feedback. And before that, at Apple, where I developed on-device ML models, including leading the transition of the single tap Smart Reply feature on the watch to a (much better) Transformer-based model.

I’m based out of Seattle, WA. Outside of work, you can usually find me jogging, singing in a choir, practicing my South Indian cooking skills on my patient wife, or trying to formulate my own understanding of various mathematics, statistics, computer science, & (lately) physics research. Once upon a time, I worked on deanonymizing early Bitcoin transactors. I graduated from Harvard College in 2007 with a degree in Mathematics, where I researched mathematical properties of population evolution in networks.