NLP excites me because my work helps millions of people around the world every day.
When I first started working here, I was hired as a research scientist.
Take us through a recent workday.
As a single mom, my day starts by getting my son ready for school.
I savor these moments because I know these memories are fleeting!
Mornings are especially hectic, and heavy multitasking is required to get everything done.
While my son watches TV, I make him breakfast and myself a coffee before checking email or Slack.
I typically begin by catching up with my team while sipping on an Americano.
What apps, gadgets, or tools cant you live without?
Its so versatile and powerfulyou can use it for anything!
Whats your workspace setup like?
My desk is a sit/stand desk (which I take advantage of for my post-lunch standing time).
My personal workspace includes lots of natural light and plants.
Theres also an external monitor, sticky notes, and a legal pad with plenty of pens.
My favorite key in of pens are Paper Mate Flair pens.
I find that writing with the fine felt tip is a great mental break.
Whats your favorite shortcut or hack?
In general, if theres a way of maybe optimizing my workspace or desktop, Im trying it.
But I have two shortcuts that Im very conscious about using.
The first is that I venture to avoid using my mouse as much as possible.
As a result, I save time and frustration by avoiding switching from tab to tab.
This is especially significant because in my role I have to analyze and compare large sets of data.
The tool is perfect for helping me visualize sets side by side.
Since we met, weve been video conferencing every other week and often talk about work-related opportunities or challenges.
How do you recharge or take a break?
What are you currently reading, or what do you recommend?
Ive experienced a lot of changes in my role this year.
Ive been tasked with leading and building out a brand-new team.
Whats the best advice youve ever received?
If youre unsatisfied with a certain experience or situation, always look to yourself first before turning to others.
Whats a problem youre still trying to solve?
Working on an engineering product with such human goals is definitely not an easy challenge.
Grammarly is powered by AIa combination of rule-based, deep learning and machine learning approaches.
I lead a team at Grammarly dedicated to creating these large-scale datasets for training our AI models.
The eternal problem that we face is: How do you handle the trade-off between quality and available resources?
We are very concerned with having high-quality dataespecially data that doesnt introduce or perpetuate bias in language.
