Kushal Byatnal

CEO

New York, New York, United States9 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

CEO of a fast-growing AI document processing startup.
Former early engineer at Brex and software engineer at Google.
Experienced in machine learning and document processing technologies.

Stackforce AI infers this person is a leader in AI-driven document processing and fintech innovation.

Contact

Skills

Core Skills

Document ProcessingMachine LearningNatural Language ProcessingComputer VisionData ModelingData Simulation

Other Skills

pipeline developmentquery understandingDNA sequence comparisonmodel development

About

Building Extend (YC W23). Helping hundreds of teams process their hardest documents. I write about startups, building AI products, and share my learnings on the way to $100M ARR. Previously worked on ML at Google, joined Brex as an early engineer (~#15), and started a fintech company (didn't work, but learned a ton).

Experience

9 yrs 11 mos

Total Experience

1 yr 2 mos

Average Tenure

3 yrs 6 mos

Current Experience

Extend

CEO

Nov 2022 – Present · 3 yrs 6 mos · New York, New York, United States

Parse, extract, and split your hardest documents with unmatched accuracy. Read any layout with specialized vision models, and ship reliable pipelines in minutes, not months.
We're growing incredibly fast and hiring! YC W23
https://www.extend.ai/

document processingmachine learningpipeline developmentcomputer vision

Stir

Co-Founder & CTO

Jan 2020 – Jan 2022 · 2 yrs · San Francisco, California, United States

Where creators run their business. Backed by a16z, Homebrew, Ludlow Ventures, XYZ Capital, CEO's of Patreon, Cameo, Brex, and more.

Brex

Technical Lead

Jan 2018 – Jan 2020 · 2 yrs

Early engineer

Google

Software Engineer

Jan 2017 – Jan 2018 · 1 yr

NLP & Query Understanding

natural language processingquery understanding

Amazon robotics

Software Development Intern

May 2016 – Aug 2016 · 3 mos · North Reading, MA

Applied computer vision techniques to improve efficiency within Amazon fulfillment centers.

computer vision

Magwene lab

Software Development Intern

Sep 2015 – May 2016 · 8 mos · Raleigh-Durham, North Carolina Area

Developed tools for modeling and comparison of yeast DNA sequences to smoothly handle large datasets with intensive visual features (ex. graph panning, simultaneous multi-graph updates).

data modelingDNA sequence comparison