Chuma
Kabaghe.

Building a better tomorrow, one line of code at a time.

A builder at heart, passionate about using technology to solve meaningful problems.

Inspired by AI's potential to level the playing field for entrepreneurs, I founded Nexel, an AI platform that gave small companies the same automation capabilities as tech giants, raising over $1M in venture funding.

With experience teaching AI at Stanford, leading engineering teams at Clockwise, and building scalable products at Microsoft, I excel at turning complex ideas into impactful solutions. My expertise lies in early-stage product development, artificial intelligence, and building systems that streamline complex operations.

I recharge by playing soccer, listening to podcasts, and drinking good tea. I've also bungee jumped off the Bloukrans Bridge (216 metres/ 709 ft) and Victoria Falls Bridge (111 metres/ 364 ft), and performed in a flying trapeze show.

2025 – Present
Sonnet & Co.
San Francisco, CA

✨ You're absolutely right.

2023 – 2025
Founder & CEO
Nexel
San Francisco, CA

I founded Nexel, an AI platform automating compliance and back-office tasks for small businesses, securing $1M+ in VC funding from Jeff Weiner's firm (Next Play Ventures), Westbound Equity, and a group of exceptional angel investors. I built and led a multidisciplinary team of four, developed the first product version, and refined the business strategy through market research and customer feedback.

2020 – 2023
Tech Lead / Senior Software Engineer
Clockwise
San Francisco, CA

Clockwise is an AI-powered calendar assistant that helps teams by automatically scheduling meetings and protecting time for focused work.

Joined when the company was 17 employees and helped it grow to ~100 employees by recruiting, interviewing and mentoring new teammates. I led teams and developed key features of Clockwise's product, including Clockwise Links, Flexible Calendar Holds, One-On-One Meeting Dashboard, and integrations with Asana and Slack, during a period of rapid user growth.

2018 – 2020
Course Assistant / Research Assistant
Stanford University
Stanford, CA

Assisted in teaching CS 221 (AI) and CS 124 (NLP), supporting 300+ students per quarter by leading discussion sections, holding office hours, and designing/grading assignments and exams.
Discovered and analyzed new examples of "polyperceivable" audio, revealing that over 2% of English words may exhibit this phenomenon, as detailed in our paper Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio.

2015 – 2018
Software Engineer
Microsoft
Redmond, WA

Developed prototypes to validate next generation Windows applications. Led technical strategy for Mixed Reality Avatar services, and implemented a cloud-based rendering service for Xbox avatars serving millions.

A subset of fun things I've built.

A collection of podcasts I've enjoyed in no particular order.

Black Box Down

Black Box Down

The Economics of Everyday Things

The Economics of Everyday Things

Lateral

Lateral

The Lazarus Heist

The Lazarus Heist

Where Should We Begin?

Where Should We Begin? with Esther Perel

Dateline

Dateline

Against the Odds

Against the Odds

Cold Call

Cold Call

50 Things That Define Zambia

50 Things That Define Zambia

99% Invisible

99% Invisible

The Daily

The Daily

Hard Fork

Hard Fork

Modern Love

Modern Love

Normal Gossip

Normal Gossip

Nothing Much Happens

Nothing Much Happens: bedtime stories to help you sleep

On the Media

On the Media

This is Uncomfortable

This is Uncomfortable

The Women's Game

The Women's Game

Heavyweight

Heavyweight

Freakonomics Radio

Freakonomics Radio

The RE-CAP Show

The RE-CAP Show

Business Breakdowns

Business Breakdowns

Business Wars

Business Wars

Stanford University
Master of Science
Computer Science, focus in Artificial Intelligence
Classes I enjoyed
  • The Lean LaunchPad (ENGR 245)
  • Incentives in Computer Science (CS 269I)
  • The Modern Algorithmic Toolbox (CS 168)
  • Deep Learning (CS 230)
University of Illinois at Urbana-Champaign
Bachelor of Science, Honors
Computer Engineering
Classes I enjoyed
  • Artificial Intelligence (ECE 448)
  • From Idea to Enterprise (TE 298)
  • Making Sense of Big Data (ECE 398BD)
  • Data Structures (CS 225)
  • Innovation and Engineering Design (ECE 398PSC)
  • Discrete Structures (CS 173)

A mix of projects, experiments, and proud moments.