# Miriam Connor

> Engineering Leader | Advisor @ Kismet Health | formerly-ex-Google | ex-Humu

Location: Mountain View, California, United States
Profile: https://flows.cv/miriamconnor

I'm a people-forward engineering leader and manager who gets hands on. My mission is to organize my team to get the right things done and get them done right. Here are a few of the things I’m good at:

Management: I put people first -- both my team and my users. I manage with empathy and give my reports the right amount of structure and freedom to push them forward in their careers.

Collaboration: My cross-functional teammates tell me I'm a great partner. I have a proven track record of working with product, data science, and domain experts, and I'm a great "translator" between engineering and cross-functional stakeholders.

Technical expertise: My academic background is in natural language processing and linguistics, and I spent ~6 years at Google developing and integrating NLP models into Search and Assistant products. Since then, I’ve kept up with the AI space while expanding my skills across the stack. I’m a highly technical manager, and I love to be hands on. I quickly understand complex systems in depth, even ones in new domains. I’ve regularly contributed code in all my roles, including as a manager of managers.

## Work Experience
### Staff Software Engineer @ Google DeepMind
Jan 2025 – Present

### AI Advisor @ Kismet Health Inc
Jan 2024 – Present
Providing guidance on AI direction and consulting on proof-of-concept AI applications in the current product.

### Head of Engineering @ Kismet Health Inc
Jan 2023 – Jan 2024
Head of Engineering & Founding Member @ www.kismethealth.com

- Led and worked hands-on in 0 to 1 development of the Kismet video telehealth product.
- Managed internal team of 3 engineers + 1 designer; successfully onboarded dev shop.
- Drove definition and scope of the product vision and roadmap for the company.
- Established processes for agile development, QA, and product roadmapping.
- Guided first-time non-technical founders product and strategy decisions and communicated technical and product process with investors.

### Director of Engineering @ Humu
Jan 2022 – Jan 2022
Overall manager/lead for Humu engineering: 22 engineers across 3 teams. Responsible for setting overall engineering strategy to meet company goals.

### Engineering Manager @ Humu
Jan 2019 – Jan 2022
- Manager/lead for a team of 9 engineers, including two line managers.
- Onboarded 5 new engineers, including 2 bootcamp grads, into productive team members.
- Lead development of the Manager Toolkit, Humu’s largest and most complex launch.
- Led development of Humu’s Nudge Engine®, Humu’s  core ranking system and algorithms. Worked closely with the behavior science team to replace a highly manual process with AI.
- Led development of Humu Business Edition and Humu’s first comments analytics tool.

### Senior Software Engineer and Manager @ Google
Jan 2015 – Jan 2019 | Mountain View, CA
Senior software engineer focused on applied Natural Language Understanding. Tech lead and manager for 1.5 years.

Projects:
- understanding ambiguous and confusing user queries for the Google Assistant
- query understanding for Search, Ads, and Shopping
- multilingual coreference resolution
- news document classification
- automated training data generation for dependency parsing systems

### Software Engineer @ Google
Jan 2013 – Jan 2015
- Co-created a system to perform multilingual short-text understanding: a simple semantic parse of short, often ungrammatical texts. Integrated into multiple user-facing products.
- Built a document classifier to identify longform news articles (KDD’15 publication).

### Research Assistant @ Stanford University NLP Group
Jan 2012 – Jan 2013
Redesign of the Stanford Dependencies syntactic formalism and annotation of web text with Stanford Dependencies parses.

### Research Intern @ Center for the Study of Language and Information
Jan 2012 – Jan 2012
Researched how context and other clues affect interpretation of ambiguous phrases, using crowdsourcing platforms like Amazon Mechanical Turk.

### Summer Intern @ Ford Motor Company
Jan 2011 – Jan 2011
Researched the potential of crowdsourced applications to assist drivers of Ford vehicles.  Prototyped and tested an application that used crowdsourcing to help drivers explore their vehicle user's manual.


## Education
### Master of Science (M.S.) in Symbolic Systems
Stanford University

### Bachelor of Arts (B.A.) in Linguistics
Stanford University


## Contact & Social
- LinkedIn: https://linkedin.com/in/miriam-connor-719b6b63

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Source: https://flows.cv/miriamconnor
JSON Resume: https://flows.cv/miriamconnor/resume.json
Last updated: 2026-04-01