# Shaun Singh

> AI@Glean

Location: San Francisco, California, United States
Profile: https://flows.cv/shaunsingh

## Work Experience
### Software Engineer @ Glean
Jan 2025 – Present | Palo Alto, California, United States

### Founder/Quantitative Researcher @ Conduit
Jan 2022 – Jan 2024 | San Francisco, California, United States
Spun-out a high frequency cryptocurrency trading firm from within Framework Ventures. Raised capital to pursue HFT opportunities within crypto, and managed to become a top-20 firm on notable crypto exchanges.

My day-to-day work focused on quantitative research, but also included simulation infrastructure and methodologies, data infrastructure, and hardware procurement/provisioning,

### Quantitative Researcher @ Framework Ventures
Jan 2021 – Jan 2021 | San Francisco, California, United States
Web3 Trading Research, incubated Conduit within the Framework umbrella

### Research Engineer (Core Data Science) @ Facebook
Jan 2017 – Jan 2021
Engineering Lead/Founding Engineer on the Adaptive Experimentation team in Facebook's Core Data Science: https://research.fb.com/teams/core-data-science/

I was the first software engineer to join Core Data Science, focused on bringing novel statistical methodology to production systems. The majority of my work was focused on sequential decision making (Bayesian Optimization, Contextual Bandits, and RL). 

A major part of my work was the creation of Ax, an open source library used for sequential experimentation and hyperparameter optimization: https://github.com/facebook/Ax. 

I also helped to build a contextual bandit framework at Facebook.

### Software Engineer @ Facebook
Jan 2016 – Jan 2017 | Menlo Park, California, United States
Full-Stack Engineer on Experimentation Infrastructure Team

* Helped release v2 of Facebook's core experimentation platform
* Developed early efforts to support sequential decision making in Facebook’s core experimentation platform
* Internal supporter of PlanOut (https://github.com/facebookarchive/planout), a DSL for experimentation

### Machine Learning Undergraduate Student Instructor @ UC Berkeley
Jan 2015 – Jan 2016
I am a Teaching Assistant for Berkeley's Intro to Machine Learning Course (CS 189/289), an approximately 400 person advanced undergraduate/mezzanine graduate course. 

I hold recitation sections, reviewing and introducing topics in machine learning, as well as office hours. 
I design problem sets and run Kaggle competitions for the course.
In addition, I assist in designing exams, and helping to guide graduate students for their final projects.

### Software Engineering Intern @ Facebook
Jan 2015 – Jan 2015 | Menlo Park, CA
Quantitative Engineering Team

During my internship, I developed a text insight tool for Product Marketing Managers and Marketing Partners, based on text clustering via word2vec. I worked full-stack, from the modeling layer all the way to an internal UI to surface these insights. 

The quantitative engineering team was an early effort by Facebook to deliver business intelligence through advanced statistics and ML, delivering insights to key business functions including IT, Marketing, Sales, and HR.

### CS162 (Operating Systems) Reader @ UC Berkeley
Jan 2015 – Jan 2015
Wrote scripts for Berkeley's autograder framework, used to effectively grade courses of >300 students.
Graded student exams and homeworks

### Software Engineering Intern @ Amazon Cloudsearch (A9.com)
Jan 2014 – Jan 2014
- Designed a new AWS-backed architecture decreasing search update latency in Amazon’s search-as-a-service product
- Improved advertising coverage on Amazon through inference on user browsing history using Hive (Hackathon 2nd place)
- Developed internal tools using Amazon S3 for debugging issues associated with high-traffic scalability in search

### Python/Django and Openstack Developer @ CableLabs
Jan 2013 – Jan 2014 | Louisville, Colorado
-Developed a LAMP media server using the Django framework and jQuery/AJAX, supporting features including mutli-tag filtering, detailed privacy controls, embed code generation, and a easy-to-use AJAX favoriting button.
-Integrated Celery/RabbitMQ to enable multiprocessing for non-blocking file uploads/conversions
-Deployed multi-node OpenStack private cloud architecture, demo-ing SDN capabilities using 4 pica8 OpenFlow switches

### Engineering Intern @ Bureau of Reclamation
Jan 2011 – Jan 2012

### Research Assistant @ Colorado School of Mines
Jan 2010 – Jan 2011
- Coded motes to detect seismic activity in mines, learning nesC to operate within the constraints of TinyOS
- Developed for the back-end of a project connecting technical conference attendees, in Python and Bash
- Redesigned the research group’s website from scratch, without any prior web development experience (toilers.mines.edu)


## Education
### Bachelor of Science (BS) in Electrical Engineering and Computer Science
University of California, Berkeley


## Contact & Social
- LinkedIn: https://linkedin.com/in/shaundsingh

---
Source: https://flows.cv/shaunsingh
JSON Resume: https://flows.cv/shaunsingh/resume.json
Last updated: 2026-04-11