Cynthia Mutua

I use data to open futures for the people most systems overlook.

Grand Rapids, Michigan By way of Nairobi

I am a data and AI engineer, finishing a master's in data science and analytics this December and a second one in artificial intelligence in 2028, both at Grand Valley State University. I studied mathematics and computer science at JKUAT in Nairobi before that.

Most of my work ends up in the same place, which is the systems that make decisions about people — schools, labor markets, public records — and whether those systems can be trusted to be right. I build the pipelines and the models, and then I check whether they are telling the truth.

MIT Blueprint LabsFunded research on teacher retention
Dean's Honor List2025
I Am Grand Valley AwardFor contribution to the university
Open Avenues Build Fellow2026

Work

Things I built myself, with the numbers they actually produced.

2026 Python, LLM agents, USCIS disclosure data In progress

OPT Career Intelligence Agent

International students apply to employers who have never sponsored a visa, because nobody tells them which ones do. The information is public, in federal H-1B disclosure filings, but it is not in a form anyone can use when they are applying to forty companies in a week.

This is an agentic system that reads those filings and answers the question directly. It is my capstone, and I am opening it to the public this year.

CapstoneMaster of science in data science and analytics, 2026
2026 PyTorch

A transformer language model, built from scratch

Eight weeks as an Open Avenues Build Fellow, building and training a GPT-style model end to end — the tokenizer, byte-pair encoding, the training loop, and deployment. I wanted to know how the thing works at the level of the code rather than the level of the diagram.

End to endTokenizer through deployment, nothing borrowed
2026 R, tidymodels

Family engagement and equity

Generalized linear models across 25,391 students, asking whether family engagement protects students differently depending on income.

It does. The protective effect is 18 percent stronger for low-income students, at p = .009, and it held across four separate model specifications, which is the part that made me believe it.

25,391students in the sample
2025 R, Quarto, Census ACS

Poverty and gun violence

Census data merged with more than 100,000 incidents across all fifty states, tested with permutation tests, a 10,000-sample bootstrap, and Welch's t-test.

Poverty predicts the rate of incidents. Population does not, which is the assumption most people start with.

50 statesand more than 100,000 incidents
2025 Python, scikit-learn, mlxtend

Alzheimer's pattern discovery

A knowledge-discovery pipeline over 2,149 patients, reaching 93.8 percent accuracy with an interpretable decision tree rather than a model nobody can read, and validated three different ways.

In clinical work the interpretability is not a nice extra. A doctor has to be able to see why.

93.8%accuracy, from a tree a clinician can read
2025 Python, SQL, BigQuery, Looker

Weather ETL pipeline

A five-phase pipeline moving more than 96,000 records into SQLite and BigQuery, with a live Looker dashboard on the end of it. Ordinary engineering, built properly, which is most of what the job really is.

96,000records, moved and monitored
78schools in the authorizer portfolio I work across
34,000students whose data passes through it
2master's degrees, running at once
3 / 7continents, so far

Research

Work done with other people, where I can say less about the detail.

2026Third author

Teacher burnout and retention in Michigan charter schools

A study of the conditions teachers actually work in, produced with Dr. Matthew Missias and Basis Policy Research, and funded by MIT Blueprint Labs. A book chapter follows the paper.

BlueprintFunded by MIT Blueprint Labs
2027Proposed, WiCyS

Nothing Crashed

A talk about silent integrity failures in a public data pipeline, where a reference table can be wrong for months and never raise a single error. It covers the threat model, what detection coverage looks like in practice, and what it costs to put in.

WiCySWomen in Cybersecurity, conference proposal
2022 — 2023Nairobi

National curriculum research

At the Kenya Institute of Curriculum Development, through the country's move from the 8-4-4 system to CBC, including work on special needs education. It is where I learned what happens when a decision made in a spreadsheet reaches every school in a country.

NationalKenya Institute of Curriculum Development

Path

How I got here.

2018 — 2022

JKUAT

Bachelor of science in mathematics and computer science.

Nairobi, Kenya
2022 — 2023

Kenya Institute of Curriculum Development

Research analyst on the national curriculum transition and on inclusive education.

Nairobi, Kenya
2024 — now

Grand Valley State University

Master of science in data science and analytics, finishing December 2026, and a master of science in artificial intelligence through 2028. Graduate assistant data scientist in the Charter Schools Office, where I do the data engineering, build the Power BI reporting, and work on the research side with Blueprint Labs.

Grand Rapids, Michigan
2027 — 2028

Thesis

A master's thesis in artificial intelligence, advised by Dr. Yong Zhuang from Winter 2027.

Grand Rapids, Michigan

Beyond the data

The rest of it, which is not separate from the work.

ElsewherePiano, books, altitude

I am learning the piano, slowly, and the three pieces I am working on are River Flows in You, Collabo, and I Giorni. I am reading Braiding Sweetgrass at the moment and taking my time with it. I do yoga, I watch a lot of anime, and I will say yes to most things that involve height or speed.

I have been to three continents and I intend to see all seven. I pray, and my faith is the part of my week that makes the rest of it carry.

Administrative Officer, Graduate Student Association

Treasurer, Women in Computing

Resident Advisor

Member, Women in STEM