Ray Hagimoto

Lead ML Engineer

Chicago, Illinois, United States6 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in Bayesian inference and machine learning.
Published multiple papers in top-tier journals.
Strong background in data analysis and quantum software engineering.

Stackforce AI infers this person is a Research Scientist with expertise in Quantum Computing and Machine Learning.

Contact

Skills

Core Skills

Data AnalysisMachine Learning

Other Skills

Bayesian inferencePyMCTensorFlowspherical CNNsMonte Carlo methodsHPC clustersPythonpandasShapley valuesLightGBMstatistical analysisUNIX/Linuxbash scriptsPhysicsMathematics Education

About

Website: http://rayhagimoto.xyz

Experience

6 yrs 1 mo

Total Experience

2 yrs 9 mos

Average Tenure

5 mos

Current Experience

Infleqtion

Quantum Software Engineer

Dec 2025 – Present · 5 mos · Chicago, Illinois, United States · Hybrid

Susquehanna international group, llp (sig)

Quantitative Research Intern

Jun 2024 – Aug 2024 · 2 mos · Bala-Cynwyd, Pennsylvania, United States · On-site

Conducted exploratory analysis on financial data using Python and pandas-like packages.
Utilized Shapley values for feature engineering and trained a boosted decision tree model in LightGBM.
Developed a trading strategy in a simulated environment based on real data insights.

PythonpandasShapley valuesLightGBMData AnalysisMachine Learning

Rice university

Graduate Research Assistant

Aug 2020 – Dec 2024 · 4 yrs 4 mos · Houston, Texas, United States · On-site

Designed Bayesian inference pipelines with PyMC and TensorFlow for parameter recovery from cosmological data
Trained spherical CNNs to extract physical parameters from simulated CMB sky maps
Constructed simulation-based estimation pipelines with Monte Carlo methods across 150,000+ samples using HPC clusters
Published 4 papers, in top-tier journals, including 1 first-author, on cosmological inference using Bayesian models

Bayesian inferencePyMCTensorFlowspherical CNNsMonte Carlo methodsHPC clusters+2

University of chicago

Research Assistant

Jun 2019 – Aug 2019 · 2 mos · Chicago, Illinois, United States

Developed Python scripts for statistical analysis on cosmic microwave background data.
Submitted distributed computing tasks to UChicago's high performance computing center using tools like slurm.
Investigated Cosmic Microwave Background Correlations near Ninety Degrees and published results in ApJ Letters.
Utilized UNIX/Linux and bash scripts environment for data analysis and research tasks.

Pythonstatistical analysisUNIX/Linuxbash scriptsData Analysis

Brigham young university

Research Assistant

Jun 2018 – Aug 2018 · 2 mos · Provo, Utah, United States · On-site

Studied quantum dynamics of a qubit coupled to a harmonic oscillator. This project was sponsored by the National Science Foundation under the NSF Research Experience for Undergraduates program.