Fremah Agyemang
Research Assistant at Center for Equitable Artificial Intelligence and Machine Learning Systems (CEAMLS)
United States
Summary
👤
Senior🎓
Top SchoolFremah Agyemang is a software engineer and research assistant with 10 years of experience building backend systems and applied AI solutions, currently developing interpretable time-series deep learning models for healthcare at CEAMLS. She blends practical backend expertise in the Python ecosystem—Django, Celery, Docker—with research-grade work in explainable AI and bias mitigation to improve clinical decision-making and treatment forecasting. Her open-source contributions include meaningful backend improvements to Saleor Commerce, and she has a track record of delivering productivity gains such as a digital record system that cut file-search time by 60%. Pursuing an MS in Bioinformatics at Morgan State University, she sits at the intersection of software engineering, data science, and healthcare, bringing both production-grade engineering and research rigor to translational problems. Her motto, "Si Non Confectus, Non Reficiat," reflects a thoughtful, finish-first approach to designing reliable, auditable systems.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Bioinformatics, Master of Science - MS, Bioinformatics at Morgan State University
Stackoverflow
11reputation
0reached
1answer
0questions
Github Skills (17)
windbg10
raytracing10
dotnet10
clrmd10
dump10
csharp10
analyzer7
sos6
windows5
cli4
raii2
graph2
ply1
grafana1
boost1
Programming languages (3)
Github contributions (5)
fremag/ray-tracer
Jul 2019 - May 2020
The Ray Tracer Challenge
Contributions:242 commits, 158 pushes, 2 branches in 10 months
ray-tracerraytracing
fremag/Nats.Services
Sep 2017 - Nov 2017
Contributions:1 release, 43 commits, 30 pushes in 1 month
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