Engineer by trade. Traveler by choice. Photographer when inspiration strikes.
navigate
01
About
02
Education
03
Projects
04
Experience
05
Skills
06
Research
07
Programs
08
Contact
exposure log — organizations & companies
01 — About
I'm a Software Engineer who loves building things, exploring the world, and capturing it
through a camera lens. When I'm not coding, I'm usually reading, playing basketball or
football, or catching up on Attack on Titan.
I build things that look as good as they work.
The engineer
I ship end-to-end and own the whole stack.
The researcher
ML and data science.
The photographer
I shoot on the side. It's why this portfolio looks like a darkroom.
02 — Education
Where I learned to build
B.S. Computer Science
Minnesota State University, Mankato
Focus in software engineering and machine learning.
Data Structures & AlgorithmsMachine LearningOperating SystemsComputer ArchitectureDatabase & Information SecuritySoftware EngineeringParallel ComputingDiscrete MathStatistics
Applications of AI Engineering
CodePath
Production AI engineering program focused on building and deploying LLM-powered
applications using LLMs, RAG, AI Agents, Prompt Engineering, AI Evaluation, and
Safety Guardrails.
try: ls · open promptforge · open myhlptracker · open speakup · whoami · hire · help
tinsay:~$
04 — Experience
Where I've been
Sephora
FICO
Intulize
Ceros
MNSU Research
Agentic AI Intern @ Sephora
Jun 2026 — Present · Remote
Corporate Systems
Building agentic AI systems and LLM-powered tooling to streamline internal workflows.
Data Science Intern @ FICO
May 2025 — Aug 2025 · San Diego, CA
AIID — AI Innovation and Development
Built interactive dashboards to process and visualize 10M+ financial records, enabling 20+ executives to quickly identify systemic data issues and act on root causes.
Developed anomaly detection and forecasting models that improved data quality by 30% for high-value clients.
Automated data quality alerts with scripting and scheduled tasks, cutting anomaly detection time by 75% and allowing executives to act 4x faster on high-risk issues.
Software Engineering Intern @ Intulize
Aug 2024 — Dec 2024 · Mankato, MN
Completed 300+ hours of intensive training in full-stack development and algorithm design.
Collaborated in Agile teams to deliver responsive applications with RESTful APIs, databases, and frontends.
Optimized database queries and API endpoints to reduce response time by 30%, improving scalability for concurrent users.
Quality Engineering Intern @ Ceros
Jun 2024 — Aug 2024 · Remote
Quality Engineering & Improvements Team
Developed and executed end-to-end, functional, and integration tests, reducing production defects by 20% across multiple system modules.
Authored test charters defining objectives, scope, and success criteria, improving clarity and alignment within Agile teams.
Implemented CI/CD pipelines that accelerated testing cycles and cut deployment times by 30%, ensuring faster releases.
Integrated automated regression tests into the build process, ensuring code stability and reducing post-release defects by 15%.
Machine Learning Researcher @ MNSU
Aug 2023 — May 2025 · Mankato, MN
Designed an end-to-end data pipeline from sensor input to model inference, enabling scalable wearable health-monitoring solutions.
Achieved a 25% accuracy enhancement in classification through rigorous experimentation with Python libraries including Scikit-learn and Keras.
Developed an Android smartwatch application to collect and transmit accelerometer data, enabling real-time activity recognition with 99% classification accuracy in experimental trials.
Comparison of Machine Learning for Human Activity Recognition over Accelerometer Datasets
T. Gebremariam, et al.
MNSU · Research2025
Comparative Analysis of Machine Learning and Deep Learning Models for Credit Card Fraud Detection
T. Gebremariam, E. Aregahegn
MNSU · Research2025
A Comparative Evaluation of XTTS-v2 and Tacotron 2 for Real-Time, High-Fidelity Text-to-Speech Applications
T. Gebremariam, T. Mitzel, J. Friedges, B. Reamer
Technical Report2024
Comparative Analysis of Machine Learning Models for Sentiment Analysis on Amazon Reviews
T. Gebremariam, T. MacCallum, C. Dahlback, B. Bocoum
07 — Programs
Communities & programs
MLT
MLT Career Prep
Selected for Management Leadership for Tomorrow's Career Prep, a fellowship coaching high-achieving underrepresented talent toward top tech and business careers.
Anthropic
Claude Campus Ambassador
Campus ambassador for Anthropic's Claude, running workshops and growing AI literacy and adoption among students.
Qualcomm
Qualcomm Student Accelerator
Selected for the Qualcomm Student Accelerator, an intern hiring and career-development program for top student engineers.
Discover
Discover Diversity Accelerator
Selected for Discover's Diversity Accelerator, a leadership and career-development program for underrepresented students in tech.
NAB Leadership Foundation
Technology Apprenticeship Program
Apprentice in the NAB Leadership Foundation's TAP, training in broadcast engineering, IT, and AWS cloud systems with industry mentorship, certifications, and a paid station internship.
ColorStack
ColorStack — Mankato Chapter
Founding member and treasurer of the ColorStack Mankato chapter, a community supporting Black and Latinx students in computing.