Pierrette Umutoniwase
@pierretteumutoniwase
Energy and software engineer focused on ML, sustainability, and impactful AI solutions.
What I'm looking for
I am a recent graduate in Energy Engineering and Software Engineering (Machine Learning track) with a strong commitment to sustainability, data, and AI that improves people's lives. I combine hands-on dataset preparation, careful annotation, and model-building to deliver reliable ML solutions.
My capstone and project work includes hate-speech detection for a low-resource language, customer-support chatbot fine-tuning with Hugging Face transformers, IMDB sentiment analysis comparing logistic regression and LSTM, and reinforcement learning simulations with DQN and PPO agents.
I have practical experience in preprocessing, tokenization, embeddings, error analysis, and deployment using Python, Flask/Django, and Git, and I contributed to sustainable energy research during an internship. I value patience, precision, collaboration, and multidisciplinary teamwork.
I am excited to apply my skills to scalable AI solutions in the public sector and sustainability-focused projects where careful data work and model reliability matter.
Experience
Work history, roles, and key accomplishments
Built a hate-speech text classification model for a low-resource language, personally performing preprocessing, labeling, and dataset balancing to enable reliable training and evaluation.
Machine Learning Intern
ACE-ESD
Sep 2024 - Nov 2024 (2 months)
Supported research and technical reporting on sustainable energy projects and contributed to data handling and collaboration across multidisciplinary teams during a field internship.
Reinforcement Learning Developer
Created a custom OpenAI Gym environment for healthcare logistics and developed DQN and PPO agents with hyperparameter optimization and visualization of agent navigation.
NLP Project Developer
Fine-tuned a Transformer for a customer support chatbot, handled dialogue annotation and evaluation with NLP metrics, and deployed a simple interface to demonstrate real-world handling of edge cases.
NLP Researcher
Conducted IMDB sentiment analysis comparing logistic regression and LSTM approaches, executed preprocessing and achieved balanced accuracy across 50,000 reviews.
Education
Degrees, certifications, and relevant coursework
University of Rwanda, College of Science and Technology
Bachelor of Science, Energy Engineering
Activities and societies: Work and projects focused on sustainable energy research and technical reporting; extracurricular involvement with SheUnitesAfrica.
Pursuing a Bachelor of Science in Energy Engineering with coursework in thermodynamics, renewable energy systems, energy efficiency, and sustainable design.
African Leadership University
Bachelor of Science, Software Engineering (Machine Learning/AI)
Activities and societies: Projects in hate-speech detection, customer support chatbot, IMDB sentiment analysis, and reinforcement learning simulations; involvement in data annotation and model deployment.
Pursuing a Bachelor of Science in Software Engineering with a Machine Learning/AI specialization, covering courses in machine learning, deep learning, NLP, and reinforcement learning.
Hochschule Heilbronn
Exchange Programme (no degree), Automotive/Energy Systems
2024 - 2024
Activities and societies: Exchange coursework on energy systems, sustainability, and technology innovation.
Participated in an exchange programme focused on automotive and energy systems, sustainability, and technology innovation.
Availability
Location
Authorized to work in
Portfolio
upierrette-portfolio.netlify.appJob categories
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