Open to opportunities

patience nyasulu

@patiencenyasulu

Message

AI/ML researcher and Python developer building production-ready machine learning solutions.

Zimbabwe

Message

What I'm looking for

I seek research or engineering roles in AI/ML where I can build and deploy models, work in collaborative teams, grow technical expertise, and contribute to impactful, data-driven products.

I am an AI and Machine Learning graduate with hands-on research experience building and validating ML models, conducting data analysis, and designing end-to-end pipelines using Python and common ML frameworks.

As an AI Research Assistant I collaborated remotely with an Azure AI research lab and Dublin City University on neural networks, recommender systems and time-series transformers, contributing to model design, dataset analysis, and project reporting.

I have completed projects in credit-score classification, sentiment analysis with BERT, handwritten digit classification, IoT-based predictive maintenance, and music recommendation; I prioritize reproducible, well-documented code and practical deployment using tools such as TensorFlow, PyTorch, Hugging Face, Streamlit and cloud services.

Experience

Work history, roles, and key accomplishments

AI Research Assistant

AI Research Lab

Sep 2022 - Jul 2023 (10 months)

Collaborated on advanced AI research projects (neural networks and recommender systems), implemented transformer-based time-series recommendation methods, and analyzed large datasets to develop and validate models for publication and prototype use.

Python PyTorch TensorFlow Transformers OpenCV NLP Time Series Data Analysis

Education

Degrees, certifications, and relevant coursework

University of Zimbabwe

Bachelor of Science (Honours), Artificial Intelligence and Machine Learning

2020 - 2024

Grade: 2.1

Activities and societies: Research assistant work on neural networks and recommender systems; projects in predictive modelling, NLP, and computer vision; GitHub project portfolio.

Completed a BSc (Hons) in Artificial Intelligence and Machine Learning with hands-on research assistant experience developing ML models and performing data analysis.