Master of Science in Information Technology | Kigali, Rwanda

• Specializations: Artificial Intelligence, Cybersecurity
• Relevant Courses: Intrusion Detection System, Deep Learning, Machine Learning for Signal Processing
• Thesis: Speech-Based Biomarker Transfer and Privacy-Aware Compression for Depression Detection in African Languages
• Advisors: Prof. Prasenjit Mitra and Prof. Rita Singh

Bachelor of Science in Computer Sciences | Lagos, Nigeria

• Specializations: Software Engineering
• Relevant Courses: Introduction to Data Structures, Concurrent Programming

Graduate Student Researcher | Kigali, Rwanda

Advised by Prof. Prasenjit Mitra and Prof. Rita Singh

• Developing speech-based biomarker transfer methods for depression detection in low-resource African languages using deep learning architectures including Wav2Vec2, HuBERT, and Whisper
• Implementing privacy-aware compression techniques to reduce model size by up to 70% while maintaining clinical-grade accuracy for deployable mental health screening tools
• Building end-to-end machine learning pipelines in Python (PyTorch, scikit-learn, Librosa) for feature extraction, model training, and evaluation on multilingual speech datasets

Blind Source Separation for Monaural Audio | Course Project

Research collaboration with Yabsera Yemanberhana and supervision by >Siddhartha Vanjari and Prof. Bhiksha Raj Ramakrishnan

• Implemented RPCA and NMF methods for separating vocals from musical accompaniment in single-channel recordings, achieving 2.82 dB SDR on MUSDB18-HQ benchmark (50 test songs)
• Developed Python pipeline using NMF with 60 components and frequency-based assignment, improving vocal separation by 4.75 dB over RPCA baseline (-5.23 → -0.48 dB)
• Conducted systematic evaluation identifying high performance variability (±6.25 dB) and 20% failure rate on dense arrangements, proposing multi-feature assignment for improvement

Summer Research Intern | Lausanne, Switzerland

Selected among the top 1.3% of global applicants for the competitive Summer@EPFL program. Supervised by Prof. Mary-Anne Hartley

• Developed machine learning models to predict overall survival in patients with hepatocellular carcinoma (HCC) using clinical tabular data, achieving AUC scores of 0.85+ through XGBoost and Random Forest ensemble methods
• Performed comprehensive feature engineering and data preprocessing on 2780 patient records with 111 clinical variables using Python (pandas, NumPy, scikit-learn) to identify key prognostic factors
• Conducted survival analysis using Cox proportional hazards models and Kaplan-Meier estimators to quantify risk stratification, enabling personalized treatment planning for oncology applications

Graduate Research Assistant | Kigali, Rwanda

Supervised by Prof. Carlee Joe-Wong and Prof. Jema David Ndibwile

• Designed and implemented backend infrastructure and database system using MySQL for deployment-ready prototype, supporting multi-site clinical audio data management while maintaining data sovereignty
• Conducted security analysis identifying vulnerability points and adversarial manipulation risks in the federated update pathway, proposing differential privacy and secure aggregation mechanisms tailored to clinical audio applications
• Collaborated with neonatologist in Tanzania to secure Ministry of Health approval, establishing regulatory framework for cross-border medical AI deployment in resource-constrained healthcare settings

Teaching Assistant — Usable Privacy and Security (Spring 2026) | Kigali, Rwanda

• Assist students from CMU-Africa and CMU Pittsburgh in understanding core concepts in human-centered security and privacy, support course delivery, grading, and hands-on projects under the supervision of Prof. Lorrie Cranor
• Guide students through research-oriented assignments on usable privacy, secure system design, and ethical user studies

Software Engineer | Dallas, Texas, USA (Remote)

• Developed backend services for Axxess HomeCare and other home-health solutions using C#/ASP.NET Core, supporting clinicians, caregivers, and patient management across the United States
• Implemented secure data-handling workflows and adhered to HIPAA-compliant engineering practices, strengthening system privacy and regulatory alignment
• Collaborated with cross-functional engineering teams across the U.S., India, and Botswana to improve system reliability and streamline clinical workflows

Software Engineer | Lagos, Nigeria

• Built a custom C#/ASP.NET Core error logger, reducing developer debugging time by 30%, and designed REST APIs and microservices powering a nationwide onboarding system serving 1M+ customers
• Built the backend system of a compliance focused application directed by the Central Bank of Nigeria
• Reduced job-processing times by ~4 minutes using multithreading and microservice refactoring for an account statement generation application

Implemented NMF-based blind source separation for monaural audio using Python (NumPy, Librosa, scikit-learn), achieving vocal isolation from musical accompaniment with performance evaluation on industry-standard benchmarks. Repository available on GitHub.

Developed and deployed machine learning models across classification, regression, clustering, and time-series tasks; full repository of implementations available on GitHub.

Implemented secure coding techniques, encryption algorithms, threat modeling exercises, and hands-on vulnerability assessments; code samples and reports available on GitHub.

Awarded a fully funded two-year graduate scholarship (valued at $120,000 total tuition) covering four semesters of the MSIT program.

Selected for the incubation of SafeSpeak based on venture potential; awarded up to $5,000 in funding, six-month mentorship, and entrepreneurship training.

Secured 2nd position among competing teams for the African Institute for Mathematical Sciences, Knowledge Technology, and Transfer Workshop; awarded a monetary prize.

Recognized for first-class academic performance; awarded a merit scholarship honorarium.

Co-designed and developed a training website to help medical doctors in Rwanda learn machine learning concepts, supporting the LiGHT Lab's global health education initiatives.

Mentored three undergraduate students in software engineering and machine learning, guiding them through hands-on projects and career development.

Designed an IT curriculum for Nigerian high-school graduates to build foundational computing skills during holiday breaks, preparing them for undergraduate studies.

Taught the Introduction to Computer Science course using VB.NET to support first-year students and strengthen computing literacy among incoming scholars.