Data Engineer
Shalom O is a Data Engineer with several years of experience in data-driven technologies and machine learning across healthcare, neurotechnology, and social media sectors. Proficient in Python, MATLAB, Java, and PyTorch, Shalom develops data pipelines, machine learning models, and mobile applications. He utilizes AWS services such as S3, Lambda, and RDS for building scalable data engineering solutions and employs tools like Bash scripts and Selenium for data analysis and web scraping. At the University of Maryland, Shalom engineered a pipeline to create a dataset of over 5 million COVID-19-related tweets, using Python and Bash scripts. He also developed a machine learning model at Duke University to enhance speech intelligibility for cochlear implant users, contributing to a NeurIPS 2025 publication. Shalom holds a Bachelor of Science in Computer Science from Howard University. He is well-suited for roles that involve complex data engineering projects and the integration of machine learning in healthcare and social media analytics.
Monitoring and Evaluation/Data Lead
MEDGLOBE Initiative, Lagos, Nigeria· OtherFeb 2026 — Present- Designing and implementing data collection/analysis tools to measure the impact of free medical outreach programmes in Lagos, Abuja, and Imo states.
- Training volunteer teams to ensure effective tool adoption.
Administrative and Technical Support Assistant
Blueprint Medtech Seedling Programme, NeuroTech Harbor, National Institute of Health· HealthTechAug 2024 — May 2025- Supported experts from Harvard, Howard, and Johns Hopkins Universities in evaluating gaps in technologies and commercialization plans for various novel neurotechnologies from start-ups and academic teams.
- Provided technical support and training to client teams in using the Guidance and Impact Tracking System (GAITS) Platform Portal for project tracking, reporting, and data analysis.
Machine Learning Research at Pratt School of Engineering
Duke University· OtherMay 2024 — Jul 2024- Developed and implemented a machine learning model architecture that improves speech intelligibility for deaf people who use cochlear implants in reverberant environments with PyTorch and MATLAB.
- Co-authored 'The Omni-Expert: A Computationally Efficient Approach to Achieve a Mixture of Expertise in a Single Expert Model' [poster] published at the 2025 Conference on Neural Information Processing Systems (NeurIPS 2025), one of the top annual conference in the world for AI and machine learning along ICML.
Research Assistant - Data Engineering and Data Science
PandEval (UMIACS), University of Maryland· OtherJan 2023 — May 2024- Engineered and documented a pipeline to create a dataset of over 5 million tweets about COVID-19 with Python and Bash scripts.
- Engineered and documented a pipeline to gather census data on essential workers distributions across various geographies in the United States using Python, Selenium web scraper, and Bash scripts on a SLURM scheduler.
- Analysed how the attitude of social media users towards conventional scientific wisdom about COVID-19 affects how they interact with public health experts with Python, large language models, and NLP techniques.
Facebook (Meta) University Engineering Intern
Meta Platforms Inc· Enterprise & SaaSMay 2022 — Aug 2022- Designed, built, and documented an Android mobile application to simplify home chores for people with executive functioning challenges using Java, Android Studio, Parse Database.
Bachelor of Science in Computer Science
Howard UniversityUnited States2001 — 2025
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Data Engineer
Lagos, Nigeria · 3-4 years experience
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