AI Engineer & Data Engineer
I'm an AI Engineer, Data Scientist, and Data Engineer passionate about building intelligent data and Voice AI systems that solve real-world problems across industries.
Currently researching at the Multimodal AI Lab (MAIL), where I focus on Voice AI research and development advancing technologies in speech recognition (ASR), text-to-speech (TTS), and speaker recognition and separation.
My expertise spans data pipeline architecture, ETL automation, and machine learning system design, with a strong foundation in both AI model development and data infrastructure.
Community & Leadership
Advisor: Prof. Hanseok Ko
The Multimodal AI Lab (MAIL) conducts cutting-edge research in multimodal signal processing, deep learning, and AI at the Catholic University of America.
Research: ASR, TTS, Speaker Recognition & Separation, Underwater Acoustics, Audio Deepfake Detection, Human-Computer Interaction (HCI)
Multimodal AI Lab, Catholic University of America
March 2025 - Present
Selected member of AWS Community Builders, an exclusive program for technical leaders who contribute to the global cloud community through content creation, mentoring, and knowledge sharing. Members gain direct access to AWS product teams and help shape AWS services.
Data Category
March 2022 - Present
GEO AquaWatch is a global initiative under the Group on Earth Observations (GEO) that uses satellite and Earth Observation data to monitor water quality across inland and coastal waters worldwide.
The Early Career Society (ECS) is a global group that empowers early career scientists through mentoring, webinars, hackathons, and research collaboration in aquatic remote sensing.
Role: Leading community engagement, organizing Water Talks webinar series, mentoring early career researchers, and coordinating hackathon challenges.
Co-Chair — Jan 2025 - Present
Co-Vice Chair — Dec 2024 - Jan 2025
Co-leading the Google Earth Engine Nairobi developer community, organizing workshops, hackathons, and training sessions on geospatial analysis and remote sensing using GEE.
Role: Facilitating community events, mentoring developers in Earth observation data analysis, and promoting the use of GEE for environmental monitoring and climate research.
Nairobi Chapter
2023 - Present
TechUpAfrica is a social enterprise that trains and mentors young Africans in tech skills, bridging the gap between education and industry-ready talent.
Role: Mentored aspiring data engineers on ETL pipelines, data warehousing, SQL, and cloud data tools, guiding them from foundational concepts to hands-on project delivery.
TechUpAfrica
Feb 2023 - Sep 2023
Led the Data Science track at the JKUAT Google Developer Group, a university-based developer community supported by Google that fosters peer learning and technical growth.
Role: Organized study jams, led hands-on workshops on machine learning and data analysis, and mentored students through Google's developer programs and hackathons.
JKUAT Google Developer Groups
Aug 2021 - Sep 2022
The World Water Quality Alliance (WWQA) is a UNEP-led global partnership that brings together scientists, policymakers, and practitioners to address freshwater quality challenges using data-driven approaches and Earth observation.
Focus: Contributing to global water quality monitoring efforts through remote sensing and geospatial data analysis.
United Nations Environment Programme
2024 - Present
The American Geophysical Union (AGU) is the world's largest Earth and space science society, with over 130,000 members across 130+ countries advancing discovery in geophysics, climate, hydrology, and related disciplines.
Focus: Engaging with the global geoscience community on water quality research, remote sensing applications, and climate-smart data solutions.
Advancing Earth and Space Sciences
2024 - Present
Research & Writing
My research spans Voice AI, water quality remote sensing, geospatial analysis, and data engineering. View my full list of publications and citation metrics on Google Scholar.
View Google Scholar Profile