Personal Details

Research-oriented data science graduate with a strong foundation in machine learning, deep learning, data engineering, cloud computing, and software engineering. Experienced in designing, building, and deploying scalable, secure systems. Passionate about investigating open problems in trustworthy AI and intelligent sensing for autonomous, edge, and wearable systems, with applications in cybersecurity and digital health. Curious and adaptable, with a commitment to rigorous, collaborative inquiry.

Education

2024 - 2026        Duke University
MSc. Interdisciplinary Data Science (underway)

2016 – 2018        Virginia Polytechnic Institute and State University (VirginiaTech)
MIT. Information Technology

2001 – 2005        Kwame Nkrumah University of Science and Technology, Ghana
BSc. Computer Engineering

Ongoing Training & Learning

Self Learning: AWS Machine Learning Associate certification
Udacity: AWS-sponsored AI Scientist Nanodegree
AWS Cloud Institute: Cloud Application Developer track (Summer 2025 Cohort)

Professional Membership

Institute of Electrical and Electronic Engineers
National Society of Black Engineers
Turing Engineer (Turing.com) – July 2022

Languages and Operating Systems

Computer Languages and Frameworks .
Python, C#, Java, Spring Boot, ASP.Net, CSS, SQL, Javascript C/C++, Assembly, PHP and other languages when necessary React, Nodejs, GraphQL

Human Languages
Fante, English, Twi

Operating Systems Experience and Application development
Windows Desktop, Windows Server, Linux, Mac OS, Android, IOS

Some hardware I’ve integrated, using their SDKs

• Canon Cameras
• Thales/Greenbit Fingerprint Scanners
• Futronic Fingerprint scanners
• Suprema Fingerprint Scanners
• Wacom Signature Pad
• Topaz Signature Pad
• Desko Passport Readers
• Star Receipt Printers
• NXP ePassport Chip