Tiffany Jemosop
@tiffanyjemosop
Computer vision and machine learning engineer focused on practical, high-accuracy solutions.
KenyaWhat I'm looking for
I am a recent Computer Science graduate specializing in computer vision and machine learning, eager to apply academic knowledge to real-world challenges.
During my time as a Computer Vision Research Assistant at the University of Nairobi AI Lab, I helped develop algorithms for autonomous navigation, improved object detection in low-light conditions, and contributed to research on efficient 3D object reconstruction from 2D images.
My projects include a real-time facial emotion recognition system (92% accuracy on FER-2013) implemented as a Flask web app, and a YOLO + TensorFlow traffic sign detection system (95% real-time accuracy) trained on the German Traffic Sign Recognition Benchmark.
I am skilled in Python, OpenCV, TensorFlow, PyTorch, Keras, and supporting tools like Git, Docker, and Linux, and I seek to join a team where I can build reliable, deployable computer vision systems and continue growing as a researcher-engineer.
Experience
Work history, roles, and key accomplishments
Computer Vision Research Assistant
University of Nairobi AI Lab
Jun 2023 - Aug 2023 (2 months)
Assisted in developing computer vision algorithms for autonomous navigation, improved object detection accuracy in low-light conditions, and contributed to a research paper on efficient 3D object reconstruction from 2D images.
Education
Degrees, certifications, and relevant coursework
UAUnited States International University Africa
Bachelor of Science, Computer Science
2020 - 2024
Grade: 3.8/4.0
Activities and societies: Projects: Facial Emotion Recognition System (real-time CNN with OpenCV, 92% on FER-2013) and Traffic Sign Detection (YOLO/TensorFlow, 95% on GTSRB).
Bachelor of Science in Computer Science with a strong focus on computer vision and machine learning, completed with a 3.8/4.0 GPA.
Availability
Location
KenyaAuthorized to work in
Job categories
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