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About
As a Machine Learning Engineer, I possess specialized skills in Computer Vision, backed by a robust background in developing, optimizing, and deploying models for tasks such as image classification, object detection, tracking, and image segmentation. My expertise extends to both classical image processing methods and modern deep learning approaches, and I stay current with the latest research in the field.
Experience
TalaNanu Computer Vision Lead [May 2023 - Present]
Team Tabono: MathWorks MiniDrone Competition Winners of the virtual round EMEA, 2022. [Jun 22 - Oct 22]
Zummit Africa: Deep learning Intern [Nov 21 - Mar 22]
Machine Learning Engineer: Freelance. [Sep 21 - Nov 21]
Team Tabono: MathWorks MiniDrone Competition Winners of the virtual round EMEA, 2022. [Jun 22 - Oct 22]
Zummit Africa: Deep learning Intern [Nov 21 - Mar 22]
Machine Learning Engineer: Freelance. [Sep 21 - Nov 21]
Projects
Here are some of my projects involving computer vision that makes use of both classical image processing techniques and modern day deep learning approaches. (Hover or click on the images below)
Aerial Segmentation
Semantic Segmentation task with few images which were augmented using a custom opencv pipeline and trained using mobilenetv3small unet.
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Malaria and white blood cell detection
In order to aid in the speedy diagnosis of malaria in thick blood smears, I developed this prototyped malaria parasite and white blood cell counter. - Hosted using Google cloud run.
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License plate Recognition & Custom OCR
An OCR for license plate using HOG and Logistic regression. Developed the complete pipeline from getting images, preprocessing to training the object detector and ocr.
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