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T

Thomas Mba

Software Engineer/AI & Machine Learning – PyTorch, CNN, Computer vision

Nigeria flagRemote, Nigeria
$5.00/hrIntermediateOpencv AI Kit OakMindrift

Key Skills

Software

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)
MindriftMindrift

Top Subject Matter

Medical imaging
Handwriting recognition
E-commerce - product categorization, product uploads, customer support

Top Data Types

ImageImage
TextText

Top Task Types

ClassificationClassification
Object DetectionObject Detection
Text SummarizationText Summarization

Freelancer Overview

Machine Learning Intern – Medical and Handwritten Character Image Annotation. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include PyTorch. Education includes Bachelor of Science, University of Jos (2021) and Diploma, NIIT (2022). AI-training focus includes data types such as Image and labeling workflows including Classification.

IntermediateEnglishSpanish

Labeling Experience

Machine Learning - Object Detection, Traffic Analyzer

VideoObject Detection
Engineered a high-speed object detection pipeline to monitor multi-lane traffic from CCTV feeds. Implemented YOLO-World for zero-shot detection, allowing the system to identify new vehicle types without retraining. Integrated ByteTrack for robust multi-object tracking across frames. Optimized model using TensorRT for edge deployment, achieving 45 FPS on an NVIDIA Jetson.

Engineered a high-speed object detection pipeline to monitor multi-lane traffic from CCTV feeds. Implemented YOLO-World for zero-shot detection, allowing the system to identify new vehicle types without retraining. Integrated ByteTrack for robust multi-object tracking across frames. Optimized model using TensorRT for edge deployment, achieving 45 FPS on an NVIDIA Jetson.

2026 - 2026

Machine Learning Intern – Medical and Handwritten Character Image Annotation

ImageClassification
Developed and trained computer vision models for disease prediction and handwritten character recognition tasks. Worked with medical datasets to classify disease presence and used convolutional neural networks to recognize handwritten characters. Labeling involved assigning categories to images for both disease and character recognition. • Implemented and evaluated CNNs using PyTorch. • Labeled images for training and validation data splits. • Conducted model comparison with multiple algorithms (Logistic Regression, SVM, etc.). • Documented the full AI pipeline and maintained technical README files.

Developed and trained computer vision models for disease prediction and handwritten character recognition tasks. Worked with medical datasets to classify disease presence and used convolutional neural networks to recognize handwritten characters. Labeling involved assigning categories to images for both disease and character recognition. • Implemented and evaluated CNNs using PyTorch. • Labeled images for training and validation data splits. • Conducted model comparison with multiple algorithms (Logistic Regression, SVM, etc.). • Documented the full AI pipeline and maintained technical README files.

2026 - 2026

Education

C

Cavendish University Uganda

Higher Education Certificate, Humanities

Higher Education Certificate
2023 - 2024
N

NIIT

Diploma, Information Technology (Software Engineering)

Diploma
2021 - 2022

Work History

C

CodeAlpha

Machine Learning Intern

Remote
2026 - 2026
F

Freelance

Software Developer

Kampala
2024 - 2025