Looking for a job

ekemini User

@ekeminiuser1

Message

I build production AI systems for vision, multimodal, and edge applications.

Nigeria

Message

What I'm looking for

I'm open to remote international contract and full-time opportunities where I can build, deploy, and improve production AI systems across computer vision, multimodal AI, and MLOps.

At Watershed, I own the real-time video analytics lifecycle, from data collection and model training through deployment, monitoring, and production improvement. I increased video-processing throughput by approximately 33% per GPU and reduced edge inference latency to under 15 ms using ONNX, quantization, and TensorRT.

Previously at Deel, I trained and deployed YOLO and Mask R-CNN models for industrial automation in low-light, heavily occluded environments. I also cut dataset annotation time by approximately 40% with a pre-label-then-review workflow and partnered on REST and gRPC model microservices.

I build across computer vision, NLP, multimodal AI, and MLOps, including vision-language inspection workflows, RAG, MLflow, Docker, AWS, and GCP. I enjoy delivering reliable ML systems end to end and mentoring junior engineers through practical engineering work.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning & Computer Vision Engineer

Current

Watershed

Mar 2023 - Present (3 years 6 months)

Increased real-time video-processing throughput by approximately 33% per GPU and reduced edge-device inference latency to under 15 ms. Integrated vision-language models into inspection workflows and owned the full lifecycle of the real-time video analytics stack.

Onnx TensorRT Quantization Vision Language Models MLFlow Docker AWS GCP REST APIs gRPC Model Serving Monitoring Load Testing Inference Optimization Mentorship

Machine Learning Engineer (Computer Vision)

Deel

Jan 2020 - Feb 2023 (3 years 1 month)

Trained and deployed object-detection and segmentation models using YOLO variants and Mask R-CNN for industrial automation. Reduced annotation time by approximately 40% through pre-label-then-review workflows and packaged models as REST and gRPC microservices.

YOLO Mask RCNNs Object Detection Image Segmentation REST APIs gRPC Microservices Data Strategy annotation QA Model Evaluation Error Analysis Multi Modal Models

AI / Software Engineer

Starburst

Jun 2018 - Dec 2019 (1 year 6 months)

Built CNN and RNN models in Python with TensorFlow and PyTorch for forecasting and classification. Created reusable feature-engineering and EDA tooling and containerized model services with Docker for AWS and GCP deployment.