Collins Onyemaobi

● Overseeing Research and Development (R&D) with AI/DS Innovations ● Generative AI/Machine Learning Developer and Deployment ● Implemented Gemini API and ChatGPT API ● Developed a comprehensive backend Python services, integrating advanced ● Machine learning techniques such as quantization, chunking, hyperparameter tuning, and prompt engineering to enhance model performance. ● Python/Data Science (DS) Corporate Trainer

Led the development of High-performance web service with concurrent request asynchronous tasks, and Monitoring Cloud Container with Prometheus and Grafana, the Political Party Agent Platform, Observer groups Platform, REST APIs for the Live Monitor Voters Enrollment System (Django REST), Staff VIN Verification System (SVVS) and the deployment on these web server technologies Nginx, Gunicorn, Apache. Led the design and deployment of Virtualization and Higher Availability Infrastructure (on-premise or cloud-base) across Nigerian states as well as the continuous deployment of software systems on AWS, Heroku and Digital Oceans. Implemented Facial Recognition and Object Classification on Provisional Registration Roll (PRR) to National Electoral Commission (NEC) Liberia, 2020. Based on the total number of suspected duplicates, 32.45 % were confirmed duplicates.

Led the continuous development and deployment of both minor and major versions of the SEEDS EMR referred to as SEEDSCare which is a branch of an existing open source IQCare EMR to adapt to the funder's approved procedures and the Government of Nigeria (GON) reporting standards. The development of a data pipeline for data reconstruction and migration from facilities using legacy Medical Record Systems (MRS) and the development of additional modules for Pharmacy, Logistics, and Tuberculosis Care. Led the development and implementation of Bio-Surveillance system (Ta-ta-fo) for the Strengthening Epidemic Response Systems (SERS) project in Nigeria. An unsupervised machine learning Bio-Surveillance system, which is an automated electronic information system for monitoring, organizing, and visualizing reports of outbreaks of public health concerns in targeted geographical regions (Nigeria) according to location, time, and condition of the event. This system processes data from a number of sources such as social media, news agencies, and personal blogs and reports real-time data for prioritized diseases in Nigeria, such as HIV, hepatitis, flu, meningitis, measles, and malnutrition. I provided Tier 3 level of system support as reports were monitored in real-time from the Command and Control Center of the Nigeria Center for Disease Control (NCDC).